ISSN 1349-113X
JAXA-SP-16-003

平成27年度JAXA Supercomputer System
Technical Summaries 2015

セキュリティ・情報化推進部
平成28年9月

ᖹᡂ 㻞㻣 ᖺᗘ 㻶㻭㼄㻭 䝇䞊䝟䞊䝁䞁䝢䝳䞊䝍䝅䝇䝔䝮฼⏝ᡂᯝሗ࿌㻌
JAXA Supercomputer System Technical Summaries 2015㻌┠㻌
┠ 㻌 㻌ḟ
ḟ࠙ᡂᯝᴫせࠚ
⯟✵ศ㔝
1. ᅽ⦰ᛶ஧┦ὶࡢ㧗⢭ᗘᩘ್◊✲············································································
2. ࢚ࢥ࢘࢕ࣥࢢᢏ⾡ࡢ◊✲㛤Ⓨ⎔ቃ⯟✵ᶵࢩࢫࢸ࣒◊✲㸸ᶵయ-࢚ࣥࢪࣥ⤫ྜప㦁㡢໬ᢏ⾡········································································
3. ࢚࣮ࣟࢪࣙࣥ࡟࠿࠿ࢃࡿࢩ࣑࣮ࣗࣞࢩࣙࣥ ····························································
4. ࢚ࣥࢪࣥ㦁㡢పῶᢏ⾡ࡢ◊✲···············································································
5. ᶵయ㦁㡢పῶᢏ⾡ࡢ㣕⾜ᐇド㸦FQUROH㸧ࣉࣟࢪ࢙ࢡࢺ ········································
6. ྾㡢ࣛ࢖ࢼ࣮ࡢ LES ゎᯒ ···················································································
7. ⯟✵ᶵ㛤Ⓨࡢ㧗㏿໬ࢆᐇ⌧ࡍࡿᇶ┙ᛂ⏝ᢏ⾡ࡢ◊✲㛤Ⓨ㸦ඹ㏻ᇶ┙✵ຊゎᯒࢶ࣮ࣝ㸧 ···8. ⯟✵ᶵ࡟ᑐࡍࡿ Vortex Generator ࡢຠᯝ ······························································
9. ⯟✵⏝࢚ࣥࢪࣥࡢࣇ࢓ࣥࣈ࣮ࣞࢻὶࢀࡢቃ⏺ᒙ㑄⛣ࡢ LES ࡟ࡼࡿᩘ್ண ················
10. ᑠᆺ⯟✵ᶵ࢚ࣥࢪࣥ⏝⇞↝ჾෆ㒊ὶࡢゎᯒ ····························································
11. ࢢ࣮࢚ࣜࣥࣥࢪࣥ㸦㉸㧗 ࢱ࣮ࣅࣥᢏ⾡ࡢ◊✲㸧 ···················································
12. ᐇᶵᙧ≧⇞ᩱࣀࢬࣝࡢᚤ⢏໬࡟㛵ࡍࡿ◊✲ ····························································
13. ࢩ࣑࣮ࣗࣞࢩࣙࣥᣐⅬࡢᩚഛ···············································································
14. ᑗ᮶ᆺᅇ㌿⩼⯟✵ᶵ࡟㛵ࡍࡿ◊✲·········································································
15. ᑗ᮶ᆺ᪑ᐈᶵࡢ✵ຊ࣭㦁㡢᭱㐺໬◊✲ ··································································
16. ᑗ᮶⯟✵ᶵ࡟ᑐࡍࡿ⮬↛ᒙὶ⩼タィᢏ⾡ࡢ◊✲ ······················································
17. Ỉ⣲฼⏝㧗㏿᥎㐍ࢩࢫࢸ࣒ࡢ◊✲·········································································
18. 㟼⢔㉸㡢㏿ᶵᢏ⾡ࡢ◊✲㛤Ⓨ···············································································
19. 㑄㡢㏿ࢹࣝࢱ⩼࡟࠾ࡅࡿࣂࣇ࢙ࢵࢺ⌧㇟ࡢᩘ್ゎᯒ ················································
20. 㑄㡢㏿ࣞ࢖ࣀࣝࢬᩘຠᯝヨ㦂ᢏ⾡·········································································
21. ㉸㡢㏿ᶵࡢ⮬↛ᒙὶ⩼タィᢏ⾡ࡢ◊✲ ··································································
22. ᴟ㉸㡢㏿࢖ࣥࢸ࣮ࢡ࡟㛵ࡍࡿᩘ್ⓗ◊✲ ·······························································
23. పࢯࢽࢵࢡࣈ࣮࣒タィᴫᛕᐇドᶵ㸸D-SEND#2 ࡢᩘ್ゎᯒ······································
24. ࢹࢪࢱࣝ/࢔ࢼࣟࢢ࣭ࣁ࢖ࣈࣜࢵࢻ㢼Ὕࢩࢫࢸ࣒㐠⏝ ···············································
25. ⇞↝ჾゎᯒ࡟㛵ࡍࡿ◊✲·····················································································
26. 㠀ᵓ㐀 CFD ࢥ࣮ࢻ࡟ࡼࡿ࢟ࣕࣅࢸ࢕㡢㡪᣺ືண ࡟㛵ࡍࡿ◊✲ ·······························
27. 㠀ᵓ㐀 CFD ࢥ࣮ࢻࡢ㧗㏿໬࡟㛵ࡍࡿ◊✲ ·····························································
28. 㠀ᐃᖖ≉ᛶࢆ⪃៖࡟ධࢀࡓపࣞ࢖ࣀࣝࢬᩘ⩼ࡢ᭱㐺タィࡢ◊✲ ·································
29. పࢯࢽࢵࢡࣈ࣮࣒タィホ౯ࡢࡓࡵࡢ㏆ഐሙᅽຊἼᙧ᥎⟬ᡭἲࡢ㧗⢭ᗘ໬ ·····················
30. ࣇࣟࣥࢸ࢕࢔㡿ᇦࡢ㠀ᐃᖖ CFD ゎᯒᢏ⾡࡟㛵ࡍࡿ◊✲ ···········································
31. ࣜࣈࣞࢵࢺୖࡢὶࢀࡢᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ ·························································
32. ὶయ⣲Ꮚ࡟ࡼࡿ✵Ẽὶ㔞㓄ศไᚚᢏ⾡ࡢ◊✲ ·························································
33. ࠙aFJR ࣉࣟࢪ࢙ࢡࢺࠚLS-DYNA ࡟ࡼࡿ࣐ࣝࢳࢫࢣ࣮ࣝᵓ㐀ゎᯒ ·····························
34. CFD ࡢᑠᆺ᪑ᐈᶵタィ㐺⏝࡟㛵ࡍࡿ◊✲ ······························································

䠉㼕䠉

3
6
10
12
14
18
20
22
25
27
29
30
32
34
37
40
42
44
46
48
50
52
54
56
59
61
63
65
67
69
72
74
76
79

35. EFD/CFD ⼥ྜࢹ࣮ࢱά⏝ᢏ⾡ ············································································
36. JAXA-QSST ᙧ≧ࡢ HLD ᭱㐺タィ ······································································
37. LPT ࣇࣛࢵࢱゎᯒ ·····························································································
38. Multi-Fidelity ࢔ࣉ࣮ࣟࢳ࡟ࡼࡿ᥎㐍⣔⤫ྜᙧែ㉸㡢㏿ᶵࡢ✵ຊ᭱㐺໬······················

Ᏹᐂศ㔝39. ⇕ᖏ㝆㞵ほ ⾨ᫍ㸦TRMM㸧㸭㝆㞵࣮ࣞࢲ࣮㸦PR㸧㐠⏝஦ᴗ ··································
40. Ᏹᐂ⯟✵ᢏ⾡ࡢ⥔ᣢ࣭ᙉ໬࡟ಀࡿ◊✲ճࡑࡢ௚ࡢ◊✲㸦」ྜࢧ࢖ࢡ࢚ࣝࣥࢪࣥ㸦RBCC㸧ࡢᇶ┙ⓗ◊✲㸧 ··················································
41. ᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥཬࡧᏱᐂᶵࢫࣛࢫࢱࡢ⇞↝㛵㐃ゎᯒ ·······································
42. ᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥ⇞↝ჾᛶ⬟࣭ᑑ࿨ண ゎᯒ ···················································
43. ᾮయࣟࢣࢵࢺୖẁ࢚ࣜࣥࢺࣜ᫬ࡢⴠୗศᩓᇦホ౯ἲࡢぢ┤ࡋ᳨ウᨭ᥼ ························
44.
ᐊຠᯝ࢞ࢫほ ᢏ⾡⾨ᫍ 2 ྕ㸦GOSAT-2㸧㐠⏝஦ᴗ࡟࠾ࡅࡿࢫࣃࢥࣥ฼⏝᳨ウ ·······
45.
ᐊຠᯝ࢞ࢫほ ᢏ⾡⾨ᫍ㸦GOSAT㸧㐠⏝஦ᴗ·····················································
46. ᨵⰋᆺ㧗ᛶ⬟࣐࢖ࢡࣟἼᨺᑕィ㸦AMSR-E㸧㐠⏝஦ᴗ࡟࠾ࡅࡿࢫࣃࢥࣥ฼⏝···············
47. ㌶㐨ୖࡢࣟࢣࢵࢺ࣭⾨࣭ᫍᏱᐂࢫࢸ࣮ࢩࣙࣥ࿘ࡾࡢᕼⷧὶゎᯒ ·································
48. ᙉᗘྍኚ㓟໬๣᪕ᅇὶᆺࣁ࢖ࣈࣜࢵࢻࣟࢣࢵࢺࡢ⇞↝ࢩ࣑࣮ࣗࣞࢩࣙࣥ ·····················
49. 㧗㏿ὶయຊᏛ࡟㛵ࡍࡿᏛ⾡◊✲············································································
50. ෌✺ධ࢝ࣉࢭࣝ࡟࠾ࡅࡿ RCS ᖸ΅ሙࡢண ···························································
51. ᑗ᮶㍺㏦ᢏ⾡ࡢ◊✲㸦ࣟࢣࢵࢺ࢚ࣥࢪࣥせ⣲ᩘ್ゎᯒ㸧 ··········································
52. ᪂ᆺᇶᖿࣟࢣࢵࢺ✵ຊ≉ᛶᇶ♏ヨ㦂······································································
53. ☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢࢲ࢖ࢼ࣑ࢡࢫ࡟㛵ࡍࡿ◊✲ ···················································
54. ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥෆ㒊ᙧ≧ࡢ✵ẼຊᏛⓗຠᯝ ·············································
55. タィ᥈ᰝ࡟㛵ࡍࡿᏛ⾡◊✲··················································································
56. ኱Ẽ✺ධᶵࡢ⇕✵ຊホ౯ࢩࢫࢸ࣒ࡢ㧗ᗘ໬ ····························································
57. ከḟඖ MHD ࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡿ㉸᪂ᫍṧ㧁ࡢ◊✲ ··········································
58. ᭶╔㝣ೃ⿵ᆅⅬࡢࢩ࣑࣮ࣗࣞࢩࣙࣥ࠾ࡼࡧゎᯒ ······················································
59. ὶࢀሙࡢ᭱㐺ไᚚ࡟㛵ࡍࡿ◊✲············································································
60. 㠀⥺ᙧࣇ࢛࣮ࢫࣇ࣮ࣜ☢ሙィ⟬࡟ࡼࡿࠕࡦࡢ࡛ࠖほ ࠿ࡽࡢኴ㝧ࢥࣟࢼ☢ሙ᥎ᐃ·········
61. ࣉࣟࢪ࢙ࢡࢺㄢ㢟ᑐᛂゎᯒ··················································································
62. ࣟࢣࢵࢺ㡢㡪⎔ቃண ᢏ⾡ࡢ◊✲㛤Ⓨ ··································································
63. ࣟࢣࢵࢺ㧗࿘Ἴ⇞↝᣺ື࡟㛵ࡍࡿ◊✲ ··································································
64. ࣟࢣࢵࢺ෌✺ධࢹ࣮ࢱྲྀᚓ◊✲············································································
65. ࣟࢣࢵࢺ࣮࣒ࣛ」ྜࢧ࢖ࢡ࢚ࣝࣥࢪࣥ࡟࠾ࡅࡿᛶ⬟ྥୖࡢࡓࡵࡢ࢚ࢪ࢙ࢡࢱ࣭࣮ࣔࢻ
ࡢᩘ್ィ⟬ ·······································································································
66. ࣟࢣࢵࢺ࣭Ᏹᐂᶵࡢ᥎㐍⸆⟶⌮࡟ಀࡿᩘ್ゎᯒ ······················································
67. ᝨᫍ኱Ẽࡢᑐὶᵓ㐀࡟㛵ࡍࡿᩘ್ⓗ◊✲ ·······························································
68. GPM ඲⌫㝆Ỉ࣐ࢵࣉࡢࢹ࣮ࢱྠ໬ᡭἲࡢ◊✲ ·······················································
69. GPM/DPR ࡢࢹ࣮ࢱཷಙฎ⌮࡟࠾ࡅࡿࢫࣃࢥࣥ฼⏝ ················································
70. 3 ࣉࣟࢪ࢙ࢡࢺᨭ᥼ࡢᑕⅬ㡢㡪ィ⟬ ······································································
71. LE-9 ࢚ࣥࢪࣥ OTP ࢱ࣮ࣅࣥࡢ㛤Ⓨ ·····································································

䠉㼕㼕䠉

81
83
85
87

90
93
97
100
102
104
106
109
111
113
115
117
119
121
123
127
131
133
136
139
141
143
145
147
149
151
153
155
157
159
162
165
167

ᇶ♏◊✲
72. 㧗㏿ὶయࢯࣝࣂ FaSTAR ࢆ⏝࠸ࡓ RLG ᙧ≧࡟ᑐࡍࡿ㠀ᐃᖖ✵ຊゎᯒ ·······················
73. ⯟✵Ᏹᐂᶵෆ㒊㡢㡪⎔ቃᨵၿࡢࡓࡵࡢ㡢㡪ゎᯒᢏ⾡ࡢ◊✲ ·······································
74. 㧗㈇Ⲵᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ㧗㏿໬ࡢ◊✲ ····························································
75. 㧗ࣞ࢖ࣀࣝࢬᩘ஘ὶᄇὶ࡟࠾ࡅࡿᚤ⣽ࢫࢣ࣮ࣝࢫ࣮࢝ࣛΰྜ㐣⛬ࡢゎ᫂ ·····················
76. ᴟ㉸㡢㏿ᇦࡢ໬Ꮫ཯ᛂὶ࡟࠾ࡅࡿᩘ್ⓗ◊✲ ·························································
77. ෌✺ධ࢝ࣉࢭࣝࡢ㑄㡢㏿୙Ᏻᐃ࡟㛵ࡍࡿ◊✲ ·························································
78. ᨐ஘ሙ㔜␚࡟ࡼࡿ URANS ゎᯒࡢ㑄㡢㏿ࣂࣇ࢙ࢵࢺண ⢭ᗘྥୖ࡟㛵ࡍࡿ◊✲ ···········
79. 㑄㡢㏿⏝➨ 2 ไ㝈㛵ᩘ࡟ࡼࡿ㧗ゎീᗘ࣭㧗ຠ⋡ CFD ᡭἲ ········································
80. ⇞↝ჾタィࣇࣟࣥࢺ࣮ࣟࢹ࢕ࣥࢢࡢࡓࡵࡢࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࡢ◊✲ ·····················
81. 㣕⩧యࡢ⾲㠃ᅽຊ࣭ ᗘศᕸࢩ࣑࣮ࣗࣞࢩࣙࣥ ······················································
82. 」㞧ᙧ≧ࢆ཯ᫎࡋࡓᝨᫍ⾲ᒙ ᗘࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟㛵ࡍࡿ◊✲ ······························
83. 㢼㌴⩼࿘ࡾࡢ CFD ゎᯒ······················································································
84. 3 ḟඖࣂࣇ࢙ࢵࢺゎᯒ࡟㛵ࡍࡿ◊✲ ······································································
85. FaSTAR ࡟ࡼࡿ㢼㌴⩼➃ ࡢᩘ್ゎᯒ ··································································
86. FX100 ࡟࠾ࡅࡿ UPACS ࡢᛶ⬟ホ౯࡜㧗㏿໬ࢳ࣮ࣗࢽࣥࢢ ······································
87. VOF ἲࢆ⏝࠸ࡓᖹ㠃ᾮ⭷ࡢẼὶᚤ⢏໬⌧㇟ࡢᩘ್ゎᯒ ············································

168
170
173
175
177
179
181
183
185
188
190
192
194
196
198
200

ࡑࡢ௚
88. ኱ᆺ㢼Ὕ࡟࠾ࡅࡿỗ⏝ PIV ࢩࢫࢸ࣒ࡢ㛤Ⓨ ···························································
89. ⮬ື㌴࢚ࣥࢪࣥ⇞↝ᐊ 3 ḟඖ CFD ࢥ࢔ࢯࣇࢺࡢᵓ⠏ ··············································
90. ࣉࣟࢪ࢙ࢡࢺᑐᛂゎᯒᨭ᥼ࢩࢫࢸ࣒ࡢ㛤Ⓨ ····························································
91. JAXA ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࡢ㐠Ⴀ㸦ゅ⏣㸧 ·························································

202
203
205
207

኱Ꮫඹྠ฼⏝㸦⯟✵ศ㔝㸧92. ㉸㡢㏿㣕⾜య࿘ࡾࡢᅽຊሙィ⟬ཬࡧ✵ຊᛶ⬟ホ౯ ···················································
93. 㣕⩧యࡢ✵ຊ࣭ᵓ㐀࣭㣕⾜ຊᏛ㐃ᡂゎᯒ࡟㛵ࡍࡿ◊✲ ·············································

209
212

኱Ꮫඹྠ฼⏝㸦Ᏹᐂศ㔝㸧94. Ỉᫍࡢᮦᩱ≀㉁ࡢ㉳※㸪⇕ྐ㸪࠾ࡼࡧ☢ሙ⏕ᡂ ······················································
95. ከ┠ⓗ✵ຊタィၥ㢟࡟㛵ࡍࡿ◊✲·········································································
96. ㉸⮫⏺஘ὶࡢ㧗⢭ᗘᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ ····························································
97. ⣽㛗≀యࡢ✵ຊ≉ᛶ࡟ࡘ࠸࡚ࡢᩘ್ゎᯒ ·······························································
98. ↓⾪✺☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢ㐠ືㄽⓗ◊✲ ····························································
99. ࣟࢣࢵࢺ࢚ࣥࢪࣥ࠾ࡼࡧ㉸㡢㏿㣕⩧య⏝࢚ࣥࢪࣥ࡟㛵ࡍࡿ⇞↝ὶయࡢ◊✲ ··················
100. ᝨᫍ኱Ẽࡢᑐὶᵓ㐀ࡢẚ㍑ᩘ್ࣔࢹࣜࣥࢢ ····························································
101. DNS ゎᯒ࡟ᇶ࡙ࡃ㧗࣐ࢵࣁᩘΰ┦஘ὶ LES ࣔࢹࣝࡢᵓ⠏ ·······································

215
218
221
223
225
227
229
232

኱Ꮫඹྠ฼⏝㸦ᇶ♏ศ㔝㸧
102. ᅽ⦰ᛶቃ⏺ᒙ࡟࠾ࡅࡿᒙὶ㸫஘ὶ㑄⛣ᚋᮇ㐣⛬ࡢ㠀⥺ᙧ ືຊᏛࡢゎ᫂ ·····················
103. ┤஺᱁Ꮚἲࢆ⏝࠸ࡓᅛẼᾮ୕┦ᅽ⦰ᛶὶయゎᯒࢥ࣮ࢻࡢ㛤Ⓨ࡜ᛂ⏝ ···························
104. Ⓨ㐩ࡋࡓ஘ὶࡢ኱つᶍᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ◊✲ ···················································

235
237
240

䠉㼕㼕㼕䠉

-------------------------------------------- ㈐௵⪅ู -----------------------------------------------㟷ᒣ๛ྐ㸦ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪Ⳣཎ⍛᫂㸪ᒣᮏ㈗ᘯ㸪ࣁ࣑ࢻࣞࢨ ࢣ࢖ࣛࣥࢹ࢕ࢩࣗ㸧 ·······
㟷ᒣ๛ྐ㸦ᮧୖ᱇୍㸪ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪ᯘ ㅬྖ㸪㏆⸨ ㈼㸧 ·······································
㟷ᒣ๛ྐ㸦ᒣ㇂ ᚭ㸧 ·······························································································
㟷ᒣ๛ྐ㸦ᑠᯘ ⯟㸪㛗ᑿ ᚿ㸧··················································································
㟷ᒣ๛ྐ㸦ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪ྜྷᮏ ⛱㸪௒஭࿴ᏹ㸪すᮧಙభ㸪▼ᕝ຾฼㸧 ······················
㟷ᒣ๛ྐ㸦ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪ྜྷᮏ ⛱㸪௒஭࿴ᏹ㸪すᮧಙభ㸪▼ᕝ຾฼㸧 ······················
㟷ᒣ๛ྐ㸦ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪ᯘㅬྖ㸪➉ᕝᅜஅ㸧 ······················································
㟷ᒣ๛ྐ㸦᳃ୖ⩌ᖹ㸧 ······························································································
㟷ᒣ๛ྐ㸦⇃⏣೺ኴ㸪⃝⏣ᜨ௓㸪ᶫᮏ ᩔ㸧 ·································································
㟷ᒣ๛ྐ㸦ᶫᮏ ᩔ㸪໭ᮧᆂ୍㸪㟷ᰠᣅஓ㸧 ·································································
㟷ᒣ๛ྐ㸦ᑠᓥⰋᐇ㸧 ······························································································
㟷ᒣ๛ྐ㸦ᮌᮧె኱㸧 ······························································································▼ᮏ┿஧㸦㟷ᮌⰋᑦ㸪㧗㛫Ⰻᶞ㸧···············································································ఀ⸨ ೺㸦୰໭࿴அ㸪ᮧᒣගᏹ㸪ఀ⸨ 㟹㸪⏣୰೺ኴ㑻㸪ᖹ஭ ஽㸧···································ఀ⸨ ೺㸦୰໭࿴அ㸪ಖỤ࠿࡞Ꮚ㸪ୖ㔝 ┿㸪ྂ㈡ᫍ࿃㸪஫஭᲍⤮㸪ᑠᯘ ⯟㸪ᕝཱྀᜨᏊ㸧 ····ఀ⸨ ೺㸦➉୰ၨ୕㸪⏿୰ᆂኴ㸧 ················································································ఀ⸨ ೺㸦ཱྀ▼ ⱱ㸪ಖỤ࠿࡞Ꮚ㸪㉺ᬛᗣᾈ㸪ຍ⸨༤ྖ㸧 ················································ᒾᇼ ㇏㸦㰺⸨೺୍㸪ࢣ࢖ࣛࣥࢹ࢕ࢩࣗ ࣁ࣑ࢻࣞࢨ㸧 ···················································኱ᒣ ⪷㸦ᑎ㛛኱Ẏ㸪㜿㒊ᆂ᫭㸪Taufik Slaiman㸪ᮤ ᮾ㍤㸪⚟ᮏᾈ❶㸪௚㸧 ····················
ᒸ⏣໷ྐ㸦ᑎᓥၨኴ㸪ఀᾏ⏣ⓡྐ㸪ఀ⸨ᩥ༤㸪⚟⃝ ▐㸪௒஭࿴ᏹ㸧 ·······························
ᑠᕝ༤அ㸦ఀ⸨ 㝯㸪୰ᮧᫀ㐨㸧 ················································································Ἀ ⌮Ꮚ㸦ஂಖ⏣ᣅᚿ㸪ྍ▱⨾బᏊ㸧 ··········································································
ᑠ㧗ṇႹ ················································································································㒌 ᮾ₶㸦ᚨᕝ┤Ꮚ㸪㯮⏣ᩥṊ㸪∵ᒣ๢࿃㸪ᐑᓮṇஓ㸧··················································
Ἑྜ᐀ྖ ················································································································㈡⃝㡰୍ ················································································································
໭ᮧᆂ୍㸦㟷ᰠᣅஓ㸪ᒣᙧ㱟௓㸧···············································································಴ᮏ ᆂ㸦ᮌᮧ ῟㸪బࠎᮌὒᖹ㸧···············································································ᚋ⸨ ᫴㸦ᕝ㑓ဴஓ㸪⸀⏣ ᣙ㸧··················································································
బ᐀❶ᘯ㸦ᒾᕝ ㍤㸪ྂᕝ኱㈗㸪㟷ᮌຬ☻㸧 ·································································బ⸨ ⱱ㸦㧗ᶫṇᬕ㸪Ώ㑓Ꮥᏹ㸪᐀ീ฼ᙪ㸪⚟஭ṇ᫂㸧··················································బ⸨ ⱱ㸦㧗ᶫṇᬕ㸪Ώ㑓Ꮥᏹ㸪᐀ീ฼ᙪ㸪⚟஭ṇ᫂㸧··················································ᔱ ⱥᚿ㸦ΎỈኴ㑻㸪᳃஭㞝㣕㸪ᮏỤᖿᮁ㸪㟷㔝῟ஓ㸪⳻⏣ Ꮫ㸧 ····································ᔱ ⱥᚿ㸦᰿ᓊ⚽ୡ㸪኱㛛 ඃ㸪㞵ᕝὒ❶㸪ᯇᮏ୓᭷㸧 ···················································ᔱ ⱥᚿ㸦⸨ᮏᆂ୍㑻㸪㇂ ὒᾏ㸧···············································································ᔱ ⱥᚿ㸦㇂ ὒᾏ㸪኱㛛 ඃ㸧 ···················································································ᔱ ⱥᚿ㸦᰿ᓊ⚽ୡ㸪⸨ᮏᆂ୍㑻㸪኱㛛 ඃ㸪㇂ ὒᾏ㸪㞵ᕝὒ❶㸪௚㸧 ····························ᔱ ⱥᚿ㸦ሐ ㄔྖ㸪ⰾ㈡⮧⣖㸧··················································································ᔱ ⱥᚿ㸦᰿ᓊ⚽ୡ㸪⸨ᮏᆂ୍㑻㸪ᱵᮧ ᝆ㸧 ·······························································ᔱ ⱥᚿ㸦ሐ ㄔྖ㸪ⰾ㈡⮧⣖㸪๓ᕝ཭ᶞ㸧 ··································································ᔱ⏣ ᚭ㸦໭ᕝᖾᶞ㸪ᮏỤᖿᮁ㸧 ················································································
ΎỈᩄᩥ㸦ᕝ⏿భ඾㸪୕ዲᘓṇ㸧···············································································
ୗᮧ⿱ྖ㸦ୖ⏣㝧Ꮚ㸪▼⏣἞⾜㸪୰す ຌ㸪㰻⸨⣖⏨㸪ᒣᓮ᭸ᮁ㸪௚㸧 ····························
ୗᮧ⿱ྖ㸦㰻⸨⣖⏨㸪ᩪ⸨ 㐍㸧 ················································································

䠉㼕㼢䠉

20
32
46
52
61
63
69
179
181
183
194
196
151
22
48
79
81
44
131
121
141
90
229
40
221
167
223
215
240
209
127
207
97
100
102
111
145
147
155
165
113
143
106
109

ୗᮧ⿱ྖ㸦ோᑿ཭⨾㸪㰻⸨⣖⏨㸪୰す ຌ㸪ᑠす฼ᖾ㸪ᆏཱྀຌ἞㸪௚㸧 ····························
ᮡᒣ⪔୍ᮁ㸦Ᏻ⸨⣫ᇶ㸧 ···························································································
㖹㇂ㄔྖ ················································································································
㧗ᮌு἞ ················································································································㧗ᶫ Ꮥ㸦㔠᳃ṇྐ㸪኱㐨ຬဢ㸪ᮾ ㈗ᘯ㸪㔠㇂ᓫྐ㸪Ṋ⏣ᑑே㸪኱ஂಖᐶ㸧 ·····················
㧗ᶫᛅᖾ㸦ᮤ ඙⾮㸧 ·······························································································
㧗ᶫ ಇ··················································································································⏣ཱྀ⚽அ㸦ᮏ㒓⣲⾜㸪ᮾ㔝 ᔞ㸪ᬀ㛫ṇ἞㸪షᅭ ⣧㸧 ···················································⏣୰ ᬛ㸦⁪⏣ 㞙㸧 ·································································································
ᆤ஭ఙᖾ㸦Ṋ⸨኱㈗㸪ྜྷ⏣ၨ♸㸪ᆏᮏࡲ࠸㸪Ⱚᑿᑗྐ㸪Ụ⸨ᡂ୍ᮁ㸪௚㸧 ························
୰ᓥᫎ⮳㸦ஂಖ⏣ᣅᚿ㸪୕ዲᘓṇ㸪ᑠᵳᓧྖ㸪ᑎᓮᗣඣ㸪ඵ௦ ᑦ㸧 ·······························
㔝ࠎᮧᣅ㸦㟷㔝 ග㸪ᑎ㛛኱Ẏ㸪㜿㒊ᆂ᫭㸪Taufik Slaiman㸪ᮤ ᮾ㍤㸪௚㸧 ····················す⃝ᩄ㞝㸦ᴮᮏಇ἞㸧 ······························································································す⃝ᩄ㞝㸦㈡⃝㡰୍㸪ᴮᮏಇ἞㸧···············································································す⃝ᩄ㞝㸦໭ᲄṇᘯ㸪໭ᮧ⚈அ㸪㔠ᇽ๢ྐ㑻㸪㈆ᮏᑗኴ㸧 ·············································す⃝ᩄ㞝㸦㈡⃝㡰୍㸪ྜྷ಴ᘯ㧗㸧···············································································
஧ᮧᑦኵ㸦㕥ᮌṇஓ㸪ᒣ᰿ ᩗ㸧 ················································································
஧ᮧᑦኵ㸦㈡⃝㡰୍㸪ᴮᮏಇ἞㸪ᒣୗ೺ᚿ㸪ἑ⏣ᜤර㸧 ················································
஧ᮧᑦኵ㸦∾⏣ගṇ㸪ྜྷ⏣ᚁ஧㸪ᒣᮏ Ṋ㸪୰ᮧ┤⣖㸧··················································
஧ᮧᑦኵ㸦ᒣ᰿ ᩗ㸪㕥ᮌṇஓ㸧 ················································································
஧ᮧᑦኵ㸦ྜྷ⏣ᚁ஧㸪∾⏣ගṇ㸪୰ᮧ┤⣖㸪Ṋ▼⫱ᾏ㸧 ················································὾ᮏ ⁠㸦ཱྀ▼ ⱱ㸪㉺ᬛᗣᾈ㸧··················································································὾ᮏ ⁠㸦⸨஭ၨ௓㸪୕ᮌ ⫕㸪ᒸᯘᕼ౫㸪㧗㛫Ⰻᶞ㸧 ···················································὾ᮏ ⁠㸦㕥ᮌಇஅ㸪Adrien Lemal㸪ᑠ⃝Ᏹᚿ㸧··························································὾ᮏ ⁠㸦ຍ⸨⿱அ㸪ᑠụಇ㍜㸧 ················································································
㛗㇂ᕝ㐍 ················································································································ᖹᯘ Ẏ㸦୰ᓥṇ຾㸪ᅄඖ࿴ᙪ㸪ฟཱྀ ⪽㸪ຍ⸨ 㡰㸪ୖ⏣㝧Ꮚ㸪ᒣᓮ᭸ᮁ㸧 ······················⚟⏣⣫኱㸦㔝ࠎᮧᣅ㸧 ······························································································
⸨ᮏṇᶞ㸦ᑠᕝ໷ᩍ㸪ΎỈ೺▮㸧···············································································ᫍ㔝 ೺㸦኱ᕌஂᚿ㸪Ỉὶ᫭୍㸪ⱝᯘᖾᏊ㸪ᒣᮏග⏕㸧··················································∾㔝ዲ࿴㸦ᚨᕝ┤Ꮚ㸪▼ᕝᩗᥖ㸪ୖ⏣Ⰻ✄㸪ᑠụᑑᐉ㸪᫓᪥ὒᖹ㸧 ·································∾㔝ዲ࿴㸦ྜྷ⏣᠇ྖ㸪▼ᕝᩗᥖ㸪∾ᮏ༟ஓ㸪⟍⏤㔛Ꮚ㸧 ················································∾㔝ዲ࿴㸦∾ᮏ༟ஓ㸧 ······························································································∾㔝ዲ࿴㸦㔠ᓮ㞞༤㸪ᓊ ♸ᕼ㸪໭ᓮៅဢ㸧 ·······························································
ᯇᾆ୍ဴ㸦㯮ἑせ἞㸪ᒣ⏣⚽ᚿ㸪∾⏣ගṇ㸪୰ᮧ┤ᕫ㸪ᙇ ఍᮶㸪㣤㔝 ῟㸧 ·····················
ᯇᾆ୍ဴ㸦㤳⸨ᬛኴ㑻㸪ᒣᮏ Ṋ㸪㯮ἑせ἞㸪ᒣ⏣⚽ᚿ㸪∾⏣ගṇ㸪௚㸧 ·························
ᯇᾆ୍㞝 ················································································································
ᯇᑿ⿱୍㸦㯮⁪༟ྖ㸪ఫ㝯 ༤㸧 ················································································
ᯇᑿ⿱୍㸦ụ⏣཭᫂㸪㊧㒊 㝯㸧 ················································································
ᯇᑿ⿱୍㸦ᮧୖ᱇୍㸪ᯇ஭ຬᶞ㸧···············································································
ᯇᑿ⿱୍㸦⸨⏣┤⾜㸪ఀ⸨ṇ຾㸪ᐑᓥᩗ᫂㸧 ·······························································
ᯇᑿ⿱୍㸦ᮧୖ᱇୍㸪㧗ᶫ⯟ᖹ㸧···············································································
ᯇᑿ⿱୍㸦⁁ῲὈᐶ㸪㜿㒊ᾈᖾ㸪༡㒊ኴ௓㸪ᯇᒣ᪂࿃㸪ᒸ㒊ኊᚿ㸪௚㸧 ···························
ᯇᑿ⿱୍㸦ᮧୖ᱇୍㸪ᒣ⏣ 㑈㸧 ················································································
ᯇᑿ⿱୍㸦⁁ῲὈᐶ㸪༡㒊ኴ௓㸪⳻⏣ Ꮫ㸪Ᏻ⏣❶ᝅ㸪ඵⓒᐶᶞ㸧···································
ᯇᑿ⿱୍㸦ᮧୖ᱇୍㸪ᯘ ㅬྖ㸧 ················································································

䠉㼢䠉

162
157
225
198
170
136
237
42
190
227
159
115
18
25
76
85
10
12
27
29
74
56
117
133
202
153
104
232
123
139
50
54
67
87
30
200
235
3
65
168
173
177
185
192
203
205

ᯇᒣ᪂࿃ ················································································································⁁ῲὈᐶ㸦ᒣᮏጲᏊ㸧 ······························································································
ᐑ㊰ᖾ஧ ················································································································ᮧୖ ဴ㸦ᮧᒣගᏹ㸪ఀ⸨ 㟹㸪ụ⏣཭᫂㸪ᆏ஭⋹ኴ㑻㸪㧗▼Ṋஂ㸪௚㸧 ···························ᮧୖ ဴ㸦⏣㎶Ᏻᛅ㸪ᮡᾆṇᙪ㸪Ⳣཎ⍛᫂㸪኱Ụᬕኳ㸪᳜ᮧ♸ኴ㸧···································ᮧୖ ဴ㸦ᮡᒣኴ୍㸪ᚋ⸨ 㥴㸪ᑠᯘಖ㮚㸧 ··································································ᮧୖ ဴ㸦㒌 ᮾ₶㸪ᒸᯘᕼ౫㸪ෆ⸨ᘯኈ㸧 ··································································ᮧୖ ဴ㸦∾㔝ዲ࿴㸪㒌 ᮾ₶㸪኱ᖹၨ௓㸧 ··································································
Ᏺ⏣ඞᙲ㸦࿋ᒇⱥᶞ㸧 ······························································································
ᒣᮏ୍⮧㸦ఀ⸨ 㟹㸪㧗▼Ṋஂ㸪ᮧᒣගᏹ㸪ᆏ஭⋹ኴ㑻㸪୰㔝 ᙪ㸪௚㸧 ···························ྜྷ⏣ ㄔ㸦᳜⏣ಟ୍㸪ᑠᑎṇᩄ㸪㧗ᶫᨻᾈ㸪Ώ㑓Ꮥᏹ㸧··················································ྜྷ⏣ ㄔ㸦ᮌᮧಇဢ㸪㧗ᶫᨻᾈ㸪㛗⏣ ᩔ㸪ᚋ⸨බᡂ㸧 ···················································ྜྷ⏣ ㄔ㸦㧗ᶫᨻᾈ㸧 ·······························································································⡿ᮏᾈ୍㸦ᒣᓮ⿱ྖ㸪ᕷẟඃᬛ㸪ᾆ ඃ௓㸧 ·································································

175
59
212
6
34
37
72
83
188
14
93
119
149
218

--------------------------------------------------------------------------------------------------------------࠙฼⏝ᴫせࠚ
1. ࢩࢫࢸ࣒ᴫせ ····································································································
2. 㞀ᐖⓎ⏕≧ἣ ····································································································
3. 㐠⏝ᴫせ ··········································································································
4. ࣮ࣘࢨⓏ㘓≧ἣ ·································································································
5. ࣮ࣘࢨ༊ศู฼⏝≧ἣ ························································································
6. ศ㔝ู฼⏝๭ྜ ·································································································

ͤᖺ㛫฼⏝㔞ࡣ஦ᴗࢥ࣮ࢻ⏦ㄳู࡟ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱά⏝ㄢࡀ㞟ィࡋࡓ⤖ᯝ㸬௚࡟㸪◊✲ࡢᛶ㉁ୖ㸪㠀බ㛤ࡢࡶࡢࡀ 5 ௳㸬

䠉㼢㼕䠉

245
247
247
250
250
251

HPC@JAXA2015

ᡂᯝᴫせHPC@JAXA2015㻌㻝㻚㻌 ᅽ⦰ᛶ஧┦ὶ䛾㧗⢭ᗘᩘ್◊✲㻌
Adbanced Numerical Simulation of Compressible Two-phase Flow with High Accuracy and Resolution㻌 ஦ᴗᙧែ
⛉◊㈝㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㯮⁪༟ྖ(kurotaki@chofu.jaxa.jp)
బ㈡኱Ꮫ኱Ꮫ㝔 ᕤᏛ⣔◊✲⛉ඛ➃⼥ྜᕤᏛᑓᨷ㸪ఫ 㝯༤(sumi@me.saga-u.ac.jp)㻌 ஦ᴗࡢ┠ⓗ⯟✵Ᏹᐂศ㔝࡟࠾ࡅࡿ㸪ᐃள㡢㏿࠿ࡽᴟ㉸㡢㏿ὶ࡟⮳ࡿ㧗⢭ᗘゎᯒࢆྍ⬟࡜ࡍࡿࡓࡵࡢㅖᢏ⾡ࡢ◊✲ࢆ⾜࠺࡜࡜ࡶ࡟㸪≉࡟⯟✵ᶵ࢚ࣥࢪࣥࡸࢹ࢕࣮ࢮ࢚ࣝࣥࢪࣥࢆ᝿ᐃࡋࡓᅽ⦰ᛶΰ┦ὶࡢ㧗⢭ᗘゎᯒᢏ⾡࡬ࡢᛂ⏝ࢆ┠ᣦࡍ㸬㻌 ஦ᴗࡢ┠ᶆᚑ᮶◊✲࡛㛤Ⓨࡋࡓ㸪ᴟࡵ࡚ሀ∼࡞ WCS(Weighted compact scheme)ࢥࣥࣃࢡࢺࢫ࣮࣒࢟ࡢᛂ⏝࡜ࡋ࡚㸪௒ᚋⓎᒎࡍࡿ࡜ண᝿ࡉࢀࡿ࣐ࣝࢳࣇ࢕ࢪࢵࢡࢫࡢศ㔝ࡢ 1 ࡘ࡛ࡿ㸪㧗⢭ᗘᅽ⦰ᛶΰ┦ὶゎᯒἲࡢ◊✲ࢆ⾜࠸㸪᭱⤊ⓗ࡟ࡣ㸪࢚ࣥࢪࣥ⇞ᩱࡢᚤ⢏໬࡬ࡢᛂ⏝➼ࡢᐇ⏝໬ࢆ┠ᣦࡍ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㧗⢭ᗘゎᯒἲࡢ◊✲࡟ࡣ㸪኱ᐜ㔞㸪㧗㏿࡞ィ⟬ᶵࡀᚲせ࡛࠶ࡾ㸪௒ᚋ኱つᶍ࡞ゎᯒ࡟Ⓨᒎࡉࡏࡿࡇ࡜
ࢆ⪃࠼ࡿ࡜㸪ࡑࡢᙺ๭ࡣࡲࡍࡲࡍ㔜せ࡜࡞ࡿ࡜⪃࠼ࡽࢀࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝx ⏺㠃ࢆΰྜẼయ࡜ࡋ࡚ᢅ࠺diffuse interface ࢔ࣉ࣮ࣟࢳ࡜ࣞ࣋ࣝࢭࢵࢺἲࢆ⏝࠸ࡓsharp interface ࢔ࣉ࣮ࣟࢳࡢ୧⪅ࢆ୪⾜ࡋ࡚㛤Ⓨࡋ㸪࢔ࣝࢦࣜࢬ࣒ࡢጇᙜᛶࢆ☜ㄆࡋࡓ㸬x diffuse interface ࢔ࣉ࣮ࣟࢳ࡛ࡣ㸪⏺㠃ࡢ⇕ຊᏛⓗࣔࢹࣝࡢ≉ᛶࢆ᫂ࡽ࠿࡟ࡋ㸪5᪉⛬ᘧࣔࢹࣝ࠿ࡽ6᪉⛬ᘧࣔࢹࣝ࡬ࡢᣑᙇࢆ⾜ࡗࡓ㸬x sharp interface ࢔ࣉ࣮ࣟࢳ࡛ࡣ㸪㉁㔞ಖᏑᛶࢆ‶㊊ࡋ࡞࠸࡜࠸࠺ᇶᮏⓗ࡞ḞⅬࢆಟṇࡍࡿ᪂ᡭἲࢆ㛤
Ⓨࡋࡓ㸬

䠉㻟䠉

HPC@JAXA2015
㻌-3(a) t=1.7×10 sec㻌-3(b) t=3.4×10 sec㻌-3(c) t=5.1×10 sec㻌-3(d) t=6.8×10 sec㻌

x

x

㻌㻌

ᅗ1 ࣐ࢵࣁ6ࡢ⾪ᧁἼ㏻㐣ᚋࡢ✵Ẽ̿Ỉᰕࡢࢩ࣮ࣗࣜࣞࣥ⤖ᯝ(3001751 ᱁ᏊⅬ).
㸸 Numerical density schlieren images of Mach 6.0 air-water shock-cylinderinteraction problem(3001751 grid ponts).

㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
2᫬㛫
ࢣ࣮ࢫᩘ㸸
3ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢫࣞࢵࢺࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) T. Sumi and T. Kurotaki, “A new central compact finite difference formula for improving robustness
in weighted compact nonlinear schemes”, Computers & Fluids , Vol.123, (2015), pp.162-182.

䠉㻠䠉HPC@JAXA2015ཱྀ㢌Ⓨ⾲2) 㯮⁪㸪ఫ㸪͆ Sharp interface model ࢆ⏝࠸ࡓ㧗㏿ὶᅽ⦰ᛶΰ┦ὶゎᯒࡢ㉁㔞ಖᏑᛶࡢྥୖ࡟ࡘ࠸࡚㸪͇➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘, (2015), B02-1.
3) ఫ㸪㯮⁪㸪͆ᅽ⦰ᛶΰ┦ὶ࡟ᑐࡍࡿᣑᩓ⏺㠃ࣔࢹࣝࡢẚ㍑᳨ウ㸪͇➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪(2015) 㸪 B02-3.
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h] 1,493.30-

SORA-PP

37,960.27

㻌
㻌

㻌

䠉㻡䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻞㻚㻌 䜶䝁䜴䜱䞁䜾ᢏ⾡䛾◊✲㛤Ⓨ⎔ቃ⯟✵ᶵ䝅䝇䝔䝮◊✲㻌䠖ᶵయ㻙䜶䞁䝆䞁⤫ྜప㦁㡢໬ᢏ⾡㻌
Environment Conscious Aircraft Systems Research in Eco-wing Technology
䠖Airframe-Engine Noise Reduction Technology㻌㻌㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦⯟✵ᢏ⾡㒊㛛ࣁࣈ஦ᴗ㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧୖ ဴ(murakami.akira@ jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧᒣගᏹ(murayama.mitsuhiro@jaxa.jp)ఀ⸨ 㟹(ito.yasushi@jaxa.jp)ụ⏣཭᫂(ikedat@chofu.jaxa.jp)ᆏ஭⋹ኴ㑻(sakai.ryotaro@jaxa.jp)㧗▼Ṋஂ(takaishi.takehisa@jaxa.jp)㯮⏣ᩥṊ(fkuroda@chofu.jaxa.jp)኱ᖹၨ௓(ohirak@chofu.jaxa.jp)∾ᮏ༟ஓ(makitaku@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 FQUROH ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪㞵ᐑ࿴ஂ(amemy@chofu.jaxa.jp)⏣୰೺ኴ㑻(kentaro@chofu.jaxa.jp)ᖹ஭ ஽(thirai@chofu.jaxa.jp)୰㔝 ᙪ(gen@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶⯟✵ᶵ࡟㐺⏝ࡋ㸪ඃ఩࡞⎔ቃᛶ⬟ࢆᐇ⌧ࡍࡿࡓࡵࡢせ⣲ᢏ⾡㛤Ⓨཬࡧࡑࡢࢩࢫࢸ᳨࣒ドࢆ㐍ࡵࡿ࡜࡜ࡶ࡟㸪᪂ᙧែ⯟✵ᶵࡢタィᇶ┙ࢆᩚഛࡍࡿࡇ࡜࡛ᑗ᮶࡟Ώࡿᅜෆ⯟✵⏘ᴗࡢ➇தຊᙉ໬࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
Tube & wing ᙧែ࠾ࡼࡧ unconventional ᶵయᙧែ࡟ᑐࡋ࡚ᶵయࡢ✵ຊ㸪ᵓ㐀࡜ࡢࢺ࣮ࣞࢻࢫࢱࢹ࢕ࡀ
ྍ⬟࡞࡛ࣞ࣋ࣝ㸪ᶵయ㦁㡢㸪࢚ࣥࢪࣥ-ᶵయᖸ΅/㦁㡢㐽ⶸຠᯝࢆホ౯ࡍࡿゎᯒᢏ⾡ࢆసࡿࡇ࡜࡛㸪2030ᖺ௦๓༙࡟㛤Ⓨ㛤ጞ᝿ᐃࡢ㸪50%ࡢ⇞ᩱᾘ㈝㔞๐ῶ㸪ICAO Chapter 4 -30dB ௨ୖࡢ㦁㡢పῶࢆ┠ᶆ࡜ࡍࡿ᪂ᙧែ⯟✵ᶵࡢタィᇶ┙ࢆᚓࡿ㸬䠉㻢䠉

HPC@JAXA2015㻌㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
࢚ࣥࢪࣥ-ᶵయ㦁㡢㸪ᖸ΅/㐽ⶸຠᯝண ࡟㛵ࡋ࡚⡆᫆ⓗ࡞ゎᯒ࡛ࡣㄗᕪࡀ኱ࡁࡃ㸪ᶵయᴫᛕタィࡢࢺ࣮ࣞࢻࢫࢱࢹ࢕࡟ࡣ㝈⏺ࡀ࠶ࡿ㸬ࡑࡢࡓࡵ㸪௒ᚋࡢィ⟬ᶵ⬟ຊࡢྥୖ࡟ྜࢃࡏࡓ୰࣭㧗fidelityࡢண ᢏ⾡ࡀᚲせ࡛࠶ࡾ㸪ࢫࣃࢥࣥࢆ฼⏝ࡋ࡚LES࣮࣋ࢫࡢゎᯒᢏ⾡ࡸ㧗ᗘ࡞㦁㡢ఏ᧛ゎᯒᢏ⾡ࢆ㛤Ⓨࡋ㸪ᶵయ඲యࢆྵࡵࡓࡼࡾ㧗࠸fidelityࡢゎᯒᢏ⾡ࢆ☜❧ࡍࡿᚲせࡀ࠶ࡿ㻌 ௒ᖺᗘࡢᡂᯝ
CFD࣮࣡ࢡࢩࣙࢵࣉ࡟࠾ࡅࡿ᳨ドၥ㢟࡞࡝ࢆ⏝࠸㸪㧗ᥭຊ⿦⨨ࡸ⬮࠿ࡽⓎ⏕ࡍࡿᶵయ㦁㡢ண ᢏ⾡ࡸᶵయ✵ຊ≉ᛶண ᢏ⾡ࡢ⢭ᗘ᳨ド࡜ᢏ⾡ᡂ⇍ᗘྥୖࢆ⾜ࡗࡓ㸬୺࡞ᡂᯝ౛ࢆ௨ୗ࡟࠶ࡆࡿ㸬ձ AIAAᶵయ㦁㡢᳨ド࣮࣡ࢡࢩࣙࢵࣉ㸦BANC㸧ࡢࢫࣛࢵࢺ㦁㡢᳨ドၥ㢟 (JAXA࠿ࡽࡶ㧗ရ㉁࡞㢼Ὕ
ヨ㦂᳨ドࢹ࣮ࢱࡸィ⟬᱁Ꮚࢹ࣮ࢱࢆᥦ౪) ࡢゎᯒ࡟࠾࠸࡚㸪ィ⟬ᡭἲ㸦஘ὶࣔࢹࣝ໬㸪ィ⟬ࢫ࣮࣒࢟㸧ࡸ᱁Ꮚᐦᗘ㸪ࢫࣃࣥ᪉ྥィ⟬㡿ᇦ⠊ᅖ࡟ࡼࡿィ⟬⤖ᯝ࡟୚࠼ࡿᙳ㡪ࢆ♧ࡋ㸪ࢫࣛࢵࢺ㦁㡢ゎᯒ⢭ᗘྥୖ࡟ຠᯝⓗ࡞ゎᯒࣃ࣓࣮ࣛࢱࢆ⤠ࡾ㎸ࢇࡔ㸬ղ CFD࣮࣡ࢡࢩࣙࢵࣉ࡟࠾࠸࡚㸪㛤Ⓨࢆ㐍ࡵ࡚࠸ࡿ㠀ᵓ㐀᱁Ꮚ⏕ᡂࢯࣇࢺ࢙࢘࢔MEGG3Dࢆ⏝࠸࡚సᡂࡋࡓィ⟬᱁Ꮚࢆᥦ౪ࡍࡿ࡜ඹ࡟㸪JAXA in-houseࢯࣝࣂ࣮ࢆ⏝࠸࡚ィ⟬⢭ᗘホ౯ࢆ⾜࠸㸪ィ⟬᱁Ꮚ⏕ᡂᢏ⾡࡜ᩘ್ィ⟬ἲࡢᢏ⾡ᡂ⇍ᗘࢆྥୖࡉࡏࡓ㸬ࡲࡓ㸪CFD᳨ド⏝㢼Ὕヨ㦂ࢹ࣮ࢱ࡟࠾࠸࡚㢼Ὕᶍᆺᨭᣢ⿦⨨ࢆᶍᨃࡋࡓゎᯒࢆ⾜࠸㸪ᨭᣢ⿦⨨ࡢᙳ㡪ࢆ♧ࡋࡓゎᯒ⤖ᯝࢆ࣮࣡ࢡࢩࣙࢵࣉ࡬ᥦ౪ࡋ㸪ィ⟬/㢼Ὕ㛫ࡢẚ㍑⢭ᗘࢆྥୖࡉࡏࡓ㸬

㻌

㻌

㻌㻌

㻌

ᅗ1 ࢫࣛࢵࢺ㦁㡢ゎᯒ᫬ࡢィ⟬᱁Ꮚᐦᗘࡢᙳ㡪㸬⣽࠿࠸ィ⟬᱁ᏊF-DDES࡜ẚ㍑ࡋ㸪⢒࠸ィ⟬᱁Ꮚ
M-DDES࡛ࡣ㸪ࢫࣛࢵࢺ㦁㡢ண ࡟࠾࠸࡚㔜せ࡞ࢫࣛࢵࢺ࢝ࢫࣉ㒊ศ࠿ࡽࡢࡣࡃ㞳ࡏࢇ᩿ᒙࡢࢣࣝࣅ࣭࣒ࣥ࣊ࣝ࣍ࣝࢶ୙ᏳᐃᛶࡢⓎ㐩ࡀ㐜ࢀ࡚㸪ࣆ࣮ࢡࣞ࣋ࣝࡀ㐣኱ホ౯ࡉࢀࡿ㸬㸦ᕥᅗ㸸 ᗘẚ㍑㸪ྑᅗ㸸୺⩼๓⦕ୗ㠃ഃ⾲㠃ᅽຊኚືẚ㍑㸧
㸸Comparison of grid dependency (M-DDES : Medium grid, F-DDES: Fine grid). Left:
Instantaneous spanwise vorticity contours around slat, Right : Surface pressure spectra ata lower surface location near the leading-edge of main wing.
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
800᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
660ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA䠉㻣䠉㻌HPC@JAXA2015

ᅗ2 NASA CRMᶍᆺᙧ≧⾲㠃࡛ࡢᅽຊಀᩘศᕸ࡜㸪⩼⬗⤖ྜ㒊࡟࠾ࡅࡿ๤㞳ࡢ኱ࡁࡉࡢ㐪࠸ (୍ᵝὶMachᩘ0.847, Reynoldsᩘ2.26M, ㏄ゅ4.65°): (a) ᨭᣢ⿦⨨࡞ࡋ; (b) ᨭᣢ⿦⨨࠶ࡾ (๤㞳ࡀᑠࡉࡃ࡞ࡾ㸪㢼Ὕヨ㦂⤖ᯝ࡜ࡶ୍⮴)㸸Difference in the size of flow separation at the wing-body junction of the NASA Common
Research Model (a) without and (b) with a support system (surface color coded bycoefficient of pressure, freestream Mach number of 0.847, Reynolds number of 2.26M,
angle of attach of 4.65°) : the model with the support system predicted smaller flow
separation, which agreed well with experiment.

࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
4.2᫬㛫
ࢣ࣮ࢫᩘ㸸
14ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
144ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA䠉㻤䠉HPC@JAXA2015㻌㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) ᆏ஭⋹ኴ㑻㸪▼⏣ ᓫ㸪ఀ⸨ 㟹㸪ᮧᒣගᏹ㸪ᒣᮏ୍⮧㸪ࠕᇙࡵ㎸ࡳቃ⏺ἲࢆ⏝࠸ࡓ㠀ᅽ⦰ᛶὶయゎᯒ࡟࠾ࡅࡿ⛣ὶ㡯㞳ᩓ໬ᡭἲࡢ᳨ウࠖ㸪࡞ࡀࢀ㸪➨35ᕳ2ྕ (2016ᖺ4᭶25᪥ฟ∧ணᐃ)
ཱྀ㢌Ⓨ⾲2) Terracol, M., Manoha, E., Murayama, M., Yamamoto, K., Amemiya, K., and Tanaka, K.
“Aeroacoustic Calculations of the 30P30N High-lift Airfoil using Hybrid RANS/LES methods:
Modeling and Grid Resolution Effects,” AIAA 2015-3132, 2015.
3) ఀ⸨ 㟹㸪ᮧᒣගᏹ㸪ᒣᮏ୍⮧㸪⏣୰೺ኴ㑻㸪
ࠕTAS࣭MEGG3D᱁Ꮚ࡟ࡼࡿゎᯒࠖ➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪2015.
4) ఀ⸨ 㟹㸪ᮧᒣගᏹ㸪ᒣᮏ୍⮧㸪⏣୰೺ኴ㑻㸪
ࠕTAS࡜MEGG3D᱁Ꮚ࡟ࡼࡿNASA CRMゎᯒࠖ➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪 2015.
5) ᆏ஭⋹ኴ㑻㸪▼⏣ ᓫ㸪ఀ⸨ 㟹㸪ᮧᒣගᏹ㸪ᒣᮏ୍⮧㸪ࠕᇙࡵ㎸ࡳቃ⏺ἲࢆ⏝࠸ࡓ㠀ᅽ⦰ᛶὶయゎᯒ࡟࠾ࡅࡿ⛣ὶ㡯㞳ᩓ໬ᡭἲࡢ᳨ウࠖ➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪 2015.

ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,095,751.55

SORA-PP

15,615.71㻌䠉㻥䠉SORA-LM

5,288.10

SORA-TPPHPC@JAXA2015㻌㻟㻚㻌 䜶䝻䞊䝆䝵䞁䛻䛛䛛䜟䜛䝅䝭䝳䝺䞊䝅䝵䞁㻌
Numerical Simulation on Erosion㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪஧ᮧᑦኵ(futamura.hisao@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪㕥ᮌṇஓ(suzuki.masaya@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᒣ᰿ ᩗ(yamane.takashi@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᚤ⢏Ꮚ྾㎸ࡳ࡟ᑐࡍࡿ࢚ࣥࢪࣥࡢᏳ඲ᇶ‽ࡀ FAR ➼࡟ᐃࡵࡽࢀ࡚࠾ࡾ㸪⪏✵ド᫂ࡢྲྀᚓ㸪Ᏻ඲࡞㐠⯟㸪࣓ࣥࢸࢼࣥࢫࢥࢫࢺ๐ῶࡢࡓࡵ㸪࢚࣮ࣟࢪࣙࣥ࡟ᑐࡍࡿᩘ್ゎᯒᢏ⾡ࡀồࡵࡽࢀ࡚࠸ࡿ㸬㻌 ஦ᴗࡢ┠ᶆࡇࢀࡲ࡛⊂⮬࡟㛤Ⓨࡋ࡚ࡁࡓ࢚࣮ࣟࢪࣙࣥゎᯒᡭἲࢆ JAXA ࡛㛤Ⓨࡋ࡚࠸ࡿ UPACS ࡟⤌ࡳ㎸ࡴࡇ࡜࡛௒ᚋࡢ࢚ࣥࢪࣥ㛤Ⓨ࡟㈨ࡍࡿࢶ࣮ࣝ࡜ࡋ࡚☜❧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
⯟✵ᢏ⾡㒊㛛ࡢ୍⯡◊✲࡜ࡋ࡚⾜ࢃ࡚࠸ࡿࠕᚤ⢏Ꮚ྾㎸ࡳ࡟ᑐࡍࡿ࢚ࣥࢪࣥᏳ඲ᛶホ౯ᢏ⾡ࠖࡢ୍㒊࡜ࡋ࡚㸪࢚࣮ࣟࢪࣙࣥࡢᩘ್ゎᯒ࡟㛵ࢃࡿ◊✲ࢆࢫࣃࢥࣥ࡟ࡼࡾᐇ᪋ࡋࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
࢚࣮ࣟࢪࣙࣥ࡟క࠺ቨ㠃ᙧ≧ኚ໬ࢆ UPACS ࡟㐺ྜࡍࡿᙧ࡛ᐇ⿦ࡋ㸪ᐇ㦂ࢹ࣮ࢱ࠾ࡼࡧ᪤Ꮡࡢゎᯒ࡜ࡢẚ㍑ࢆ⾜ࡗࡓ㸬㧗⢭ᗘ໬࡟ྥࡅ࡚ 2-way ࡟ᑐᛂࢆ᏶஢ࡋࡓ㸬㻌㻌㻌
ᅗ 1 ṇ᪉ᙧ᩿㠃 90°࣋ࣥࢻ࡟࠾ࡅࡿẼὶ࡟ാࡃ⢏Ꮚࡢᢠຊศᕸ
: (ᕥ)࢚࣮ࣟࢪࣙࣥ๓, (ྑ)࢚࣮ࣟࢪࣙࣥᚋ㸸Drag Force contours at Midspan of 90° Bend with square section: (left) Before Erosion, (right) After Erosion䠉㻝㻜䠉㻌

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

160᫬㛫
2ࢣ࣮ࢫ
16ࣉࣟࢭࢫ
16ࢥ࢔
MPI
OpenMP
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) ∾⏣ගṇ㸪໭ᲄṇᘯ㸪໭ᮧ⚈அ㸪ᒣ᰿ ᩗ㸪㈡⃝㡰୍㸪㕥ᮌṇஓ㸪す⃝ᩄ㞝㸸JAXA࡟࠾ࡅࡿ⯟✵࢚ࣥࢪࣥ⏝ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࡢά⏝㸪᪥ᮏ࢞ࢫࢱ࣮ࣅࣥᏛ఍ㄅ㸪➨43ᕳ➨6ྕ㸪(2015-11)㸪pp. 414-421㸬ཱྀ㢌Ⓨ⾲2) ␊㇂ᑛ᫂㸪㕥ᮌṇஓ㸪㈡⃝㡰୍㸪ᒣᮏ ㄔ㸸CFDඹ㏻ᇶ┙ࣉࣟࢢ࣒ࣛUPACSࢆ⏝࠸ࡓࢧࣥࢻ࢚࣮ࣟࢪ
ࣙࣥィ⟬ࡢᏳᐃ໬㸪᪥ᮏᶵᲔᏛ఍2015ᖺᗘᖺḟ኱఍ㅮ₇ㄽᩥ㞟㸪J0520502 (2015-9)㸪pp. 1-5㸬3) 㕥ᮌṇஓ㸪ᒣᮏ ㄔ㸸ᅽ⦰ᶵ⩼ิ࡟࠾ࡅࡿᾮ⁲⾪ᧁ࢚࣮ࣟࢪࣙࣥࡢᩘ್ゎᯒ㸪➨43ᅇ᪥ᮏ࢞ࢫࢱ࣮ࣅࣥ
Ꮫ఍ᐃᮇㅮ₇఍ㅮ₇ㄽᩥ㞟㸪C-15 (2015-9)㸪pp. 265-266㸬ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]477,329.81

SORA-PP

SORA-LM䠉㻝㻝䠉

SORA-TPPHPC@JAXA2015㻌㻠㻚㻌 䜶䞁䝆䞁㦁㡢పῶᢏ⾡䛾◊✲㻌
Noise suppression technology for aircraft jet engines㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦⯟✵ᮏ㒊஦ᴗ㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪஧ᮧᑦኵ(futamura.hisao@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪㈡⃝㡰୍(kazawa.junichi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᴮᮏಇ἞(enomoto.shunji@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᒣୗ೺ᚿᮾி኱Ꮫ኱Ꮫ㝔㻌 ᕤᏛ⣔◊✲⛉ᶵᲔᕤᏛᑓᨷ㸪ἑ⏣ᜤර㻌 ஦ᴗࡢ┠ⓗࢃࡀᅜ⊂⮬ࡢ࢚ࣥࢪࣥప㦁㡢໬ᢏ⾡ࡢ㛤Ⓨ࣭ᐇド㸬㻌 ஦ᴗࡢ┠ᶆప CO2-ప㦁㡢࡟㈉⊩ࡍࡿඛ㐍ᢏ⾡࡟ࡘ࠸࡚㸪ᑗ᮶ࡢ◊✲㛤Ⓨࢆ࣮ࣜࢻ࡛ࡁࡿࡼ࠺࡟㸪ྛᢏ⾡ࡢ㦁㡢ᛶ⬟ࢆホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㦁㡢Ⓨ⏕⌧㇟ࡢ⌮ゎ㸪タィᣦ㔪ࡢᥦ౪㸪タィࡉࢀࡓప㦁㡢ࢹࣂ࢖ࢫࡢホ౯㸪ᐇ㦂⤖ᯝࡢホ౯㸬㻌 ௒ᖺᗘࡢᡂᯝ
◊✲⏝࢚ࣥࢪࣥࡢࣀࢬࣝᙧ≧࡟ᑐࡋ࡚✵ຊᛶ⬟ࡢホ౯ࢆ⾜ࡗࡓ㸬㡢㡪ຍ᣺᫬ࡢࢪ࢙ࢵࢺ㏆ഐሙὶࢀሙゎᯒࢆ⾜࠸๧᩿ᒙࡢኚ໬ࢆ᫂ࡽ࠿ࡋࡓ㸬ࣇ࢓ࣥ㦁㡢࡟㛵ࡋ࡚㸪ࢡࣜ࢔ࣛࣥࢫࢆ᭷ࡍࡿሙྜࡢ㦁㡢࡟ࡘ࠸࡚ホ౯ࢆ⾜ࡗࡓ㸬㻌㻌ᅗ 1 ࢥ࢔ࣀࢬࣝཬࡧࣇ࢓ࣥࣀࢬࣝࡢὶࢀሙゎᯒ
㸸Flow-field analysis of a coaxial fan jet engine nozzle䠉㻝㻞䠉㻌HPC@JAXA2015㻌ᅗ 2 㡢㡪ຍ᣺࡟ࡼࡿࢪ࢙ࢵࢺࡢኚ໬
㸸Excitation of a jet flow with sound࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

72᫬㛫
12ࢣ࣮ࢫ
48ࣉࣟࢭࢫ
6ࢥ࢔
MPI
OpenMP
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) Tatsuya Ishii, Kenichiro Nagai, Hideshi Oinuma, Junichi Kazawa, Shunji Enomoto, and Tsutomu
Oishi,”Preliminary Test of Turbofan Engine for Noise Research”, IGTC2015, 188.
2) Kyohei Sawada, Shunji Enomoto, Hideshi Oinuma, Kenichiro Nagai, Tatsuya Ishii and Shigehiko
Kaneko,”Acoustic excitation for jet noise reduction”, IGTC2015, 235.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

4,717,934.66

662,135.77

䠉㻝㻟䠉SORA-LM

SORA-TPP

28,028.48

HPC@JAXA2015㻌㻡㻚㻌 ᶵయ㦁㡢పῶᢏ⾡䛾㣕⾜ᐇド㻌 㻔㻲㻽㼁㻾㻻㻴㻕㻌 䝥䝻䝆䜵䜽䝖㻌
Flight Demonstration of Quiet Technology to Reduce Noise from High-Lift Configurations (FQUROH) Project㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 FQUROH ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᒣᮏ୍⮧(yamamoto.kazuomi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 FQUROH ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ఀ⸨ 㟹(ito.yasushi@jaxa.jp)㧗▼Ṋஂ(takaishi.takehisa@jaxa.jp)ᮧᒣගᏹ(murayama.mitsuhiro@jaxa.jp)ᆏ஭⋹ኴ㑻(sakai.ryotaro@jaxa.jp)୰㔝 ᙪ(gen@chofu.jaxa.jp)㞵ᐑ࿴ஂ(amemy@chofu.jaxa.jp)⏣୰೺ኴ㑻(kentaro@chofu.jaxa.jp)ᖹ஭ ஽(thirai@chofu.jaxa.jp)▼⏣ ᓫ(ishida.takashi@jaxa.jp)ᕝᓮ㔜ᕤᴗᰴᘧ఍♫㸪☾㇂࿴⚽(isotani_kazuhide@khi.co.jp)ୖ㔝㝧ு(ueno_yosuke@khi.co.jp)㉺ᬛ❶⏕(ochi_a@khi.co.jp)ఫ཭⢭ᐦᕤᴗᰴᘧ఍♫㸪஭ୖ ೺(inoue-ta@spp.co.jp)㻌 ஦ᴗࡢ┠ⓗ⌧ᅾ㸪ᅜ㝿ⓗ࡟ࡶ✵ ࿘㎶ᆅᇦࡢ㦁㡢పῶࡢ࣎ࢺࣝࢿࢵࢡ࡟࡞ࡗ࡚࠸ࡿ㧗ᥭຊ⿦⨨࠾ࡼࡧ㝆╔⿦⨨࡟ᑐࡍࡿప㦁㡢໬ᢏ⾡ࢆ㸪ᑗ᮶ࡢ᪑ᐈᶵ㛤Ⓨ࡞ࡽࡧ࡟⿦ഛရ㛤Ⓨ࡟㐺⏝ྍ⬟࡞ẁ㝵ࡲ࡛ᡂ⇍ᗘࢆ㧗ࡵࡿ㸬ࡇࢀ࡟ࡼࡾ㸪ᅜෆ⯟✵⏘ᴗ⏺࡟࠾ࡅࡿᅜ㝿➇தຊᙉ໬࡟㈉⊩ࡍࡿ࡜࡜ࡶ࡟㸪✵ ࿘㎶ᆅᇦ♫఍࡟࠾ࡅࡿ
㦁㡢⿕ᐖ㸪࢚࢔ࣛ࢖ࣥࡢ㐠⯟ࢥࢫࢺ (╔㝣ᩱ) ࡢ㍍ῶ࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ⯟✵ᶵᶵయ㦁㡢ࡢ୺㡢※࡛࠶ࡿ㧗ᥭຊ⿦⨨࡜㝆╔⿦⨨ࡑࢀࡒࢀ࡟ᑐࡍࡿప㦁㡢໬ᢏ⾡ࢆᐇᶵ࡟㐺⏝ࡋ㸪㣕⾜ヨ㦂࡟ࡼࡾప㦁㡢໬ࡢຠᯝࡀ࠶ࡿࡇ࡜ࢆᐇドࡍࡿࡇ࡜࡟ࡼࡾ㸪ᐇ⏝໬࡟ᚲせ࡞タィᢏ⾡ࢆ⋓ᚓࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࣃࢥࣥࢆ฼⏝ࡋ࡚㸪Reynolds-averaged Navier-Stokes (RANS) ゎᯒ㸪ࡉࡽ࡟Large Eddy Simulation࡞࡝ࡢඛ㐍ⓗ࡞ᩘ್ゎᯒࢆ⏝࠸ࡓప㦁㡢໬タィࢆ⾜࠺ࡇ࡜࡛㸪㢼Ὕヨ㦂ࡢࡳ࡛ࡣᅔ㞴࡞㸪ヲ⣽࡞≀⌮⌧㇟ࡢᢕᥱࢆᇶ♏࡟ࡋࡓタィࢆ⾜࠺ࡇ࡜ࡀྍ⬟࡜࡞ࡿ㸬䠉㻝㻠䠉

HPC@JAXA2015㻌 ௒ᖺᗘࡢᡂᯝ
(1) 2016ᖺᗘ࡟ணᐃࡉࢀ࡚࠸ࡿJAXAࢪ࢙ࢵࢺ㣕⾜ᐇ㦂ᶵࠕ㣕⩧ࠖࢆ⏝࠸ࡓᐇド㣕⾜ヨ㦂࡟ྥࡅ㸪ࣇࣛࢵࣉࡸ୺⬮࡟ప㦁㡢໬ࢹࣂ࢖ࢫࢆ⿦╔ࡋࡓ㝿࡟㣕⾜ᛶ⬟ࡸᶵయᵓ㐀࡟኱ࡁ࡞ᙳ㡪ࢆཬࡰࡉ࡞࠸ࡇ࡜ࢆ
☜ㄆࡋࡓ㸬ࡲࡓ㸪ࣇࣛࢵࣉప㦁㡢໬ࢹࣂ࢖ࢫ᭷↓࡛ࡢ㸪㦁㡢Ⓨ⏕࡟኱ࡁࡃ࠿࠿ࢃࡿࣇࣛࢵࣉ➃ ᙧᡂࡢ㐪࠸࡟ࡘ࠸࡚ࡶ☜ㄆࡋࡓ㸬௒ᖺᗘ࠿ࡽSORA-MAࡀ౑࠼ࡿࡼ࠺࡟࡞ࡗࡓ࠾࠿ࡆ࡛㸪ᐇᶵࢆヲ⣽࡟ᶍᨃࡋࡓ」ᩘࡢᶵయᙧ≧࡟ᑐࡋ㸪᭱኱ᥭຊಀᩘࡀᚓࡽࢀࡿ㏄ゅ௜㏆ࡲ࡛㏄ゅࢆኚ໬ࡉࡏࡓ㝿㸪ࡉࡽ࡟㏄ゅࡣᅛᐃࡋᶓ⁥ࡾゅࢆኚ໬ࡉࡏࡓ㝿ࡢ✵ຊ≉ᛶࡢኚ໬ࢆぢ✚ࡶࡿࡓࡵࡢRANSゎᯒࢆ༑ศ⾜࠺ࡇ࡜ࡀ࡛ࡁࡓ㸬(2) ࠕ㣕⩧ࠖ୺⬮࡛ࡢࣈ࣮ࣞ࢟ᨺ⇕ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜࠸㸪୺⬮ࢹࣂ࢖ࢫ⿦╔ࡀࣈ࣮ࣞ࢟෭༷᫬㛫࡟኱ࡁ࡞ᙳ㡪ࢆཬࡰࡉ࡞࠸ࡇ࡜ࢆ☜ㄆࡋࡓ㸬(3) ࠕ㣕⩧ࠖ㢼Ὕヨ㦂ᶍᆺᨵಟ࡟࠶ࡓࡾ㸪㢼Ὕヨ㦂Reynoldsᩘ࡟࠾࠸࡚㸪ࣇࣛࢵࣉ➃࡛ࡢ㦁㡢Ⓨ⏕㔞࡟ᙳ㡪ࢆཬࡰࡍࣇࣛࢵࣉୖ㠃࡛ࡢ኱๤㞳ࡀ⏕ࡌ࡞࠸ࡼ࠺㸪ணࡵ㢼Ὕᶍᆺ⏝ࣇࣛࢵࣉᨭᣢ㔠ල࿘ࡾ࡛࣎ࣝ
ࢸࢵࢡࢫࢪ࢙ࢿ࣮ࣞࢱࡢ㓄⨨ࢆ᳨ウࡋ㸪㢼Ὕヨ㦂࡟࠾࠸࡚ࡶຠᯝࢆ☜ㄆࡋࡓ㸬(4) ὶయゎᯒࢯࣝࣂ࣮FaSTARࡢヨ⏝ࢆ⾜࠸㸪኱つᶍ㠀ᐃᖖゎᯒࢆ┠ᣦࡍୖ࡛ࡢᨵၿⅬࢆ᫂ࡽ࠿࡟ࡋࡓ㸬㻌㻌㻌
ᅗ1 ࠕ㣕⩧ࠖ⾲㠃ὶ⥺࡜ࣇࣛࢵࣉ࿘ࡾ࡛ࡢ ᗘxᡂศศᕸ (⬮ୗࡆ, ࣇࣛࢵࣉ⯦ゅ35°, ㏄ゅ0°, ᶓ⁥ࡾゅ10°, 㢼㏿175 kt): (a) ࢹࣂ࢖ࢫ࡞ࡋ; (b) ࢹࣂ࢖ࢫ࠶ࡾ
㸸Surface stream lines on “Hisho” and x component of vorticity on cross-flow cross-sections
around the flaps (gear down, flap deflection angle of 35°, angle of attack of 0°, sideslip
angle of 10°, wind speed of 175 kt): (a) without devices; (b) with devices䠉㻝㻡䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
40᫬㛫
ࢣ࣮ࢫᩘ㸸
18ࢣ࣮ࢫ(ᅗ୰ࡢ2ᙧែ࡟ᑐࡋ࡚)ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸216ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MAᅗ2 ࡑࡼ㢼ࡀ࠶ࡿ᮲௳ୗ࡛ࡢࠕ㣕⩧ࠖ୺⬮᩿㠃࡛ࡢ ᗘศᕸ: (a) ୺⬮ࢹࣂ࢖ࢫ࡞ࡋ; (b) ୺⬮ࢹࣂ࢖ࢫ࠶ࡾ
㸸Temperature distributions on a cross-section throughthe “Hisho” main landing gear (MLG) under a breeze
condition (a) without and (b) with an MLG device.

䠉㻝㻢䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10᫬㛫
ࢣ࣮ࢫᩘ㸸
7ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸25ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]19,066,314.10

SORA-PP

898,588.79

䠉㻝㻣䠉SORA-LM

190.51

SORA-TPPHPC@JAXA2015㻌㻢㻚㻌 ྾㡢䝷䜲䝘䞊䛾 㻸㻱㻿 ゎᯒ㻌Large Eddy Simulation of Acoustic panel flow㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪す⃝ᩄ㞝(nishizawa.toshio@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᴮᮏಇ἞(enomoto.shunji@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶ࡢᅜ㝿ඹྠ㛤Ⓨࢆぢᤣ࠼ࡓḟୡ௦㉸㧗ࣂ࢖ࣃࢫẚ࢚ࣥࢪࣥ࡟ࢱ࣮ࢤࢵࢺࢆ⨨ࡁ㸪ࡑࡢ⎔ቃ㐺ྜᛶࡢྥୖࢆ┠ᶆ࡜ࡋ࡚㸪ࢃࡀᅜ࡜ࡋ࡚ᢸᙜᐇ⦼ࡀࡲࡔᑡ࡞ࡃ㸪Ẹ㛫࡛ࡣࣜࢫࢡࡀ㧗࠸せ⣲ᢏ⾡ࢆ㛤Ⓨ࣭ᐇドࡍࡿ㸬ࡶࡗ࡚㸪ḟୡ௦ᅜ㝿ඹྠ㛤Ⓨ࡛ࡢࢃࡀᅜࡢᅜ㝿➇தຊࢆྥୖࡋ㸪ᅜෆ࢚ࣥࢪࣥ⏘ᴗࡢᡂ㛗࣭Ⓨᒎ࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆప CO2-ప㦁㡢࡟㈉⊩ࡍࡿඛ㐍ᢏ⾡࡟ࡘ࠸࡚㸪㦁㡢せ⣲ヨ㦂ࡸ CFD ゎᯒࢆ⾜࠸㸪ᑗ᮶ࡢᐇド࡟㈨ࡍࡿ
ᢏ⾡ࢆ๰ฟࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㦁㡢Ⓨ⏕⌧㇟ࡢ⌮ゎ㸪タィᣦ㔪ࡢᥦ౪㸪タィࡉࢀࡓప㦁㡢ࢹࣂ࢖ࢫࡢホ౯㸪ᐇ㦂⤖ᯝࡢホ౯㸬㻌 ௒ᖺᗘࡢᡂᯝ
྾㡢ࣛ࢖ࢼ࣮࡟㡢Ἴࡀධᑕࡍࡿ⌧㇟ࡢ LES ゎᯒࢆ⾜࠸㸪྾㡢ࣛ࢖ࢼ࣮ࡢ྾㡢⋡ࡢホ౯ᢏ⾡ࢆ㛤Ⓨࡋ
ࡓ㸬

䠉㻝㻤䠉

HPC@JAXA2015㻌㻌
ᅗ 1 㡢Ἴධᑕ࡟ࡼࡾ྾㡢ࣛ࢖ࢼ࣮Ꮝ࡟Ⓨ⏕ࡍࡿ⢏Ꮚ㏿ᗘ㸸Particle velocity of sound absorption panel㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

18᫬㛫
60ࢣ࣮ࢫ
12ࣉࣟࢭࢫ
2ࢥ࢔
MPI
OpenMP
SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]28,222.19

SORA-PP

49,710.11

䠉㻝㻥䠉SORA-LM

SORA-TPP

15,583.15

HPC@JAXA2015㻌㻣㻚㻌 ⯟✵ᶵ㛤Ⓨ䛾㧗㏿໬䜢ᐇ⌧䛩䜛ᇶ┙ᛂ⏝ᢏ⾡䛾◊✲㛤Ⓨ㻌䠄ඹ㏻ᇶ┙✵ຊゎᯒ䝒䞊䝹䠅㻌Research on Applied Fundamental Technology toward Fast Aircraft Development㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦JAXA ◊✲஦ᴗ㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᇶ┙ᛂ⏝ᢏ⾡◊✲ࢳ࣮࣒㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᇶ┙ᛂ⏝ᢏ⾡◊✲ࢳ࣮࣒㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)▼⏣ ᓫ(tishida@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪Ⳣཎ⍛᫂ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪ᒣᮏ㈗ᘯ
ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪ࣁ࣑ࢻࣞࢨ ࢣ࢖ࣛࣥࢹ࢕ࢩࣗ㻌 ஦ᴗࡢ┠ⓗ
National Standard࡜࡞ࡿᇶ┙ᢏ⾡ࡢᛂ⏝㸪ά⏝࡟ࡼࡿ⯟✵ᶵ㛤Ⓨ㧗㏿໬ࢆᐇ⌧ࡍࡿࡓࡵ㸪ᅜෆ⯟✵ᇶ┙ᢏ⾡ࢆ㠉᪂ⓗ࡟㧗࠸ࣞ࣋ࣝ࡬ࢫࢸࢵࣉ࢔ࢵࣉࡋࡘࡘ㸪ᅜ⏘ᶵࡢタィ࣭㛤Ⓨࣇ࢙࣮ࢬࢆຠ⋡໬࣭㧗㏿໬ࡋ㸪➇ྜᶵ࡟ᑐࡍࡿᕷሙ➇தຊࢆᙉ໬ࡓࡵࡢᇶ┙ࢆ☜❧ࡍࡿ㸬⯟✵ᶵࡢタィ㛤Ⓨࢆ㧗㏿໬㸪㎿㏿໬ࡍࡿᐇ⏝ⓗ࡞ᢏ⾡ᇶ┙ࢆ☜❧ࡋ㸪ࣁࣈ࡟ཧຍࡍࡿ⯟✵ᶵ࣓࣮࢝࡜
ඹ᭷ࡍࡿ㸬ࡇࡢࡓࡵ㸪௒ᚋ 10 ᖺࢆぢᤣ࠼㸪ᩘ್ゎᯒࢆᐇ㦂࡜ྠ➼௨ୖࡢࣞ࣋ࣝ࡟ྥୖࡉࡏࡿࡇ࡜࡛タィ/ホ౯ࡢゎᯒࢩࣇࢺࢆᐇ⌧ࡍࡿ࡜࡜ࡶ࡟㸪ඛ⾜࣓࣮࢝࡜ྠ➼௨ୖࡢࣞ࣋ࣝ࡟ᐇᶵᛶ⬟ࡢண ᢏ⾡ࢆྥୖࡉࡏࡿ㸬㻌 ஦ᴗࡢ┠ᶆ᪂ࡓ࡟㛤Ⓨࡍࡿ FaSTAR-Move ࡣ㸪JAXA ࡛㛤Ⓨࡋࡓୡ⏺᭱㏿ࣞ࣋ࣝࡢὶయゎᯒࢶ࣮ࣝ FaSTAR ࡜㸪᪂ࡓ࡞ 2 ࡘࡢࣔࢪ࣮ࣗࣝࠕ⛣ື࣭ኚᙧ≀యゎᯒࣔࢪ࣮ࣗࣝࠖ࡜ࠕ࢚ࣥࢪࣥゎᯒࣔࢪ࣮࡛ࣗࣝࠖᵓᡂࡉࢀ
ࡿ㸬」㞧ᙧ≧࡟ᑐᛂࡋ㸪࠿ࡘ㧗㏿࡟ゎᯒ࡛ࡁࡿඃ఩ᛶࢆಖࡕࡘࡘ㸪᭱㐺໬࡞࡝ࡶྵࡵ㐺⏝⠊ᅖࢆᣑ኱ࡍ
ࡿࡇ࡜࡛㸪࣓࣮࢝ࡢࢽ࣮ࢬ࡟ᛂ࠼ࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㠀ᐃᖖゎᯒ࡛ࡣ㸪ィ⟬ࢥࢫࢺࡀ኱ࡁ࡞ၥ㢟࡛࠶ࡾ㸪ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡛㸪ึࡵ࡚ᐇ⏝ⓗ࡞ゎᯒࡀྍ⬟࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
⛣ື≀యゎᯒ⏝ࣔࢪ࣮ࣗࣝࡢHole Cuttingᶵ⬟ࡢ༢యࢸࢫࢺࢆ⤊஢ࡋࡓ㸬ࡲࡓ㸪⡆᫆ᙧ≧㸦ฝᙧ≧㸧࡟ᑐࡍࡿ㔜ྜ᱁Ꮚࢆ⏝࠸ࡓᐃᖖゎᯒࢆᐇ᪋ࡋ㸪෇ᰕ㸪⌫㸪ᦚ㍕≀ⴠୗ㸦2ḟඖ㸪‽ᐃᖖ㸧࡞࡝᳨࡛ドࢆ⾜
ࡗࡓ㸬

䠉㻞㻜䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 Hole Cutting࡜ゎᯒ⤖ᯝ
㸸Hole Cutting and computational result㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
2᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸32ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]171,745.78

SORA-PP

1,899.12

㻌
㻌

㻌

䠉㻞㻝䠉

SORA-LM

84.26

SORA-TPPHPC@JAXA2015㻌㻤㻚㻌 ⯟✵ᶵ䛻ᑐ䛩䜛 㼂㼛㼞㼠㼑㼤㻌㻳㼑㼚㼑㼞㼍㼠㼛㼞 䛾ຠᯝ㻌
Effect of Vortex Generators on Aircraft㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᇶ┙ᛂ⏝ᢏ⾡◊✲ࢳ࣮࣒㸪ఀ⸨ ೺(ito.takeshi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᇶ┙ᛂ⏝ᢏ⾡◊✲ࢳ࣮࣒㸪୰໭࿴அ(nakakita@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧᒣගᏹ(murayama.mitsuhiro@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ఀ⸨ 㟹(ito.yasushi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 FQUROH ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪⏣୰೺ኴ㑻(kentaro@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 FQUROH ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᖹ஭ ஽(thirai@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ࣎ࣝࢸࢵࢡࢫࢪ࢙ࢿ࣮ࣞࢱ (VG) ࡞࡝ࡢࢹࣂ࢖ࢫ࡟ࡼࡿ✵ຊᨵၿຠᯝࢆ㢼Ὕヨ㦂࡛ホ౯ࡋ㸪CFD ࡟ࡼࡗ࡚㢼ヨ࡛ᚓࡽࢀࡓ✵ຊᨵၿࢹࣂ࢖ࢫࡢຠᯝࢆ෌⌧࡛ࡁࡿᡭἲࢆ㛤Ⓨࡍࡿࡇ࡜࡛㸪⯟✵ᶵ࡬ࡢ✵ຊᨵၿࢹࣂ࢖ࢫ௜ຍ࡟ࡼࡿᛶ⬟ᨵၿࢆ᥎ᐃྍ⬟࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ୺࡟㢼Ὕヨ㦂᮲௳࡛㸪CFD ࡟ࡼࡾ✵ຊᨵၿࢹࣂ࢖ࢫ௜ࡁ୺⩼ࡲࡓࡣᑿ⩼࡛ࡢ✵ຊ≉ᛶࢆ෌⌧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
VG࡞࡝ࡢ✵ຊᨵၿࢹࣂ࢖ࢫࡣ᪤࡟㛗࠸㛫㸪ᐇᶵ࡟౑ࢃࢀ࡚࠸ࡿࡀ㸪ࢹࣂ࢖ࢫ࡟ࡼࡿ✵ຊᨵၿຠᯝࡢ≀⌮ⓗ࡞⌧㇟ゎ᫂ࡀ༑ศ࡜ࡣゝ࠼ࡎ㸪✵ຊᨵၿࢹࣂ࢖ࢫࡢタィ࡟ࡣᮍࡔ࡟⤒㦂ⓗ࡞ᡭἲࡀ⏝࠸ࡽࢀ࡚࠸ࡿ㸬ࢫࣃࢥࣥࢆ฼⏝ࡋࡓCFDゎᯒ࡟ࡼࡾヲ⣽࡞ὶࢀሙࢆ⌮ゎࡍࡿࡇ࡜࡛㸪ࡼࡾ㧗ᛶ⬟࡞✵ຊᨵၿࢹࣂ࢖ࢫࡢ
タィࡀྍ⬟࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᆶ┤ᑿ⩼㢼Ὕᶍᆺࢆసᡂࡍࡿ࡟࠶ࡓࡾ CFD ஦๓ゎᯒࢆ⾜࠸㸪ప㏿ᶓ⁥ࡾ᫬ࡢᆶ┤ᑿ⩼ᅇࡾࡢὶࢀሙࢆ
☜ㄆࡋࡓ㸬

䠉㻞㻞䠉

HPC@JAXA2015㻌㻌
ᅗ1 ప㏿᫬ࡢVG௜ࡁᑿ⩼ᅇࡾࡢ✵㛫᩿㠃඲ᅽศᕸ (㢼㏿50 m/s, Reynoldsᩘ 0.52M,㏄ゅ0°, ᶓ⁥ࡾゅ10°, ࣛࢲ࣮⯦ゅ5°)㸸Distributions of total pressure on cross-flow cross-sections around a vertical tailwith vortex generators (wind speed of 50 m/s, Reynolds number of 0.52M, angleof attack of 0°, angle of sideslip of 10° and flap deflection angle of 5°)㻌㻌ᅗ2 ప㏿᫬ࡢVG௜ࡁᑿ⩼࡛ࡢ⾲㠃ᅽຊศᕸ (㢼㏿50 m/s, Reynoldsᩘ 0.52M, ㏄ゅ0°,ᶓ⁥ࡾゅ10°, ࣛࢲ࣮⯦ゅ5°)㸸Distributions of surface pressure coefficient (wind speed of 50 m/s, Reynolds
number of 0.52M, angle of attack of 0°, angle of sideslip of 10° and flap
deflection angle of 5°)㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

䠉㻞㻟䠉

15᫬㛫
79ࢣ࣮ࢫ
96㹼192ࣉࣟࢭࢫ
8ࢥ࢔
MPI
OpenMP
SORA-MAHPC@JAXA2015㻌㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) Yasushi Ito, Kazuomi Yamamoto, Kazuhiro Kusunose, Shunsuke Koike, Kazuyuki Nakakita,
Mitsuhiro Murayama and Kentaro Tanaka, “Effect of Vortex Generators on Transonic Swept
Wings,” Journal of Aircraft, DOI: 10.2514/1.C033737, accepted for publication.
ཱྀ㢌Ⓨ⾲2) ᑠụಇ㍜㸪ఀ⸨ 㟹㸪ᴋ℩୍ὒ㸪ෆ⏣ ὒ㸪୰ᓥ ດ㸪ᒣᮏ୍⮧㸪୰໭࿴அ㸪ࠕࣇࣛࢵࣉ࡟タ⨨ࡋࡓ࣎ࣝࢸ
ࢵࢡࢫࢪ࢙ࢿ࣮ࣞࢱࡢ๤㞳ᢚไຠᯝࠖ
㸪➨47ᅇὶయຊᏛㅮ₇఍㸭⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘2015㸪1E04㸪2015㸬3) ᑠụಇ㍜㸪୰ᓥ ດ㸪ᴋ℩୍ὒ㸪ఀ⸨ 㟹㸪ᮧᒣගᏹ㸪୰໭࿴அ㸪ᒣᮏ୍⮧㸪ࠕ㑄㡢㏿ὶ୰ࡢNASA Common
Research Model࡟࠾ࡅࡿ࣎ࣝࢸࢵࢡࢫࢪ࢙ࢿ࣮ࣞࢱྲྀࡾ௜ࡅ᪉ྥࡢᙳ㡪ࠖ㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࢘
࣒㸪1B01㸪 2015㸬ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

SORA-LM

2,066,986.44

SORA-TPP



㻌

䠉㻞㻠䠉

HPC@JAXA2015㻌㻥㻚㻌 ⯟✵⏝䜶䞁䝆䞁䛾䝣䜯䞁䝤䝺䞊䝗ὶ䜜䛾ቃ⏺ᒙ㑄⛣䛾 㻸㻱㻿 䛻䜘䜛ᩘ್ண 㻌
Large-eddy simulation of boundary layer transition along a fan blade㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪す⃝ᩄ㞝(nishizawa.toshio@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪㈡⃝㡰୍(kazawa.junichi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᴮᮏಇ἞(enomoto.shunji@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗẸ㛫࢚ࣥࢪࣥࡢ⎔ቃ㐺ྜᛶྥୖ࡟㈨ࡍࡿᕪู໬ᢏ⾡ࢆ⋓ᚓࡋ㸪ᡃࡀᅜࡢ࢚ࣥࢪࣥ⏘ᴗࡢᅜ㝿➇தຊࢆᙉ໬ࡋ࡚ḟࡢᅜ㝿ඹྠ㛤Ⓨ࡛ࢩ࢙࢔ࢆ☜ಖ࣭ᣑ኱ࡋ㸪ᅜෆ࢚ࣥࢪࣥ⏘ᴗࡢ⏕⏘㧗ࡀᡂ㛗ࡍࡿࡇ࡜࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
JAXA ࢡ࣮࢚ࣜࣥࣥࢪࣥᢏ⾡◊✲㛤Ⓨ஦ᴗࡢ㐩ᡂ┠ᶆ࡜ࡋࡓࣇ࢓ࣥࡢ࣏ࣜࢺ࣮ࣟࣉຠ⋡࡟ᑐࡋ࡚, 1ptࡢࣇ࢓ࣥ✵ຊຠ⋡ࡢྥୖࢆ㐩ᡂࡍࡿ㧗ຠ⋡໬ᢏ⾡ࢆ㛤Ⓨ࣭ᐇドࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㑄⛣⌧㇟ࡢ⌮ゎ㸪ࣇ࢓ࣥ✵ຊタィ࡬ࡢタィᣦ㔪ࡢᥦ౪㸪タィࡉࢀࡓࣇ࢓ࣥᙧ≧ࡢホ౯㸪ᐇ㦂⤖ᯝࡢホ౯㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࣈ࣮ࣞࢻ࿘ࡾࡢὶࢀሙ࡟ᑐࡍࡿ 6 ḟ⢭ᗘࢥࣥࣃࢡࢺࢫ࣮࣒࢟࡟ࡼࡿ LES ࡟ࡼࡾ㸪஘ὶ㑄⛣ࡢⓎ⏕ࡢ᭷↓ࡢᩘ್ண ࢆヨࡳࡓ㸬㻌㻌㻌ᅗ 1 ᚋ㏥ゅࡢ᭷ࡿ෇ᰕ࿘ࡾࡢὶࢀሙࡢ஘ὶ㑄⛣ࡢ LES ゎᯒ㸸Large Eddy Simulation of swept cylinder boundary layer

㻌

䠉㻞㻡䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

1500᫬㛫
1ࢣ࣮ࢫ
540ࣉࣟࢭࢫ1ࢥ࢔
MPI࡞ࡋ
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

2,065,464.77

839,409.39

䠉㻞㻢䠉

SORA-LM

SORA-TPP

621,494.24

HPC@JAXA2015㻌㻝㻜㻚㻌 ᑠᆺ⯟✵ᶵ䜶䞁䝆䞁⏝⇞↝ჾෆ㒊ὶ䛾ゎᯒ㻌Flow field Analysis inside Combustors for Small Air Craft Engine㻌 ஦ᴗᙧែ
⯟✵ᮏ㒊஦ᴗ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪஧ᮧᑦኵ(futamura.hisao@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪∾⏣ගṇ(makida@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ྜྷ⏣ᚁ஧(yoshida.seiji@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᒣᮏ Ṋ(yamamoto.takeshi@jaxa.jp)ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪୰ᮧ┤⣖(nakam@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ⯟✵ᶵ࢚ࣥࢪࣥ⏝⇞↝ჾෆࡢὶࢀሙࢆ㧗⢭ᗘ࡛ண ࡛ࡁࡿ㠀⇞↝ゎᯒࢥ࣮ࢻࡢ㛤Ⓨ㸬㻌 ஦ᴗࡢ┠ᶆ⯟✵࢚ࣥࢪࣥ⏝⇞↝ჾ࡛ࡣ㸪⇞ᩱࣀࢬࣝཬࡧ⇞↝ჾࣛ࢖ࢼ✵ẼᏍ࠿ࡽࡢὶ㔞㓄ศࡀᛶ⬟ࢆᕥྑࡍࡿࡓ
ࡵ㸪⇞↝ჾෆࡢὶࢀሙࢆᢕᥱࡋ㸪⇞ᩱࣀࢬࣝࡸࣛ࢖ࢼୖࡢ✵ẼᏍ㸪෭༷Ꮝ࠿ࡽࡢὶ㔞㓄ศࢆண ࡍࡿࡇ࡜ࡀ㔜せ࡜࡞ࡗ࡚࠸ࡿ㸬ᮏ◊✲࡛ࡣᐇᶵ⇞↝ჾࡢᙧ≧ࢆฟ᮶ࡿࡔࡅᛅᐇ࡟෌⌧ࡋࡓ㠀⇞↝ὶࢀゎᯒࢆ⾜ࡗ࡚⇞↝ჾෆࡢὶࢀሙࢆ෌⌧ࡋ㸪✵Ẽ㔞㓄ศ࡞࡝ࡢ✵ຊᛶ⬟ࢆ㧗⢭ᗘ࡛ண ࡛ࡁࡿ⇞↝ჾゎᯒᡭἲࢆᵓ
⠏ࡍࡿ஦ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᙧ≧ࣃ࣓࣮ࣛࢱࢆᑡࡋࡎࡘኚ࠼࡞ࡀࡽࣃ࣓ࣛࢺࣜࢵࢡࢫࢱࢹ࢕࣮ࢆ⾜࠺ᚲせࡀ᭷ࡿࡀ㸪ࡑࢀࡒࢀࡀ኱
つᶍ࡞ィ⟬ࡢࡓࡵ㸪ຠ⋡ⓗ࡟ィ⟬ࡍࡿࡓࡵ࡟ࡣ୪ิ໬ᛶ⬟ࡢ㧗࠸ィ⟬⎔ቃࡀᚲせ㸬㻌 ௒ᖺᗘࡢᡂᯝ
௒ᖺᗘࡣ㸪ணΰྜ 2 ẁ⇞↝ࢩࣥࢢࣝࢭࢡࢱ⇞↝ჾ࡟ࡘ࠸࡚㸪⇞↝ჾࣛ࢖ࢼୖὶࡢࣉࣞࢹ࢕ࣇ࣮ࣗࢨࡸ
࢝࢘ࣝ㸪ࣛ࢖ࢼ࿘ࡾࡢࢣ࣮ࢩࣥࢢࡢ᭷↓࣭ᙧ≧ࡀ⇞↝ჾෆ㒊ࡢὶࢀ࡟࡝ࡢᵝ࡟ᙳ㡪ࡍࡿ࠿ࢆゎᯒࡋࡓ㸬௒ᚋ㸪ࡇࢀࡽࡢᙧ≧ࢆࣃ࣓࣮ࣛࢱ࡜ࡋࡓィ⟬ࢆ⾜ࡗ࡚Ⰻዲ࡞ᙧ≧ࢆ㑅ᢥࡋ㸪⇞↝ჾࡢ㛤Ⓨ࡟ά⏝ࡋ࡚࠸ࡃணᐃ࡛࠶ࡿ㸬䠉㻞㻣䠉

HPC@JAXA2015㻌㻌ࣉࣞࢹ࢕ࣇ࣮ࣗࢨ↓ࡋ                 ࣉࣞࢹ࢕ࣇ࣮ࣗࢨ᭷ࡾ
Without pre-diffuser          With pre-diffuserᅗ 1 ࣉࣞࢹ࢕ࣇ࣮ࣗࢨࡢ᭷↓ࡀ⇞↝ჾෆ㒊ࡢ㏿ᗘሙ࡟୚࠼ࡿᙳ㡪 㸸Effect of pre-diffuser to velocity field inside combustor㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

200᫬㛫
10ࢣ࣮ࢫ
64ࣉࣟࢭࢫ
4ࢥ࢔
MPI⮬ື୪ิ
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

1,368,770.36

495.29䠉㻞㻤䠉

SORA-LM

SORA-TPP㻌HPC@JAXA2015㻌㻝㻝㻚㻌 䜾䝸䞊䞁䜶䞁䝆䞁䠄㉸㧗 䝍䞊䝡䞁ᢏ⾡䛾◊✲䠅㻌
High Temperature Turbine Research㻌 ஦ᴗᙧែᮏ㒊஦ᴗ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪஧ᮧᑦኵ(futamura.hisao@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᒣ᰿ ᩗ(yamane.takashi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪㕥ᮌṇஓ(suzuki.masaya@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ⎔ቃᛶ⬟ྥୖࡢࡓࡵ࡟㸪ࡇࢀࡲ࡛᪥ᮏࡢᢸᙜᐇ⦼ࡀᑡ࡞࠸ࢥ࢔࢚ࣥࢪࣥ㸪࢚ࣥࢪࣥ㦁㡢పῶᢏ⾡ࡢ㛤Ⓨ࣭ᐇドࢆ┠ᣦࡍ㸬㻌 ஦ᴗࡢ┠ᶆࢩࣥࣉࣝ࡞෭༷ᵓ㐀ࡢ㐺⏝࡟ࡼࡾ㉸㧗 㸦1,600Υ㸧࡟ࡶ⪏࠼ࡽࢀ㸪」㞧࡞෭༷ᶵᵓࢆᚲせ࡜ࡋ࡞ࡃ࡞
ࡿࡼ࠺࡞ࢱ࣮ࣅࣥ⩼ࢆ㛤Ⓨࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ὶయ࣭⇕ఏᑟ㐃ᡂᩘ್ゎᯒ࡞࡝࡟ࡼࡾ㸪ヲ⣽࡞ࢱ࣮ࣅࣥ⩼ ᗘศᕸࢆண ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
MA ࢩࢫࢸ࣒⏝࡟ࢫࣆ࣮ࢻࢳ࣮ࣗࢽࣥࢢࢆヨࡳࡓࡢࡳ࡛㸪฼⏝࡟ࡼࡿᡂᯝࡣ࠶ࡾࡲࡏࢇ㸬㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

32,576.16

432.24䠉㻞㻥䠉

SORA-LM

SORA-TPP㻌HPC@JAXA2015㻌㻝㻞㻚㻌 ᐇᶵᙧ≧⇞ᩱ䝜䝈䝹䛾ᚤ⢏໬䛻㛵䛩䜛◊✲㻌
Atomization of fuel spray nozzle in a practical geometry㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᾆ୍ဴ(matsuura.kazuaki@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪㯮ἑせ἞(kuro@chofu.jaxa.jp)ᒣ⏣⚽ᚿ(yamasyu@chofu.jaxa.jp)∾⏣ගṇ(makida@chofu.jaxa.jp)ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪୰ᮧ┤ᕫ(nakam@chofu.jaxa.jp)ᰴᘧ఍♫ᩘ್ࣇ࣮ࣟࢹࢨ࢖ࣥ㸪ᙇ ఍᮶(zhang@nufd.jp)ᰴᘧ఍♫ᩘ್ࣇ࣮ࣟࢹࢨ࢖ࣥ㸪㣤㔝 ῟(jiino@nufd.jp)㻌 ஦ᴗࡢ┠ⓗࢢ࣮࢚ࣜࣥࣥࢪ࡛ࣥ㛤Ⓨ୰ࡢ⇞↝ჾ࡟⏝࠸ࡽࢀࡿ⇞ᩱࣀࢬࣝࡢᚤ⢏໬⌧㇟ࢆᩘ್ゎᯒࡋ㸪㛤Ⓨຠ⋡໬ࡢࡓࡵࡢ⌧㇟ᢕᥱࢆ⾜࠺㸬㻌 ஦ᴗࡢ┠ᶆ⌧㇟ᢕᥱ࡟ࡼࡾ㛤Ⓨຠ⋡໬࡟㈨ࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
10~20ȣmࣞ࣋ࣝ࡜᝿ᐃࡉࢀࡿ⇞ᩱᾮ⁲ࢆゎീࡍࡿࡓࡵ࡟ࡣࢫࣃࢥࣥࡢ฼⏝ࡀᚲせ୙ྍḞ࡜࡞ࡗ࡚ࡃࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
10㹼20ȣm ࣞ࣋ࣝࡢᾮ⁲ࡀ⏕ᡂࡉࢀࡿ㸪⯟✵⇞↝ჾෆࡢ 1 ḟศ⿣⌧㇟ࢆ CFD ゎᯒࡍࡿࡓࡵࡢ᭱㐺࡞᱁Ꮚᐦᗘࢆᾮ⭷ᘧᚤ⢏໬ࣔࢹࣝࢆᑐ㇟࡜ࡋ࡚ㄪᰝࡋࡓ㸬ᑗ᮶ⓗ࡟ࡣ㸪௒ᅇࡢࡼ࠺࡞ 1 ḟᚤ⢏໬ゎᯒ࡟ࡼࡗ࡚ᚓࡽࢀࡓᾮ⁲᝟ሗࢆ౑⏝ࡋ㸪ᐇᶵࢫࢣ࣮ࣝࡢᄇ㟝⇞↝ゎᯒࢆᐇ᪋ࡍࡿ㸬䠉㻟㻜䠉

HPC@JAXA2015ᅗ 1 ᱁Ꮚᐦᗘࡢ㐪࠸࡟ࡼࡿᚤ⢏໬⌧㇟ࡢẚ㍑
㸸Comparison of the atomization process by the difference in mesh size㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

500᫬㛫
4ࢣ࣮ࢫ
144ࣉࣟࢭࢫ
4ࢥ࢔
MPI
OpenMP
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]1,742,921.79

SORA-PP

6,883.69

䠉㻟㻝䠉

SORA-LM

SORA-TPP㻌HPC@JAXA2015㻌㻝㻟㻚㻌 䝅䝭䝳䝺䞊䝅䝵䞁ᣐⅬ䛾ᩚഛ㻌
Development of Simulation Hub㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦タഛ⥔ᣢ㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᮧୖ᱇୍(murakei@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪▼⏣ ᓫ(tishida@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪ᯘ ㅬྖ(khayashi@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪㏆⸨ ㈼(skondo@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ◊✲ࢸ࣮࣐ࢆ኱ࡃࡃࡾ໬ࡋ㸪ศ㔝ᶓ᩿ࡢ◊✲ࢆಁ㐍ࡍࡿࡓࡵ㸪ྛ◊✲ࣘࢽࢵࢺࡢࢩ࣑࣮ࣗࣞࢩࣙࣥࢥ
࣮ࢻࢆඹ᭷ࡍࡿࡇ࡜ࡀ᳨ウࡉࢀ࡚࠸ࡿ㸬ᮏ஦ᴗ࡛ࡣ㸪ࡑࡢࡓࡵࡢ࣑ࢻ࢙ࣝ࢘࢔ࢆ᳨ウࡍࡿࡇ࡜ࡀ┠ⓗ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ┠ᶆ࣑ࢻ࢙ࣝ࢘࢔࡜ࡋ࡚㸪࢟ࣕࢺࣝ࢔࢖ࢧ࢖࢚ࣥࢫ♫ࡢ ASNARO ࢆ᥇⏝ࡋ㸪ᐇ㝿࡟ࢫࣃࢥࣥ࡜㐃ᦠࡋ࡚ゎᯒྍ⬟࠿࡝࠺࠿ホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᵓ᝿୰ࡢࣉࣛࢵࢺࣇ࢛࣮࣒ࡣ㸪⤫ྜࢩ࣑࣮ࣗࣞࢩࣙࣥ㸪⤫ྜࢹ࣮ࢱ࣮࣋ࢫ㸪ᢏ⾡┦ㄯ࣏࣮ࢱ࡛ࣝᵓᡂ
ࡉࢀࡿ㸬ࢫࣃࢥࣥࡣࢩ࣑࣮ࣗࣞࢩࣙࣥࢆᐇ᪋ࡍࡿ୰᰾ࡢィ⟬ࢧ࣮ࣂ࡜ࡋ࡚఩⨨࡙ࡅࡽࢀࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
HexaGrid࡜FaSTARࢆASNARO࡟ᐇ⿦ࡋ࡚㸪ࢫࣃࢥࣥ࡜㐃ᦠࡋ࡚ィ⟬ྍ⬟࡛࠶ࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬⌧ᅾ㸪ᣑᙇᛶࡸ㸪౑࠸຾ᡭࡢほⅬ࡛ホ౯ࢆ㐍ࡵ࡚࠸ࡿ㸬䠉㻟㻞䠉

HPC@JAXA2015㻌㻌㻌ᅗ࣮࣡ࢡࣇ࣮ࣟࡢ⟶⌮
㸸Management of Workflow㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
128ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣ ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]2,273,118.85

SORA-PP

2,003.59

䠉㻟㻟䠉

SORA-LM

1,719.31

SORA-TPPHPC@JAXA2015㻌㻝㻠㻚㻌 ᑗ᮶ᆺᅇ㌿⩼⯟✵ᶵ䛻㛵䛩䜛◊✲㻌Research of Advanced Rotorcraft㻌 ஦ᴗᙧែ
୍⯡◊✲ ࣭ ཷク◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧୖ ဴ(murakami.akira@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪
⏣㎶Ᏻᛅ(tananabe.yasutada@jaxa.jp)ᮡᾆṇᙪ(sugiura.masahiko@jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪Ⳣཎ⍛᫂(hideaki8@chofu.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪኱Ụᬕኳ(HaruOhe@chofu.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪᳜ᮧ♸ኴ(yuemura@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗḟୡ௦⯟✵ᶵࡢᴫᛕ᳨ウ࡜ඛ➃⯟✵ᶵᢏ⾡࡟㛵ࡍࡿ◊✲㸬㻌 ஦ᴗࡢ┠ᶆᑗ᮶ᆺᅇ㌿⩼⯟✵ᶵࡢᴫᛕタィ᱌ࡢࢩࢫࢸ᳨࣒ウ࡜ᚲせ࡞ඛ➃ᢏ⾡ࡢὙ࠸ฟࡋ㸬ྛ✀タィࢶ࣮ࣝࡢᵓ⠏࡜᳨ド㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭≉࡟኱つᶍィ⟬ࡀᚲせ࡞✵ຊᛶ⬟ࡸ✵ຊᖸ΅ࡢᢕᥱ࡟㛵ࡋ࡚ࡣ㸪ࢫ࣮ࣃࢥࣥࣆ࣮ࣗࢱࡢ฼⏝ࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
1)
2)
3)
4)

㧗㏿๓㐍㣕⾜୰ࡢ࣮ࣟࢱ࡟ാࡃ✵Ẽຊࡢண ཬࡧᐇ㦂⤖ᯝ࡜ࡢ᳨ド㸬ᶫᱱ᩿㠃࿘ࡾࡢὶࢀሙࡢᢕᥱ࡜ࢻ࣮ࣟࣥࡢ㣕⾜࡬ࡢᙳ㡪ࡢ᳨ウ㸬࣊ࣜࢥࣉࢱࡢ࣮ࣟࢱ࣭ࣈ࣮ࣞࢻࡢ✵ຊᙧ≧ࡢ᭱㐺タィ㸬ᆅ㠃ቃ⏺ᒙ୰ࡢ㢼㌴࡟ാࡃኚືⲴ㔜ࡢᢕᥱ࡜㍍ῶᡭẁࡢࢩ࣑࣮ࣗࣞࢩࣙࣥ㸬䠉㻟㻠䠉

HPC@JAXA2015
㻌ᶍᆺ,AoA=Ͳ3㼻

ᶍᆺ,AoA=0㼻ᶍᆺ,AoA=3㼻㻌㻌㻌ᅗ 1 4 ᱆ᶫᱱ᩿㠃࿘ࡾࡢὶࢀሙࡢᖹᆒ㏿ᗘศᕸ㸸Mean velocity contour around a 4-girder bridge㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
480᫬㛫
ࢣ࣮ࢫᩘ㸸
18ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸96ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Yasutada Tanabe, Takashi Aoyama, Harutaka Oe, Yuta Uemura, and Hideaki Sugawara,
Simulations of Horizontal Axis Wind Turbines in Complex Operational Conditions, The American
Helicopter Society 71st Annual Forum, Virginia Beach, USA, May 2015.
2) Masahiko Sugiura, Yasutada Tanabe, Hideaki Sugawara, Naoki Matayoshi, and Hirokazu Ishii,
Numerical Simulations and Measurements of the Wake from a Helicopter Operating in Ground
Effect, The American Helicopter Society 71st Annual Forum, Virginia Beach, USA, May 2015.
3) Yasutada Tanabe, and Hideaki Sugawara, Aerodynamic Validation of rFlow3D Code with UH-60A
Data Including High Advance Ratios, 41st European Rotorcraft Forum, Munich, Germany,
September 2015.
4) Masahiko Sugiura, Yasutada Tanabe, Hideaki Sugawara, and Inderjit Chopra, Application of a
CFD and Prescribed Wake Model to High Advance Ratio Wind Tunnel Test Validation, 41st
European Rotorcraft Forum, Munich, Germany, September 2015.
5) Harutaka Oe, Makoto Yamamoto, Yasutada Tanabe, and Hideaki Sugawara, CFD Analysis on
Load Mitigation of Wind Turbine Utilizing Individual Pitch Control in Stable ABL, AIAA SciTech
2016, January 2016.
6) Masahiko Sugiura, Yasutada Tanabe, Hideaki Sugawara, and Inderjit Chopra, Validation of
rFlow3D Code for a Helicopter at High Advance Ratios, AHS International Technical Meeting on
Aeromechanics and Design for Vertical Lift, January 2016.
䠉㻟㻡䠉HPC@JAXA20157) ⏣㎶Ᏻᛅ㸪Ⳣཎᬪ᫂㸸࣊ࣜࢥࣉࢱࡢ㧗㏿㣕⾜᫬ࡢ✵ຊᛶ⬟ண 㸪ὶయຊᏛㅮ₇఍㸭⯟✵Ᏹᐂᩘ್ࢩ࣑ࣗ
࣮ࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪2015ᖺ7᭶㸬8) ኱Ụᬕኳ㸪⏣㎶Ᏻᛅ㸪Ⳣཎ⍛᫂㸪Ᏺ ⿱ஓ㸪ᒣᮏ ㄔ㸸⊂❧ࣆࢵࢳไᚚࢆ㐺⏝ࡋࡓ኱ᆺ㢼㌴࿘ࡾࡢὶࢀࡢ
ᩘ್ィ⟬㸪᪥ᮏᶵᲔᏛ఍ὶయᕤᏛ㒊㛛ㅮ₇఍㸪2015ᖺ11᭶㸬9) ᳜ᮧ♸ኴ㸪ᒣᮏ ㄔ㸪Ᏺ ⿱ஓ㸪኱Ụᬕኳ㸪Ⳣཎ⍛᫂㸪⏣㎶Ᏻᛅ㸸㢼㌴㛫ࡢ✵ຊᖸ΅࡟㛵ࡍࡿᩘ್ⓗ◊✲㸪᪥ᮏᶵᲔᏛ఍ὶయᕤᏛ㒊㛛ㅮ₇఍㸪2015ᖺ11᭶㸬10) Ⳣཎ⍛᫂㸪⏣㎶Ᏻᛅ㸪ᮡᾆṇᙪ㸸㧗㏿࣊ࣜࢥࣉࢱ࡟㐺⏝ࡍࡿCFDゎᯒᢏ⾡ࡢ㛤Ⓨ㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪2015ᖺ11᭶㸬11) Masahiko Sugiura, Yasutada Tanabe, Takashi Aoyama, Biel Ortun, and Joelle Bailly, An
ONERA/JAXA Co-operative Research on the Assessment of Aerodynamic Methods for the
Optimization of Helicopter Rotor Blades, Phase I, 4th Asian/Australian Rotorcraft Forum,
Bangalore, India, November 2015.
12) ᮌᮧ᱇኱㸪⏣㎶Ᏻᛅ㸪㟷ᒣ๛ྐ㸪㣤⏣ ㄔ㸪ᯇᑿ⿱୍㸪Ⲩᕝᛅ୍㸸㢼㌴㐲᪉ᚋὶ࡟࠾ࡅࡿ⩼➃ ࡢᐤ୚㸪➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪2015ᖺ12᭶㸬13) ᒣ⏣ 㑈㸪⏣㎶Ᏻᛅ㸪㟷ᒣ๛ྐ㸪㣤⏣ ㄔ㸪ᯇᑿ⿱୍㸪Ⲩᕝᛅ୍㸸ࣈ࣮ࣞࢻࣆࢵࢳゅࡀ㉸኱ᆺ㢼㌴ᛶ⬟࡟୚࠼ࡿᙳ㡪࡟㛵ࡍࡿCFDゎᯒ㸪➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪2015ᖺ12᭶㸬14) Yuta Uemura, Makoto Yamamoto, Yasutada Tanabe, Takashi Aoyama, and Hideaki Sugawara,
Numerical Investigation of Effect of Upstream Turbine Wake to Flow Field and Performance ofDownstream Wind Turbine Internationl Gas Turbine Congress 2015 Tokyo, November 2015.
㻌ᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

521,916.92

558,399.99

㻌

䠉㻟㻢䠉

SORA-LM

1,538.72

SORA-TPP

2.20

HPC@JAXA2015㻌㻝㻡㻚㻌 ᑗ᮶ᆺ᪑ᐈᶵ䛾✵ຊ䞉㦁㡢᭱㐺໬◊✲㻌
Aerodynamic and aeroacoustics optimization of next-generation airplane㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧୖဴ(murakami.akira@jaxa.jp)ᵓᡂဨ㸸㤳㒔኱Ꮫᮾி኱Ꮫ㝔 ࢩࢫࢸ࣒ࢹࢨ࢖ࣥ◊✲⛉㸪ᮡᒣኴ୍࣭ᚋ⸨ 㥴㤳㒔኱Ꮫᮾி ࢩࢫࢸ࣒ࢹࢨ࢖ࣥᏛ㒊 ࢩࢫࢸ࣒ࢹࢨ࢖ࣥᏛ⛉㸪ᑠᯘಖ㮚㻌 ஦ᴗࡢ┠ⓗ኱ᖜ࡞㦁㡢పῶ࣭⇞㈝పῶࢆᐇ⌧࡛ࡁࡿ㠉᪂ⓗ࡞୰࣭ᑠᆺ᪑ᐈᶵᙧ≧ࡢᥦ᱌࡟ྥࡅ㸪㧗ᥭຊ⿦⨨ࡢ✵ຊ㦁㡢ࢆపῶࡍࡿࡓࡵࡢᙧ≧࠾ࡼࡧᒎ㛤఩⨨㸪ᖜᗈ⬗య࡬ࡢ࢚ࣥࢪࣥୖ᪉ᦚ㍕࡞࡝࡟ࡼࡾ㦁㡢㐽ⶸຠᯝࢆ฼⏝ࡍࡿᶵయᙧែ㸪ㄏᑟ᢬ᢠࢆపῶ࡛ࡁࡿ⩼➃ᙧ≧ࢆᑐ㇟࡜ࡋ࡚㸪ప㦁㡢࣭ప⇞㈝ࢆ㐩ᡂ࡛ࡁࡿᙧ≧࣭ᙧែࡢྍ⬟ᛶࢆᩘ್ὶయຊᏛ࡜᭱㐺タィἲࢆ᥼⏝ࡋ㸪᳨ウࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᚑ᮶ᶵࡢ⤒㦂࡟ࡼࡽ࡞࠸᪂つᛶࡢ㧗࠸ᶵయࢥࣥࢭࣉࢺࡢᴫᛕ᳨ウ࡟ྥࡅ࡚㸪ప㦁㡢໬㧗ᥭຊ⿦⨨࡜࢚ࣥࢪࣥୖ᪉ᦚ㍕㸪᪂ᆺ⩼➃ᙧ≧࡟㛵ࡍࡿ᪂ࡓ࡞▱ぢࡢ⋓ᚓࡸ㸪᭱㐺໬㛵㐃ᢏ⾡ࡢᨵⰋཬࡧࡑࡢ㐺⏝ᛶࡢ᳨ドࡀ୺ࡓࡿ┠ᶆ࡛࠶ࡿ㸬ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈࡢᴫᛕ᳨ウ࡜㐃ᦠࡋ࡚㐍ࡵࡿࡇ࡜࡟ࡼࡾ㸪஫࠸ࡢᑗ᮶ᆺ᪑ᐈᶵᙧ≧ࡢ๰㐀࡟㛵ࢃࡿ◊✲ࢆຠᯝⓗ࡟㐍ᒎࡉࡏࡿࡇ࡜ࡀᮇᚅ࡛ࡁࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭୕せ⣲⩼ࡢ㧗ᥭຊᙧែప㦁㡢໬࡛ࡣ㸪ࢫࣛࢵࢺ࠿ࡽⓎ⏕ࡍࡿ㦁㡢࡜㸪ࢫࣛࢵࢺᙧ≧࡜ࢫࣛࢵࢺࡢẕ⩼࡟ᑐࡍࡿ┦ᑐ఩⨨ࡢࣃ࣓ࣛࢺࣜࢵࢡࢫࢱࢹ࢕ࢆ⾜࠺ࡇ࡜࡛ឤᗘゎᯒࢆ⾜ࡗࡓࡀ㸪ࢫࣛࢵࢺ࿘ࡾࡢὶࢀࡣ
」㞧࡛࠶ࡾ㸪㧗ḟ⢭ᗘࢯࣝࣂ࣮࡟ࡼࡾ⾜࠺ࡇ࡜ࡀ୙ྍḞ࡛࠶ࡿ㸬ࡲࡓ࢚ࣥࢪࣥ㦁㡢㐽ⶸ࡛ࡣ㸪ᚑ᮶ᶵ࡟ࡼࡿ▱ぢࡀ↓࠸ࡓࡵ㸪࢚ࣥࢪࣥ㓄⨨఩⨨ࡸ⬗యᙧ≧ࡢ᭱㐺ᛶ᳨ウࢆ㸪ࡸࡣࡾࣃ࣓ࣛࢺࣜࢵࢡ࡟⾜࠺ᚲせࡀ࠶ࡿ㸬⩼➃ᙧ≧࡟ࡘ࠸࡚ࡣ㸪split wingletࢱ࢖ࣉ࡟╔┠ࡋ㸪ᑠ⩼ࡢᙧ≧ཬࡧ㓄⨨᭱㐺໬ࡢ㝿࡟ከ㔞ࡢゎᯒࡀᚲせ࡛࠶ࡗࡓ㸬ࡇࡢࡼ࠺࡟㸪タィ▱㆑ࢆ⋓ᚓࡍࡿࡓࡵࡢࣃ࣓ࣛࢺࣜࢵࢡࢫࢱࢹ࢕ࡸ᭱㐺໬࡟࠾࠸࡚
ࡣከࡃࡢィ⟬㔞ࡀᚲせ࡜࡞ࡿࡓࡵ㸪ࢫࣃࢥࣥࡢᯝࡓࡍᙺ๭ࡣ኱ࡁ࠸㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࢫࣛࢵࢺ㦁㡢࡟ࡘ࠸࡚ࡣ㸪ࡇࢀࡲ࡛ࡢ JAXA ࡛ࡢ◊✲࡟ࡼࡿ㸪ࢫࣛࢵࢺୗ㠃ࡢ๤㞳つᶍ࡜㦁㡢࡟┦㛵ࡀ࠶ࡿ࡜ࡢ௬ㄝ࡟ᇶ࡙ࡁ㸪๤㞳つᶍ࡜✵ຊᛶ⬟ࡢࢺ࣮ࣞࢻ࢜ࣇ㛵ಀࢆ᫂ࡽ࠿࡟ࡋࡓ㸬ࡲࡓ㸪࢚ࣥࢪࣥࡢ
⬗ୖ㓄⨨࡟࠾࠸࡚ࡣ㸪ᚋ⬗እᙧᙧ≧ࡢタィἲࢆᵓ⠏ࡋ㸪ᚋ⬗ᙧ≧ࢆኚ໬ࡉࡏࡓ㝿ࡢ⬗య✵ຊᛶ⬟ࡸ࢚ࣥࢪࣥ྾Ẽᛶ⬟ࡢኚ໬࡟㛵ࡍࡿ▱ぢࢆᚓࡓ㸬ࡉࡽ࡟ split winglet ᙧ≧࡟ࡘ࠸࡚ࡣ㸪኱ᇦⓗ᭱㐺໬ἲࢆ฼⏝ࡋ࡚㸪ᑠ⩼ࡢ᭱㐺㓄⨨ࡸᑠ⩼ࡢᚋ㏥ゅࢆኚ᭦ࡋࡓ㝿ࡢ୺⩼✵ຊᛶ⬟࡜ὶࢀሙࡢኚ໬࡟ࡘ࠸࡚ࡢ▱ぢࢆᚓࡓ㸬䠉㻟㻣䠉HPC@JAXA2015㻌㻌㻌

ᅗ1 ࢫࣟࢵࢺ㛫㝸ኚ᭦࡟ࡼࡿࢫࣛࢵࢺୗ㠃࡛ࡢ๤㞳ࡢኚ໬ࢆẚ㍑ࡍࡿ
ࡓࡵࡢࢫࣛࢵࢺ࿘ࡾMachᩘศᕸ㸸Mach number distributions around a slat with two different slot
openings for comparing flow separation in the slat cove㻌࠙ィ⟬᝟ሗࠚ
16᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
72ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
10ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PPᅗ2 ᑠ⩼᭱㐺࡛ࡢ⩼➃ ࡢኚ໬࣓࢖ࣥ࢘࢕ࣥࢢࣞࢵࢺ࿘ࡾ (ୖᅗ) ࡜split wingletࡢᑠ⩼࿘ࡾ(ୗᅗ)
㸸Comparison of wing tip vortices aroundmain winglets (upper subfigures) sub-winglet (lower subfigures)࠙ィ⟬᝟ሗࠚ
3᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
93ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
50ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 3ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP䠉㻟㻤䠉HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᅵᒇ㝧௓㸪㔠ᓮ㞞༤㸪ᰩ⏣඘㸪ᮧᒣගᏹ㸪㤶すᨻᏕ㸪ࠕຠ⋡ⓗタィ᥈ᰝἲ࡟ࡼࡿ୺⩼⩼➃✵ຊᙧ≧タィࠖ㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪ᯇᒣᕷ㸪2015ᖺ11᭶㸬ᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP2,132,346.83

334,519.85

䠉㻟㻥䠉SORA-LM

0.90

SORA-TPPHPC@JAXA2015㻌㻝㻢㻚㻌 ᑗ᮶⯟✵ᶵ䛻ᑐ䛩䜛⮬↛ᒙὶ⩼タィᢏ⾡䛾◊✲㻌Natural Laminar Flow Wing Design of Future Passenger Aircraft㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪㒌 ᮾ₶(kwak.dongyoun@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᚨᕝ┤Ꮚ(tokugawa.naoko@jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪㯮⏣ᩥṊ(fkuroda@chofu.jaxa.jp)Ꮫ⩦㝔኱Ꮫ኱Ꮫ㝔㸪∵ᒣ๢࿃(u41@chofu.jaxa.jp)Ꮫ⩦㝔኱Ꮫ㸪ᐑᓮṇஓ(masaya@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶⯟✵ᶵࡢඃ఩࡞⎔ቃᛶ⬟ࢆᐇ⌧ࡍࡿࡓࡵ࡟㸪せ⣲ᢏ⾡㛤Ⓨཬࡧࡑࡢࢩࢫࢸ᳨࣒ドࢆ㐍ࡵࡿ࡜࡜ࡶ
࡟㸪᪂ᙧែ⯟✵ᶵࡢタィᇶ┙ࢆᩚഛࡍࡿࡇ࡜࡛ᑗ᮶࡟Ώࡿᅜෆ⯟✵⏘ᴗࡢ➇தຊᙉ໬࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᑗ᮶⯟✵ᶵ࡟ᑐࡋ࡚⮬↛ᒙὶ⩼タィᢏ⾡ࢆ㐺⏝ࡋᦶ᧿᢬ᢠࢆపῶࡍࡿࡇ࡜࡟ࡼࡾ㸪ᥭᢠẚ 3%ྥୖࢆ㐩ᡂࡍࡿࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬ࡲࡓࡇࡢᩘ್┠ᶆࢆ㐩ᡂࡍࡿࡓࡵ㸪タィ࠾ࡼࡧゎᯒᢏ⾡ࡢ㧗⢭ᗘ࣭㧗ຠ⋡໬ࢆ⾜࠺ࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᑗ᮶᪑ᐈᶵࡢ⮬↛ᒙὶ⩼ࡢタィ࡟ࡣ㏫ၥ㢟タィἲࢆ㐺⏝ࡍࡿ㸬ࡇࡢ㏫ၥ㢟タィࡣணࡵᒙὶຠᯝࡀ㧗࠸ࡇ࡜ࡀᮇᚅࡉࢀࡿ⾲㠃ᅽຊศᕸ㸦┠ᶆᅽຊศᕸ㸧ࢆᐃࡵ㸪ࡑࡢ┠ᶆᅽຊศᕸࢆ㐩ᡂࡍࡿ⩼ᆺࢆタィࡍࡿᡭἲ࡛࠶ࡿ㸬タィࡉࢀࡓ⩼ᆺࡢᅽຊศᕸࡣCFDゎᯒ࡟ࡼࡗ࡚ồࡵࡽࢀࡿࡀ㸪ィ⟬㈇Ⲵࡢ㧗࠸CFDゎᯒ࠾ࡼࡧCFDゎᯒ⏝⮬ື᱁Ꮚ⏕ᡂ࡟ࢫࣃࢥࣥࢆ฼⏝ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᑗ᮶᪑ᐈᶵࢆタィࡍࡿ‽ഛ࡜ࡋ࡚㸪⌧⾜ᶵ࡟ᑐࡋ࡚⮬↛ᒙὶ⩼タィࢆ㐺⏝ࡋࡓ㸬ࡑࡢ⤖ᯝ㸪┠ᶆᅽຊศᕸࢆ㐩ᡂࡍࡿ⩼ࡢタィ࡟ᡂຌࡋࡓ㸬ࡲࡓタィຠ⋡ࢆ኱ᖜ࡟ᨵၿࡍࡿGUIࢩࢫࢸ࣒ࢆᵓ⠏ࡋࡓ㸬䠉㻠㻜䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 ⮬↛ᒙὶタィࢆ㐺⏝ࡋࡓཧ↷ᶵయᙧ≧
㸸Wing-body configuration applied natural laminar flow wing technology.
㻌࠙ィ⟬᝟ሗࠚ
1᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
4500ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
16ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 16ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣࡑࡢ௚1) ᐑᓮṇஓ㸸ࠕ㑄㡢㏿᪑ᐈᶵࡢ୺⩼ࡢ⮬↛ᒙὶタィࠖ㸪Ꮫ⩦㝔኱Ꮫ༞ᴗㄽᩥ,2016.
ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,576,102.24

SORA-PP

8,441.51

㻌
㻌
㻌

㻌

䠉㻠㻝䠉

SORA-LM

0.50

SORA-TPPHPC@JAXA2015㻌㻝㻣㻚㻌 Ỉ⣲฼⏝㧗㏿᥎㐍䝅䝇䝔䝮䛾◊✲㻌Research on High Speed Propulsion Systems using Hydrogen Fuel㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪⏣ཱྀ⚽அ(taguchi.hideyuki@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᮏ㒓⣲⾜(hongoh.motoyuki@jaxa.jp)᪩✄⏣኱Ꮫ኱Ꮫ㝔㸪ᮾ㔝 ᔞ(exalance@akane.waseda.jp)᪩✄⏣኱Ꮫ኱Ꮫ㝔㸪ᬀ㛫ṇ἞(hiruma.m@ruri.waseda.jp)᪩✄⏣኱Ꮫ㸪షᅭ ⣧(rocket.launch@ruri.waseda.jp)㻌 ஦ᴗࡢ┠ⓗx ᴟ㉸㡢㏿ࢱ࣮࣎ࢪ࢙ࢵࢺࡢ࢔ࣇࢱ࣮ࣂ࣮ࢼ⇞↝ᐇ㦂ࢆᐇ᪋ࡋ㸪ྍኚᶵᵓࡢືస࡟ࡼࡗ࡚᥎ຊࢆ᭱኱໬
ࡍࡿ࡜࡜ࡶ࡟㸪ᐇ㣕⾜ࢆ᝿ᐃࡋࡓ᥎ຊไᚚᐇドࢆ⾜࠺㸬x ᴟ㉸㡢㏿ᶵ࡜ᴟ㉸㡢㏿࢚ࣥࢪࣥࡢ┦஫ᖸ΅ࢆຍ࿡ࡋࡓᶵయ㸭᥎㐍⤫ྜไᚚᢏ⾡ࡢ☜❧࡟ྥࡅ࡚㸪ᴟ㉸㡢㏿⤫ྜไᚚᐇ㦂ᶵࡢไᚚ≉ᛶࢆྲྀᚓࡍࡿ㸬x ᴟ㉸㡢㏿ᐇ⏝ᶵࡢせồ௙ᵝࢆᐃ⩏ࡍࡿ࡜࡜ࡶ࡟㸪ᴟ㉸㡢㏿ࢱ࣮࣎ࢪ࢙ࢵࢺࡢ㣕⾜ᐇドࢆ⾜࠺ࡓࡵࡢ࢚
࢔ࣈ࣮ࣜࢨᐇ㦂ᶵࡢタィ௙ᵝࢆᥦ♧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᾮయỈ⣲⇞ᩱࢆ⏝࠸ࡓண෭᪉ᘧࡢᴟ㉸㡢㏿ࢱ࣮࣎ࢪ࢙ࢵࢺࡢ᥎ຊไᚚ᪉ἲ࡜ᶵయ㸭᥎㐍⤫ྜไᚚ᪉ἲࢆᐇドࡍࡿ࡜࡜ࡶ࡟㸪ᑗ᮶ࡢᐇ㦂ᶵ㸭ᐇ⏝ᶵࢩࢫࢸ࣒ࢆᥦ♧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᴟ㉸㡢㏿⤫ྜไᚚᐇ㦂ᶵࡢ✵ຊᛶ⬟࡟ࡘ࠸࡚㸪CFD࡛᥎⟬ࡋ㸪㢼Ὕᐇ㦂⤖ᯝ࡜ẚ㍑ࡍࡿࡇ࡜࡛ጇᙜᛶ
ࢆ☜ㄆࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
࣐ࢵࣁ 5 ࢡࣛࢫࡢᴟ㉸㡢㏿⤫ྜไᚚᐇ㦂ᶵ࡟ࡘ࠸࡚㸪ᴟ㉸㡢㏿㢼Ὕᐇ㦂࡜CFDゎᯒ࡟ࡼࡿ㧗㏄ゅ✵ຊᛶ⬟ࢆホ౯ࡋࡓ㸬䠉㻠㻞䠉

HPC@JAXA2015
㻌

㻌

㻌㻌

ᅗ 1 ᴟ㉸㡢㏿ᐇ㦂ᶵ ࣐ࢵࣁᩘศᕸ㸦࣐ࢵࣁ 5㸪㏄ゅ 15 ᗘ㸧㸸Hypersonic Experimental Aircraft, Mach number (Mach 5, AOA=15deg)㻌ᅗ2 ᴟ㉸㡢㏿ᐇ㦂ᶵ ᅽຊಀᩘศᕸ㸦࣐ࢵࣁ5㸪㏄ゅ15ᗘ㸧㸸Hypersonic Experimental Aircraft, Mach number (Mach 5, AOA=15deg)㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
0.5᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
12ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) ᮾ㔝㸪ᡭሯ㸪⏣ཱྀ㸪ᘅ㇂㸪ᮏ㒓㸪ྂ㈡㸪
ࠕᴟ㉸㡢㏿⤫ྜไᚚᐇ㦂ᶵࡢ✵ຊ≉ᛶホ౯ࠖ㸪㣕⾜ᶵࢩ࣏ࣥࢪ࢘
࣒ㅮ₇㞟㸪2015.
2) ᬀ㛫㸪ᡭሯ㸪⏣ཱྀ㸪ᮏ㒓, ᘅ㇂㸪ࠕ࢚࢔ࣈ࣮ࣜࢨᐇ㦂ᶵ࡟࠾ࡅࡿ࢙࣮࢘ࣈࣛ࢖ࢲ࣮⩼㐺⏝ࡢ✵ຊ᳨ウࠖ㸪Ᏹᐂ㍺㏦ࢩ࣏ࣥࢪ࣒࢘ㅮ₇㞟㸪2016.
3) ᮾ㔝㸪ᡭሯ㸪⏣ཱྀ㸪ᘅ㇂㸪ࠕᴟ㉸㡢㏿⤫ྜไᚚᐇ㦂ᶵࡢᶓ᪉ྥ✵ຊ≉ᛶホ౯ࠖ㸪Ᏹᐂ㍺㏦ࢩ࣏ࣥࢪ࣒࢘ㅮ
₇㞟㸪2016.
4) ᴟ㉸㡢㏿ᐇ㦂ᶵ࡟࠾ࡅࡿ࢙࣮࢘ࣈࣛ࢖ࢲ࣮⩼㐺⏝ࡢ᳨ウ㸦ᬀ㛫௚㸪➨59ᅇᏱᐂ⛉Ꮫᢏ⾡㐃ྜㅮ₇఍㸧
5) Evaluation of Waverider Derived Wing for Hypersonic Airbreathing Experimental Aircraft㸦ᬀ㛫௚㸪
7th Asia-Pacific International Symposium on Aerospace Technology㸧ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP319,147.11
䠉㻠㻟䠉SORA-LM

1,888.70

SORA-TPPHPC@JAXA2015㻌㻝㻤㻚㻌 㟼⢔㉸㡢㏿ᶵᢏ⾡䛾◊✲㛤Ⓨ㻌
Research on Silent Supersonic Transport Technology㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦஦ᴗ◊✲ࡢ♫ෆཷク㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᵓ㐀࣭」ྜᮦᢏ⾡◊✲ࣘࢽࢵࢺ㛗㸪ᒾᇼ ㇏(iwahori@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᵓ㐀࣭」ྜᮦᢏ⾡◊✲ࣘࢽࢵࢺ㸪㰺⸨೺୍(ksaitoh@chofu.jaxa.jp)ᰴᘧ఍♫ィ⟬ຊᏛ◊✲ࢭࣥࢱ࣮㸪ࢣ࢖ࣛࣥࢹ࢕ࢩࣗ ࣁ࣑ࢻࣞࢨ㻌 ஦ᴗࡢ┠ⓗ㉸㡢㏿ᶵ୺⩼࡟」ྜᮦࢆ㐺⏝ࡋࡓ㝿࡟✵ຊᙎᛶၥ㢟ࡀ⏕ࡌ࡞࠸ࡇ࡜ࢆ☜ㄆࡍࡿ㸬ࡲࡓࡣᏳᐃᛶࢆ☜ಖࡍࡿࡓࡵ࡟ᚲせ࡞᮲௳ࢆᥦ♧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ」ྜᮦ㐺⏝࡟ࡼࡾᵓ㐀㔜㔞ࢆ15㸣㍍ῶࡍࡿ㸬㸦㟼⢔㉸㡢㏿ᶵᢏ⾡࡟࠾ࡅࡿᵓ㐀㔜㔞㍍ῶ┠ᶆ㸧㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㠀⥺ᙧ✵ຊᙎᛶゎᯒᐇ᪋㸬㻌 ௒ᖺᗘࡢᡂᯝ
」ྜᮦ㐺⏝࡟ࡼࡾ✵ຊᙎᛶᛶ⬟ࡢຎ໬ࡀ࡞࠸ࡇ࡜ࢆ☜ㄆࡋࡓ㸬㻌㻌㻌㻌
ᅗ 1 ᅽຊศᕸ౛㸦Mach 0.98㸧
㸸Example of pressure distribution (Mach 0.98)
㻌㻌

䠉㻠㻠䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
20᫬㛫
ࢣ࣮ࢫᩘ㸸
10㹼20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
12㸪24㸪32ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]㻌5,307.09

SORA-PP㻌

5,672.56

㻌䠉㻠㻡䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻝㻥㻚㻌 㑄㡢㏿䝕䝹䝍⩼䛻䛚䛡䜛䝞䝣䜵䝑䝖⌧㇟䛾ᩘ್ゎᯒ㻌
Numerical analysis of buffet in transonic flow over a delta wing㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸ᮾி㎰ᕤ኱Ꮫ㸪ᒣ㇂ ᚭ(tyamaya@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ㑄㡢㏿㧗㏄ゅࢹࣝࢱ⩼ୖ࡟⏕ࡌࡿ㠀ᐃᖖ࡞⾪ᧁἼ᣺ື㸦ࣂࣇ࢙ࢵࢺ㸧ࢆᩘ್ィ⟬࡛෌⌧ࡋ㸪ᐃ㔞ⓗ࡟ホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ㑄㡢㏿㧗㏄ゅࢹࣝࢱ⩼ୖ࡟⏕ࡌࡿࣂࣇ࢙ࢵࢺࡢⓎ⏕᮲௳ࡢ᫂☜໬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭x 㠀ᐃᖖィ⟬࡟࠾ࡅࡿ኱ᐜ㔞ࢹ࣮ࢱࡢಖᏑ㸪࠾ࡼࡧィ⟬᫬㛫ࡢ▷⦰
x 㑄㡢㏿㧗㏄ゅࢹࣝࢱ⩼࿘ࡾ࡟࠾ࡅࡿ3ḟඖὶࢀሙࡢྍど໬㻌 ௒ᖺᗘࡢᡂᯝRANS㸪DES ࢆ⏝࠸ࡓィ⟬ࢆ⾜ࡗࡓ⤖ᯝ㸪㠀ᐃᖖ⌧㇟࡛࠶ࡿࣂࣇ࢙ࢵࢺࡢ෌⌧࡟ࡣ DES ィ⟬ࡀ᭷ຠ࡛࠶ࡿ࡜ゝ࠼ࡓ㸬ࡉࡽ࡟㸪ࢹࣝࢱ⩼ୖ㠃ࡢᅽຊಀᩘศᕸࡣᐇ㦂್࡜Ⰻ࠸୍⮴ࢆ♧ࡋࡓ㸬䠉㻠㻢䠉

HPC@JAXA2015
㻌㻌
Experimental data
RANS - SA
RANS - SSTDES㻌ᅗ1 ࢹࣝࢱ⩼ୖ㠃ࡢᅽຊಀᩘศᕸ
㸸 Pressure coefficient distribution of a delta wing top surface㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
168㹼336᫬㛫㸦1㹼2㐌㛫㸧
ࢣ࣮ࢫᩘ㸸
3ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸384ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣࡑࡢ௚1) ᒣ㇂ ᚭ㸪͆㑄㡢㏿ࢹࣝࢱ⩼࡟࠾ࡅࡿࣂࣇ࢙ࢵࢺ⌧㇟ࡢᩘ್ゎᯒ͇㸪ᮾி㎰ᕤ኱Ꮫ༞ᴗㄽᩥ(2016)㸪
pp.58㸬

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]908,491.18

SORA-PP30,174.29

䠉㻠㻣䠉SORA-LM

4,045.11

SORA-TPPHPC@JAXA2015㻌㻞㻜㻚㻌 㑄㡢㏿䝺䜲䝜䝹䝈ᩘຠᯝヨ㦂ᢏ⾡㻌Wind Tunnel Test Techniques for Reynolds Number Scaling Effect for Transonic Transport㻌 ஦ᴗᙧែ
⯟✵ᮏ㒊஦ᴗ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ఀ⸨ ೺(ito@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪୰໭࿴அ(nakakita@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ಖỤ࠿࡞Ꮚ(yasue@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ୖ㔝 ┿(ueno@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪ྂ㈡ᫍ࿃(skoga@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪஫஭᲍⤮(tagai@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᑠᯘ ⯟(wkoba@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᕝཱྀᜨᏊ(kawaguchi.keiko@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
CFDࢆά⏝ࡋࡓ㢼Ὕヨ㦂ࢹ࣮ࢱࡢྛ✀⿵ṇᢏ⾡ࢆᵓ⠏ࡋ㸪JAXA2m2m㑄㡢㏿㢼Ὕ࡛ྲྀᚓࡋࡓࢹ࣮
ࢱ࡟ᑐࡋ࡚㸪㧗ࣞ࢖ࣀࣝࢬᩘ㢼Ὕࢹ࣮ࢱ࡜ࡢ㧗࠸஫᥮ᛶࢆᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᶍᆺኚᙧຠᯝ⿵ṇ࠾ࡼࡧࣞ࢖ࣀࣝࢬᩘຠᯝ⿵ṇᢏ⾡ࢆ㐺⏝ࡋ࡚㸪JAXA2m2m 㑄㡢㏿㢼Ὕ࡛ྲྀᚓࡋ
ࡓ NASA-CRM ᶍᆺࡢࢹ࣮ࢱ࡜㸪Ḣ⡿ࡢ㧗ࣞ࢖ࣀࣝࢬᩘ㢼Ὕ࡛ྲྀᚓࡋࡓࢹ࣮ࢱࢆྠ୍᮲௳ୗ࡛ẚ㍑࡛ࡁ
ࡿࡼ࠺࡟ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᶍᆺኚᙧຠᯝ⿵ṇ࡛ᚲせ࡜࡞ࡿNASA-CRMᶍᆺ࿘ࡾࡢCFDゎᯒࢆᐇ⾜ࡍࡿ㝿࡟฼⏝ࡍࡿ㸬ࡲࡓ㸪᪂ࡓ࡟㛤Ⓨࡋࡓ᢬ᢠศゎࢆ฼⏝ࡋࡓࣞ࢖ࣀࣝࢬᩘຠᯝ⿵ṇ࡛ᚲせ࡜࡞ࡿ㸪NASA-CRMᶍᆺ࿘ࡾࡢCFDゎᯒ⤖ᯝࡢ᢬ᢠศゎࢆᐇ⾜ࡍࡿ㝿࡟฼⏝ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
᪤ᏑࡢᡭἲࢆᨵⰋࡋ࡚ᶍᆺኚᙧ㸪ㄏᑟ᢬ᢠ㸪㐀Ἴ᢬ᢠࢆ⪃៖ࡍࡿࡇ࡜࡛㸪ᗈ࠸ Re ᩘ⠊ᅖ
㸦5, 20, 30e6㸧㸪ᗈ࠸㏄ゅ⠊ᅖ㸦-1ࠥ5㸧࡛㸪ᴫࡡ 15 ࢝࢘ࣥࢺࡢ⢭ᗘ࡛⿵ṇࡀྍ⬟࡟࡞ࡗࡓ㸬ࡇࢀ࡟ࡼࡾ㸪㧗౯࡞㧗ࣞ࢖ࣀࣝࢬᩘ㢼Ὕヨ㦂⤖ᯝ࡜ࡢࢩ࣮࣒ࣞࢫ࡞ࢹ࣮ࢱ⼥ྜࡀྍ⬟࡟࡞ࡾ㸪✵ຊ≉ᛶྲྀᚓࢶ࣮ࣝࡢ࣋ࢫࢺ࣑ࢵࢡ
ࢫࡀᐇ⌧࡛ࡁࡿ㸬䠉㻠㻤䠉

HPC@JAXA2015
㻌㻌ᅗ 1 JAXA 2m2m 㑄㡢㏿㢼Ὕ㸦Re㸻2e6㸧࠾ࡼࡧ National Transonic Facility㸦Re㸻5e6㹼30e6㸧࡛ྲྀᚓࡋࡓ NASA-CRM 㢼Ὕヨ㦂ᶍᆺࡢ᢬ᢠಀᩘࢹ࣮ࢱ࡬ࡢ Re ᩘ⿵ṇ㐺⏝⤖ᯝ㸸Results of Reynolds number correction for NASA-CRM model drag coefficient at JAXA
2m×2m Transonic Wind Tunnel (Re=2e6) and National Transonic Facility (Re=5e6㹼30e6)㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

⣙10᫬㛫
⣙100ࢣ࣮ࢫ
96ࣉࣟࢭࢫ1ࢥ࢔
MPI
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) ྂ㈡ᫍ࿃㸪ୖ㔝 ┿㸪ಖỤ࠿࡞Ꮚ㸪
͆CFDࢆ⏝࠸ࡓNASA-CRM3ḟඖᙧ≧ࡢ㑄㡢㏿ࣞ࢖ࣀࣝࢬᩘຠᯝ᳨
ド㸪͇᪥ᮏ⯟✵ᏱᐂᏛ఍➨46ᮇᐃ᫬♫ဨ⥲఍࠾ࡼࡧᖺ఍ㅮ₇఍㸪Apr. 2015.
2) ᒣᓮ ΅㸪ᑠᯘ ⯟㸪ୖ㔝 ┿㸪͆஧ḟඖ⩼࿘ࡾࡢᩘ್ὶయゎᯒ࡟࠾ࡅࡿ㛫᥋ࣞ࢖ࣀࣝࢬᩘຠᯝࡢ᳨ウ㸪͇➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢩ࣏ࣥࢪ࣒࢘, July 2015.
3) ᯇ㔝 㝯㸪▼㯮ྑᜤ㸪ụ⏣ᖾ୍㸪Ⳣཎṇ㝯㸪ୖ㔝 ┿㸪͆ࣉࣛࢬ࣐࢔ࢡࢳ࢚࣮ࣗࢱࢆ⏝࠸ࡓ஘ὶቃ⏺ᒙ㏿ᗘศᕸไᚚ㸪
͇ ➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢩ࣏ࣥࢪ࣒࢘㸪July 2015.
4) ୖ㔝 ┿, ಖỤ࠿࡞Ꮚ, ྂ㈡ᫍ࿃, ͆㑄㡢㏿ࣞ࢖ࣀࣝࢬᩘຠᯝヨ㦂ᢏ⾡ࡢ⌧≧࡜ᒎᮃ,͇ ➨47ᅇὶయຊᏛ
ㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢩ࣏ࣥࢪ࣒࢘㸪 July 2015.
5) ୖ㔝 ┿㸪ྂ㈡ᫍ࿃㸪ಖỤ࠿࡞Ꮚ㸪͆JAXA࡟࠾ࡅࡿ᪑ᐈᶵᙧ≧ࣞ࢖ࣀࣝࢬᩘࢫࢣ࣮ࣜࣥࢢᢏ⾡◊✲㸪͇
➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢩ࣏ࣥࢪ࣒࢘㸪July 2015.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

604,314.12

䠉㻠㻥䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻞㻝㻚㻌 ㉸㡢㏿ᶵ䛾⮬↛ᒙὶ⩼タィᢏ⾡䛾◊✲㻌Natural Laminar Flow Wing Design of Supersonic Transport㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪∾㔝ዲ࿴(makino@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᚨᕝ┤Ꮚ(tokugawa.naoko@jaxa.jp)ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪▼ᕝᩗᥖ(hiroaki@chofu.jaxa.jp)ᰴᘧ఍♫ࢺࣛ࢖࢔ࣥࢢࣝ㸪ୖ⏣Ⰻ✄(yueda@chofu.jaxa.jp)Ꮫ⩦㝔኱Ꮫ㸪ᑠụᑑᐉ(koicars@chofu.jaxa.jp)ᮾி኱Ꮫ኱Ꮫ㝔㸪᫓᪥ὒᖹ(ykasuga@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗḟୡ௦ࡢ㉸㡢㏿᪑ᐈᶵࡢᐇ⌧࡟࠾ࡅࡿᚲ㡲ࡢㄢ㢟࡛࠶ࡿ⇞㈝ࡢྥୖ࡟ࡣ✵Ẽ᢬ᢠࡢపῶࡍࡿࡇ࡜ࡀຠ
ᯝⓗ࡛࠶ࡿ㸬ࡇࡇ࡛ࡣ㸪✵Ẽ᢬ᢠࡢ࠺ࡕᦶ᧿᢬ᢠపῶຠᯝࡀᮇᚅ࡛ࡁࡿ⮬↛ᒙὶࢆᐇᶵᑍἲࡢ㧗 Re ᩘ᮲௳ୗ࡟࠾࠸࡚ᐇ⌧ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᑠᆺ㉸㡢㏿᪑ᐈᶵࡢ⇞ᩱᾘ㈝๐ῶ࡟౪ࡍࡿࡓࡵ㸪ᕠ⯟ᥭᢠẚࢆ 8.0 ௨ୖ࡟ࡍࡿࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬ࡲࡓࡇࡢᩘ್┠ᶆࢆ㐩ᡂࡍࡿࡓࡵ㸪タィ࠾ࡼࡧゎᯒᢏ⾡ࡢ㧗⢭ᗘ࣭㧗ຠ⋡໬ࢆ⾜࠺ࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㉸㡢㏿⮬↛ᒙὶ⩼ࡢタィ࡟ࡣ㉸㡢㏿㏫ၥ㢟タィἲࢆ㐺⏝ࡋࡓ㸬ࡇࡢ㏫ၥ㢟タィࡣணࡵᒙὶຠᯝࡀ㧗࠸ࡇ࡜ࡀᮇᚅࡉࢀࡿ⾲㠃ᅽຊศᕸ㸦┠ᶆᅽຊศᕸ㸧ࢆᐃࡵ㸪ࡑࡢ┠ᶆᅽຊศᕸࢆ㐩ᡂࡍࡿ⩼ᆺࢆタィࡍࡿᡭἲ࡛࠶ࡿ㸬タィࡉࢀࡓ⩼ᆺࡢᅽຊศᕸࡣCFDゎᯒ࡟ࡼࡗ࡚ồࡵࡽࢀࡿࡀ㸪ィ⟬㈇Ⲵࡢ㧗࠸CFDゎᯒ࠾ࡼࡧCFDゎᯒ⏝⮬ື᱁Ꮚ⏕ᡂ࡟ࢫࣃࢥࣥࢆ฼⏝ࡋࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᑠᆺ㉸㡢㏿᪑ᐈᶵ࡟⮬↛ᒙὶ⩼タィࢆ㐺⏝ࡋ㸪ᕠ⯟≧ែ࡟࠾࠸࡚0.30y/s  0.90ࡢ⠊ᅖ࡛ᖹᆒ53%Cࡢᒙὶ໬ࢆ㐩ᡂࡋࡓ㸬ࡑࡢ⤖ᯝ㸪ᦶ᧿᢬ᢠࡀ඲㠃஘ὶ࡟ẚ࡭4.7࢝࢘ࣥࢺ㸪඲᢬ᢠࡀ3.9࢝࢘ࣥࢺపῶࡋ㸪ᥭᢠẚࡀ2.4㸣ྥୖࡋࡓ㸬ࡲࡓ⩼ཌ࠾ࡼࡧࢫࣃ࣮ࣥࣟࢻࢆᣊ᮰ࡍࡿᡭἲࡶ⋓ᚓࡋࡓ㸬䠉㻡㻜䠉

HPC@JAXA2015㻌㻌
ᅗ1 ⮬↛ᒙὶ⩼タィࢆ㐺⏝ࡋࡓQSST㸸QSST applied natural laminar flow wing design㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10ศ㹼1᫬㛫ࢣ࣮ࢫᩘ㸸
1150ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸8㹼16ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8㹼32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) ▼ᕝᩗᥖࡽ㸸ࠕ㉸㡢㏿⮬↛ᒙὶ⩼࡟ᑐࡍࡿ㏫ၥ㢟タィࢩࢫࢸ࣒ࡢᵓ⠏ࠖ, ᪥ᮏ⯟✵ᏱᐂᏛ఍ㄽᩥ㞟 ཷ⌮,2016.
2) Tokugawa, N. et al.:͆Pressure Gradient Effects on Supersonic Transition over Axisymmetric Bodies
at Incidence”, AIAA Journal, 53, PP. 3737-375, 2015.
ᰝㄞ࡞ࡋㄽᩥ3) ∵ᒣ๢࿃ࡽ㸸ࠕᑠᆺ㉸㡢㏿᪑ᐈᶵࡢ⮬↛ᒙὶ⩼タィࠖ,JAXA-RR accepted.
ཱྀ㢌Ⓨ⾲4) ▼ᕝᩗᥖࡽ㸸ࠕᑠᆺ㉸㡢㏿ᐇ㦂ᶵ㸦NEXST-1㸧ࡢ⮬↛ᒙὶ⩼࡟ᑐࡍࡿᨵၿタィࠖ㸪➨47ᅇὶຊㅮ₇఍㸪2015㸬5) ∵ᒣ๢࿃ࡽ㸸ࠕ㉸㡢㏿⮬↛ᒙὶ⩼ᐇ⌧࡟ྥࡅࡓ┠ᶆᅽຊศᕸࡢᨵၿࠖ
㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪2015㸬6) ∵ᒣ๢࿃㸸ࠕ⩼ཌᣊ᮰ࢆㄢࡋࡓ㉸㡢㏿⮬↛ᒙὶ⩼ࡢ㏫ၥ㢟タィࠖ㸪᪥ᮏ⯟✵ᏱᐂᏛ఍໭㒊ᨭ㒊2016ᖺㅮ
₇఍㸪2016㸬ࡑࡢ௚7) ᑠụᑑᐅ㸸ࠕᚋ⦕➃఩⨨ᣊ᮰ࡶࡋࡃࡣ⩼ཌᣊ᮰ࢆㄢࡋࡓ⮬↛ᒙὶ⩼タィࠖ㸪Ꮫ⩦㝔኱Ꮫ༞ᴗㄽᩥ㸪2016㸬8) ∵ᒣ๢࿃㸸ࠕᑠᆺ㉸㡢㏿᪑ᐈᶵࡢ⮬↛ᒙὶ⩼タィࠖ㸪Ꮫ⩦㝔኱Ꮫ኱Ꮫ㝔ಟኈㄽᩥ㸪2016㸬ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]354,267.88

SORA-PP㻌䠉㻡㻝䠉

853.59SORA-LM

SORA-TPPHPC@JAXA2015㻌㻞㻞㻚㻌 ᴟ㉸㡢㏿䜲䞁䝔䞊䜽䛻㛵䛩䜛ᩘ್ⓗ◊✲㻌
Numerical Study of Hypersonic Intake㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸᪩✄⏣኱Ꮫ኱Ꮫ㝔㸪ᑠᯘ ⯟(kbysw2357@akane.waseda.jp)᪩✄⏣኱Ꮫ኱Ꮫ㝔㸪㛗ᑿ㻌 ᚿ(n-tsukasa372@ruri.waseda.jp)㻌 ஦ᴗࡢ┠ⓗx ᶵయᖸ΅ࢆ⪃៖ࡋࡓ࢖ࣥࢸ࣮ࢡࡢᛶ⬟ㄪᰝ㸬x ࢖ࣥࢸ࣮ࢡࣂࢬࡢᢚไ᪉ἲࡢ☜❧㸬㻌 ஦ᴗࡢ┠ᶆx ᭱㐺࡞ᶵయᙧ≧ࡢタィ㸬
x య✚せ⣲ࡢ࢖ࣥࢸ࣮ࢡࣂࢬⓎ⏕࡬ࡢᙳ㡪ࡢゎ᫂㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㢼Ὕᐇ㦂࡛ࡣ㏻㢼࡛ࡁ࡞࠸᮲௳࡛ࡢࢩ࣑࣮ࣗࣞࢩࣙࣥࡸ㸪ෆ㒊ࡢὶࢀሙࡢྍど໬࡞࡝࡟ࡼࡿ⌧㇟ࡢゎᯒ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ࢚ࣥࢪࣥࢆᶵయഃ㒊࡟ᦚ㍕ࡋࡓሙྜ㸪⩼ࡢὶࢀ࡜ᖸ΅ࡍࡿࡇ࡜࡛࢖ࣥࢸ࣮ࢡὶධࡀኚ໬ࡋ㸪ᛶ⬟ࡣὶ㔞㸪ᅽຊ࡜ࡶ࡟ 10㸣⛬ᗘపୗࡍࡿ㸬x ࢖ࣥࢸ࣮ࢡᚋ㒊ࡢࢲࢡࢺయ✚ࢆᑠࡉࡃ㸪୰㛫㒊ࡢᢳẼࣉࣞࢼ࣒ᐊయ✚ࢆ኱ࡁࡃࡍࡿࡇ࡜࡛ࣂࢬࡢⓎ⏕ࢆᢚไࡍࡿࡇ࡜ࡀ࡛ࡁࡿ㸬䠉㻡㻞䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 ࢖ࣥࢸ࣮ࢡࣂࢬࡢᵝᏊ㸸Buzz cycle㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10᫬㛫
ࢣ࣮ࢫᩘ㸸
40ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸48ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ࠕ࢖ࣥࢸ࣮ࢡࣂࢬࡢⓎ⏕࡟࠾ࡅࡿࢲࢡࢺ࣭ᢳẼࣉࣞࢼ࣒ᐊయ✚ࡢᙳ㡪ࠖ➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ
࣒࢘ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]240,986.87

SORA-PP

45,256.91

䠉㻡㻟䠉SORA-LM

966.56

SORA-TPPHPC@JAXA2015㻌㻞㻟㻚㻌 ప䝋䝙䝑䜽䝤䞊䝮タィᴫᛕᐇドᶵ䠖㻰㻙㻿㻱㻺㻰㻏㻞 䛾ᩘ್ゎᯒ㻌
Numerical Analysis of the D-SEND#2
㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 D-SEND ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪∾㔝ዲ࿴(makino@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 D-SEND ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ྜྷ⏣᠇ྖ(yoshida.kenji@jaxa.jp)ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪▼ᕝᩗᥖ(hiroaki@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪∾ᮏ༟ஓ(makitaku@chofu.jaxa.jp)ᰴᘧ఍♫ TOUA㸪⟍⏤㔛Ꮚ(kakei221@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶⯟✵㍺㏦ࡢࣈ࣮ࣞࢡࢫ࣮ࣝ࡜ࡋ࡚ࡢ㉸㡢㏿᪑ᐈᶵࡢᐇ⌧ࢆ┠ᣦࡋ࡚ࠕ㟼࠿࡞㉸㡢㏿᪑ᐈᶵࠖࡢᐇ
⌧࡟ᚲせ࡞㘽ᢏ⾡ࢆ⋓ᚓࡋ㸪⯟✵ᶵ㛤Ⓨࡢඛᑟᙺ࡜ࡋ࡚㸪⯟✵ᶵ〇㐀⏘ᴗࡢⓎᒎ࡜ᑗ᮶⯟✵㍺㏦ࡢࣈࣞ
࣮ࢡࢫ࣮ࣝ࡟㈉⊩ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆࢯࢽࢵࢡࣈ࣮࣒ᙉᗘࢆ༙ῶࡋᚓࡿపࢯࢽࢵࢡࣈ࣮࣒タィᢏ⾡ࢆᐇドࡋ࡚ᢏ⾡ඃ఩ᛶࢆ♧ࡍ࡜࡜ࡶ࡟㸪ᑠᆺ㉸㡢㏿᪑ᐈᶵࡢᐇ⌧ࢆྍ⬟࡜ࡍࡿᢏ⾡┠ᶆ㸦ձపࣈ࣮࣒タィᢏ⾡ࡢᐇド㸪ղᑠᆺ SST ᢏ⾡┠ᶆ㐩ᡂ(ࣈ࣮࣒༙ῶ㸪㦁㡢పῶ㸪᢬ᢠపῶ㸪㍍㔞໬)㸪ճ↓ேᶵᢏ⾡ࡢᐇド㸧ࢆ㐩ᡂࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
పࢯࢽࢵࢡࣈ࣮࣒タィᴫᛕᐇドᶵ㸸D-SEND#2ࡢ㣕⾜ヨ㦂ࡣ2015ᖺ7᭶࡟ࢫ࢙࣮࢘ࢹࣥࡢ࢚ࢫࣞࣥࢪ
ᐇ㦂ሙ࡛ᐇ᪋ࡉࢀࡓ㸬㣕⾜ヨ㦂࡟࠶ࡓࡾヨ㦂᫬ࡢ᮲௳࡟࠾ࡅࡿᐇ㦂ᶵࡲࢃࡾࡢ✵ຊ≉ᛶࡸࢯࢽࢵࢡࣈ࣮
࣒ࡢ᥎⟬㸪ࡲࡓヨ㦂ᚋࡢヨ㦂⤖ᯝࡢ᳨ドࡣCFDゎᯒࡸ㡢㡪ఏ᧛ゎᯒ࡞࡝ࡢᩘ್ィ⟬ࢆ㧗⢭ᗘ࠿ࡘ㧗㏿࡛
⾜࠺ᚲせࡀ࠶ࡿ㸬ୖグࡢゎᯒࢆ㧗⢭ᗘ࠿ࡘ㧗㏿࡟⾜࠺ࡓࡵ࡟ࢫࣃࢥࣥࢆ฼⏝ࡋࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
2015ᖺ7᭶࡟ࢫ࢙࣮࢘ࢹࣥࡢ࢚ࢫࣞࣥࢪᐇ㦂ሙ࡛ᐇ᪋ࡉࢀࡓ㣕⾜ヨ㦂࡛ࡣ㸪タィⅬࡔࡅ࡛࡞ࡃ㠀タィⅬ
࡞࡝ᵝࠎ࡞≧ែ࡛Ⓨ⏕ࡋࡓࢯࢽࢵࢡࣈ࣮࣒ࡢィ ࡟ᡂຌࡋ㸪ࡑࢀࡒࢀࡢᶵయᙧ≧࠾ࡼࡧᐇ㦂᮲௳࡟࠾ࡅ
ࡿᩘ್ゎᯒ࠿ࡽ࡯ࡰண᝿࡝࠾ࡾࡢࢯࢽࢵࢡࣈ࣮࣒ᙉᗘ࡛࠶ࡿࡇ࡜ࡀ᳨ドࡉࢀ㸪పࢯࢽࢵࢡࣈ࣮࣒タィᢏ⾡ࢆᐇドࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬ࡲࡓィ ࡉࢀࡓࢯࢽࢵࢡࣈ࣮࣒Ἴᙧࡣண᝿࡜ⱝᖸ␗࡞ࡿἼᙧ࡛࠶ࡿࡇ࡜ࡶ
☜ㄆࡉࢀ㸪ࡑࢀࡽࡢཎᅉࢆ✲᫂ࡍࡿࡓࡵ࡟ࡉࡽ࡟㏣ຍࡢCFDゎᯒࢆ⾜࠸㸪ࡑࡢCFDゎᯒ⤖ᯝࢆ⏝࠸ࡓ㡢㡪ఏ᧛ゎᯒࢆ㏻ࡋ࡚㸪ࡑࡢ୺せᅉࡀ኱Ẽ஘ὶ࡟ࡼࡿࡶࡢ࡛࠶ࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬䠉㻡㻠䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 㣕⾜ヨ㦂᮲௳ࡢ௜ຍ≀ࡘࡁD-SEND#2ᐇ㦂ᶵࡲࢃࡾࡢCpศᕸ㸸Cp distribution of the D-SEND#2 on the flight condition with additional parts㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
3᫬㛫
ࢣ࣮ࢫᩘ㸸
50ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
15㹼200ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4㹼32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) ྜྷ⏣᠇ྖ㸪ᮏ⏣㞞ஂ㸪ࠕD-SENDࣉࣟࢪ࢙ࢡࢺࡢ඲యᴫせࠖ㸪᪥ᮏ⯟✵ᏱᐂᏛ఍ㄅ㸪Vol.64, No.1, 2016ཱྀ㢌Ⓨ⾲2) ∾㔝ዲ࿴㸪஧ᐑဴḟ㑻㸪
ࠕD-SEND#2✵ຊ≉ᛶࣔࢹࣝࡢホ౯ࠖ㸪᪥ᮏ⯟✵ᏱᐂᏛ఍47ᮇᖺ఍ㅮ₇఍㸪2016.
3) ∾㔝ዲ࿴㸪㔠᳃ṇྐ㸪▼ᕝᩗᥖ㸪
ࠕD-SEND#2పࣈ࣮࣒タィࢥࣥࢭࣉࢺ᳨ドࠖ㸪᪥ᮏ⯟✵ᏱᐂᏛ఍47ᮇ
ᖺ఍ㅮ₇఍㸪2016.
ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]133,503.40

SORA-PP



㻌

䠉㻡㻡䠉

SORA-LM

1.09

SORA-TPPHPC@JAXA2015㻌㻞㻠㻚㻌 䝕䝆䝍䝹㻛䜰䝘䝻䜾䞉䝝䜲䝤䝸䝑䝗㢼Ὕ䝅䝇䝔䝮㐠⏝㻌
System Operation of the Digital/Analog-Hybrid Wind Tunnel (DAHWIN)㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ࢩࢫࢸ࣒㐠⏝㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪὾ᮏ㻌 ⁠(hama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪ཱྀ▼ ⱱ(shigeruk@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪㉺ᬛᗣᾈ(ochiy@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
JAXA ࡀ㛤Ⓨࡋࡓࢩࢫࢸ࣒ࠕࢹࢪࢱࣝ/࢔ࢼࣟࢢ࣭ࣁ࢖ࣈࣜࢵࢻ㢼Ὕ㸦DAHWIN㸧ࠖࡢ㐠⏝ࢆ㏻ࡌ࡚㸪㢼Ὕヨ㦂㸦EFD㸧࡜ CFD ࡜ࡢࢥࣥ࢝ࣞࣥࢺ࡞㐃ᦠࢆᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆDAHWIN ࡢㅖᶵ⬟㸦ࣃ࣓ࣛࢺࣜࢵࢡ CFD ゎᯒ㸪㢼ヨィ⏬タᐃᨭ᥼㸪㢼ヨࣔࢽࢱࣜࣥࢢ㸪㢼ヨ/CFD⤫ྜྍど໬࣭ศᯒ㸪௚㸧ࢆ࣮ࣘࢨ࡟ᥦ౪ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭DAHWINࡢㅖᶵ⬟୰㸪CFD㛵㐃ᶵ⬟㸦ࣃ࣓ࣛࢺࣜࢵࢡCFDゎᯒ㸪㢼ヨᑐᛂヲ⣽CFD㸪ὶయᵓ㐀㐃ᡂゎᯒ㸪㢼Ὕ୸ࡈ࡜ゎᯒ➼㸧ࢆᐇ᪋ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࢩࢫࢸ࣒ࢆ JAXA 2m2m 㑄㡢㏿㢼Ὕ࡟࠾ࡅࡿ㢼Ὕヨ㦂㸦ィ 10 ௳㸧࡟㐺⏝ࡍࡿ࡜ඹ࡟㸪ࣃ࣓ࣛࢺࣜ
ࢵࢡ CFD ゎᯒ㸪㢼Ὕ୸ࡈ࡜ゎᯒ➼ࡢㅖᶵ⬟ࢆά⏝ࡋࡓ㸬ࡲࡓ㸪SORA-PP ࡟ຍ࠼࡚ SORA-LM ࠾ࡼࡧ
SORA-MA ࢆ㑅ᢥ࣭ᐇ⾜࡛ࡁࡿࡼ࠺࡟ࢩࢫࢸ࣒ࡢᨵಟࢆ⾜ࡗࡓ㸬ࡉࡽ࡟㸪CFD ゎᯒᶵ⬟ࡢࣉ࣏ࣜࢫࢺ㛵㐃ฎ⌮ࢆ㸪ィ⟬ࣀ࣮ࢻ㸦ࣂࢵࢳࢪࣙࣈᙧᘧ㸧࡟ࡼࡾᐇ⾜࡛ࡁࡿࡼ࠺࡟ࢩࢫࢸ࣒ࡢᨵಟࢆ⾜ࡗࡓ㸬䠉㻡㻢䠉

HPC@JAXA2015
㻌㻌
ᅗ1 DAHWIN஦๓CFD᮲௳タᐃ⏬㠃㸸Pre-CFD GUI of DAHWIN㻌㻌
ᅗ2 NASA CRMᶍᆺ஦๓CFDゎᯒ㸦✵㛫ࢭࣝᩘ5000୓㸧㸸Pre-CFD Result of NASA Common Research Model㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸
䠉㻡㻣䠉

27᫬㛫
10ࢣ࣮ࢫ
192ࣉࣟࢭࢫ1ࢥ࢔
MPI࡞ࡋ
SORA-MA㸪SORA-PP㸪SORA-LM

HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]366,953.31

SORA-PP

23,490.74

䠉㻡㻤䠉SORA-LM

1,385.44

SORA-TPPHPC@JAXA2015㻌㻞㻡㻚㻌 ⇞↝ჾゎᯒ䛻㛵䛩䜛◊✲㻌Research on combustor simulation㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪⁁ῲὈᐶ(mizo@chofu.jaxa.jp)ᵓᡂဨ㸸᪩✄⏣኱Ꮫ㸪ᒣᮏጲᏊ(himeko@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ⯟✵⏝ࢫࢸ࣮ࢪࣥࢢᆺ⇞↝ჾࡢ࢞ࢫ≧᭷ᐖ᤼ฟ≀㸦CO㸪NO ࡞࡝㸧ࢆపῶࡉࡏࡿࡇ࡜㸬㻌 ஦ᴗࡢ┠ᶆึᮇ⢏ᚄࡢ㐪࠸ࡀ⇞↝ჾฟཱྀ࡟࠾ࡅࡿ᤼ฟ≀≉ᛶ࡟୚࠼ࡿᙳ㡪࡟ࡘ࠸࡚ LES ゎᯒࢆ⏝࠸࡚ㄪᰝࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
⇕ὶయゎᯒࢯࣇࢺ࢙࢘࢔FFR㸦NuFD/FrontFlowRed㸧ࢆ⏝࠸㸪ᵝࠎ࡞ึᮇ⢏ᚄࡢ᮲௳ࢆ୚࠼㸪LESゎᯒࢆ⾜࠺㸬㻌 ௒ᖺᗘࡢᡂᯝ
ึᮇ⢏ᚄࢆ20㸪30㸪40[μm]࡜ࡋ㸪⇞↝ሙࡢゎᯒࢆ⾜ࡗࡓ࡜ࡇࢁ㸪NOࡢ᤼ฟಀᩘࡀ0.624㸪0.701㸪1.032
࡜࡞ࡿ⤖ᯝࢆᚓࡓ㸬ࡲࡓ㸪ྛ⣲཯ᛂ࡟ࡼࡿ໬Ꮫ✀ࡢ⏕ᡂ㏿ᗘࡢẚ㍑ࢆ⾜࠸㸪40[μm]⢏ᚄ᮲௳࡟࠾ࡅࡿ෌
ᚠ⎔㡿ᇦࡢᙧᡂ࡜NO⏕ᡂ࣓࢝ࢽࢬ࣒ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬㻌㻌

ᅗ1 ⇞↝ᐊෆὶ㏿ศᕸ㸦40[μm]㸧
㸸Velocity distribution in a chamber㸦40[μm]㸧

㻌

䠉㻡㻥䠉

㻌

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1,200,000[s]
ࢣ࣮ࢫᩘ㸸
4ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸160ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

624,994.84

359.97㻌㻌䠉㻢㻜䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻞㻢㻚㻌 㠀ᵓ㐀 㻯㻲㻰 䝁䞊䝗䛻䜘䜛䜻䝱䝡䝔䜱㡢㡪᣺ືண 䛻㛵䛩䜛◊✲㻌Research on prediction of cavity acoustic resonance㻌 ஦ᴗᙧែ
ඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪▼⏣ ᓫ(tishida@chofu.jaxa.jp)୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪ྜྷᮏ⛱୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪௒஭࿴ᏹ
୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪すᮧಙభ୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪▼ᕝ຾฼㻌 ஦ᴗࡢ┠ⓗ⏘ᴗ⏺࡟࠾ࡅࡿ FaSTAR ࡢᐇ⏝໬ࢆಁ㐍ࡍࡿࡓࡵ㸪௻ᴗ࡜㐃ᦠࡋ㸪௦⾲ⓗ࡞ㄢ㢟࡟ᑐࡍࡿ᳨ドࢆඹྠ࡛ᐇ᪋ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
FaSTAR ࡢ㠀ᐃᖖゎᯒࡢ᳨ド࡜ࡋ࡚㸪࢟ࣕࣅࢸ࢕㡢㡪᣺ືၥ㢟࡟ྲྀࡾ⤌ࡳ㸪ᐇ㦂࡜ࡢẚ㍑ࢆ⾜࠺㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㠀ᐃᖖゎᯒ࡛ࡣ㸪ィ⟬ࢥࢫࢺࡀ኱ࡁ࡞ၥ㢟࡛࠶ࡾ㸪ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡛㸪ึࡵ࡚ᐇ⏝ⓗ࡞ゎᯒࡀྍ⬟࡜࡞ࡿ㸬1ࢣ࣮ࢫࢆ1᪥௨ୗ࡛ᐇ᪋ࡍࡿࡇ࡜ࢆᛕ㢌࡟㸪᳨ドࢆ㐍ࡵ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
㠀ᐃᖖィ⟬࡛ᚓࡽࢀࡓ㡢㡪ࣞ࣋ࣝࡣ㸪ᐇ㦂࡜Ⰻ࠸୍⮴ࢆ♧ࡋ࡚࠸ࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬௒ᚋ㸪」㞧ᙧ≧ࡢゎᯒࡸ㸪࣓࢝ࢽࢬ࣒ࡢゎ᫂ࢆ┠ᶆ࡟㸪ࡉࡽ࡟ゎᯒࢆ㐍ࡵࡿணᐃ࡛࠶ࡿ㸬䠉㻢㻝䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 ࢟ࣕࣅࢸ࢕ゎᯒࡢ౛
㸸Example of Cavity Analysis㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
24᫬㛫
ࢣ࣮ࢫᩘ㸸
100ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
256ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]5,556,802.50

SORA-PP

22,693.32

㻌
㻌

㻌

䠉㻢㻞䠉

SORA-LM

2,708.72

SORA-TPPHPC@JAXA2015㻌㻞㻣㻚㻌 㠀ᵓ㐀 㻯㻲㻰 䝁䞊䝗䛾㧗㏿໬䛻㛵䛩䜛◊✲㻌Research on acceleration of unstructured CFD code㻌 ஦ᴗᙧែඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪▼⏣ ᓫ(tishida@chofu.jaxa.jp)୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪ྜྷᮏ⛱୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪௒஭࿴ᏹ
୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪すᮧಙభ୕⳻㔜ᕤᴗᰴᘧ఍♫ᢏ⾡⤫ᣓᮏ㒊⥲ྜ◊✲ᡤὶయຊᏛ◊✲㒊✵ຊ◊✲ᐊ㸪▼ᕝ຾฼㻌 ஦ᴗࡢ┠ⓗ⏘ᴗ⏺࡟࠾ࡅࡿ FaSTAR ࡢᐇ⏝໬ࢆಁ㐍ࡍࡿࡓࡵ㸪௻ᴗ࡜㐃ᦠࡋ㸪௦⾲ⓗ࡞ㄢ㢟࡟ᑐࡍࡿ᳨ドࢆඹྠ࡛ᐇ᪋ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
FaSTAR ࢆ⏝࠸࡚㸪NASA-CRM ࡢࣂࣇ࢙ࢵࢺ࡟ᑐࡍࡿゎᯒࢆ⾜࠸㸪⢭ᗘ࡜ィ⟬᫬㛫ࢆホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㠀ᐃᖖゎᯒ࡛ࡣ㸪ィ⟬ࢥࢫࢺࡀ኱ࡁ࡞ၥ㢟࡛࠶ࡾ㸪ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡛㸪ึࡵ࡚ᐇ⏝ⓗ࡞ゎᯒࡀྍ⬟࡜࡞ࡿ㸬1ࢣ࣮ࢫࢆ1᪥௨ୗ࡛ᐇ᪋ࡍࡿࡇ࡜ࢆᛕ㢌࡟㸪᳨ドࢆ㐍ࡵ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ETWࡢヨ㦂⤖ᯝ࡟ྜࢃࡏ࡚㸪M=0.25, Re=1.16x107, ǂ=18deg࡛ゎᯒࢆᐇ᪋ࡋࡓ㸬㠀ᐃᖖィ⟬࡛ᚓࡽࢀࡓᚋὶࡢ㏿ᗘศᕸࡣ㸪DLRࡢTAUࢥ࣮ࢻ࡜ẚ㍑ࡋ࡚㸪Ⰻ࠸୍⮴ࢆ♧ࡋ࡚࠸ࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬ࡲࡓ㸪ィ⟬᫬㛫ࡣ㸪2000୓ࡢ᱁Ꮚࢆ⏝࠸ࡓሙྜ㸪512ࢥ࢔ࢆ⏝࠸࡚㸪6᫬㛫⛬ᗘ࡛ゎᯒࡍࡿࡇ࡜ࡀ࡛ࡁࡿࡇ࡜ࢆ
☜ㄆࡋࡓ㸬

䠉㻢㻟䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 ࣂࣇ࢙ࢵࢺゎᯒࡢ౛

㸸Example of Tail Buffet Analysis㻌࠙ィ⟬᝟ሗࠚ
6᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
20ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
512ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔࡞ࡋࣉࣟࢭࢫ୪ิᡭἲ㸸⮬ື୪ิࢫࣞࢵࢻ୪ิᡭἲ㸸
SORA-MA㸪SORA-PP㸪SORA-LM฼⏝ィ⟬ࢩࢫࢸ࣒㸸㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

558,390.93

931.17䠉㻢㻠䠉

SORA-LM

95.26

SORA-TPPHPC@JAXA2015㻌㻞㻤㻚㻌 㠀ᐃᖖ≉ᛶ䜢⪃៖䛻ධ䜜䛯ప䝺䜲䝜䝹䝈ᩘ⩼䛾᭱㐺タィ䛾◊✲㻌
Airfoil design optimization for unsteady low Reynolds number flow㻌 ஦ᴗᙧែ
⛉◊㈝㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo.yuichi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ụ⏣཭᫂(ikedat@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᇶ┙ᛂ⏝ᢏ⾡◊✲ࢳ࣮࣒㸪㊧㒊 㝯(atobe.takashi@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗⅆᫍ኱Ẽࡸ㉸㧗ࠎᗘࡢࡼ࠺࡟ప኱Ẽᐦᗘ୰ࡢ㣕⾜࡛ᐇ⌧ࡉࢀࡿ㸪పࣞ࢖ࣀࣝࢬᩘୟࡘ㧗ள㡢㏿ὶࢀ࡟㐺ࡋࡓ⩼ᆺタィࢆᩘ್ィ⟬ᡭἲ࡟ࡼࡾᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆపࣞ࢖ࣀࣝࢬᩘୟࡘ㧗ள㡢㏿㣕⾜᫬࡟༟㉺ࡍࡿ㠀ᐃᖖ㡢㡪ኚື࡟╔┠ࡋ࡚㸪ࡑࢀࡀ⩼ࡢቃ⏺ᒙ㑄⛣࡟୚࠼ࡿᙳ㡪ࢆ⩼ᙧ≧࡜ࡢ㛵ࢃࡾ࡟࠾࠸࡚ᐃ㔞ⓗ࡟᫂ࡽ࠿࡟ࡍࡿ㸬≉࡟๤㞳๧᩿ᒙࡢ୙Ᏻᐃᛶ࡜㠀ᐃᖖኚືࡢฟ⌧࡟ࡼࡿ๤㞳ᢚไࡢ࣓࢝ࢽࢬ࣒࡟╔┠ࡋ࡚㸪ࡼࡾ㧗࠸ᥭຊಀᩘ࡜ᥭᢠẚࢆᐇ⌧ࡍࡿ⩼ᆺࡢ㛤Ⓨ࡟ྥࡅࡓ▱ぢࢆᚓࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
⩼࿘ࡾὶࢀ࡛⏕ࡎࡿቃ⏺ᒙ๤㞳࣭㑄⛣࣭㡢㡪ኚືࡢⓎ⏕࣭ఏ᧛࡞࡝ࡢ㠀ᐃᖖ⌧㇟ࢆ㧗⢭ᗘ࡟෌⌧ࡍࡿࡓࡵ࡟ࢫࣃࢥࣥࢆ฼⏝ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
పࣞ࢖ࣀࣝࢬᩘὶࢀ࡟࠾࠸࡚㸪ࣆ࣮ࢡࢆక࠺㡢㡪ኚືࡢᾘኻ࡜஘ὶᴂࢆక࠺ቃ⏺ᒙ㑄⛣ࡢⓎ⏕ࡢ┦㛵ࡀ኱つᶍࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ㏻ࡋ࡚᫂ࡽ࠿࡟࡞ࡗࡓ㸬ࡲࡓ㸪⢓ᛶ㡯ࡢ㧗⢭ᗘࢩ࣑࣮ࣗࣞࢩࣙࣥᢏἲࡢ㛤Ⓨ࡟ᡂຌࡋࡓ㸬䠉㻢㻡䠉

HPC@JAXA2015
㻌㻌㻌
ᅗ1 Re=50,000 M=0.2࡟࠾ࡅࡿNACA0006⩼ୖ㠃࡟Ⓨ⏕ࡍࡿ஘ὶᴂ
㸸Turbulent wedges occurring on the suction side of an NACA0006 airfoil㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
500᫬㛫
ࢣ࣮ࢫᩘ㸸
2ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸384ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) T. Ikeda, D. Fujimoto, A. Inasawa, and M. Asai, On the lift increments with the occurrence of airfoil
tones at low Reynolds numbers, American Physical Society 68th Annual DFD Meeting, Boston,November, 20152) ụ⏣཭᫂㸪㕥ᮌ♸ኴ㸪ῦ஭㞞ே㸪࣐ࣝࢳࣈࣟࢵࢡቃ⏺࡟࠾ࡅࡿ⢓ᛶ㡯ホ౯ࡢᨵⰋ࡟ࡘ࠸࡚㸪ᩘ್ὶయຊ
Ꮫࢩ࣏ࣥࢪ࣒࢘ 2015ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]193,257.53

SORA-PP㻌㻌

SORA-LM㻌䠉㻢㻢䠉

SORA-TPPHPC@JAXA2015㻌㻞㻥㻚㻌 ప䝋䝙䝑䜽䝤䞊䝮タィホ౯䛾䛯䜑䛾㏆ഐሙᅽຊἼᙧ᥎⟬ᡭἲ䛾㧗⢭ᗘ໬㻌
Accurate prediction of near-field pressure signatures for low-sonic-boom design validation㻌 ஦ᴗᙧែ
ࡑࡢ௚(ࣁࣈ஦ᴗ㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪∾㔝ዲ࿴(makino@chofu.jaxa.jp)ᵓᡂဨ㸸ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪∾ᮏ༟ஓ(makitaku@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶⯟✵㍺㏦ࡢࣈ࣮ࣞࢡࢫ࣮ࣝ࡜ࡋ࡚ࡢ㉸㡢㏿᪑ᐈᶵࡢᐇ⌧ࢆ┠ᣦࡋ࡚ࠕ㟼࠿࡞㉸㡢㏿᪑ᐈᶵࠖࡢᐇ
⌧࡟ᚲせ࡞㘽ᢏ⾡ࢆ⋓ᚓࡋ㸪⯟✵ᶵ〇㐀⏘ᴗࡢⓎᒎ࡜ᑗ᮶⯟✵㍺㏦ࡢࣈ࣮ࣞࢡࢫ࣮ࣝ࡟㈉⊩ࡍࡿࡇ࡜ࢆ
┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ50 ே஌ࡾࢡࣛࢫࡢᑠᆺ㉸㡢㏿᪑ᐈᶵ࡟࠾࠸࡚㸪ࢯࢽࢵࢡࣈ࣮࣒ᙉᗘ༙ῶ㸪ᕠ⯟ᥭᢠẚ 8.0 ௨ୖ㸪㞳╔㝣᫬㦁㡢 ICAO Cp.4 㐺ྜ㸪඲㔠ᒓᶵయ㸦ࢥࣥࢥࣝࢻᢏ⾡㸧࡟ẚ࡭࡚ᵓ㐀㔜㔞 15%ῶࡢ 4 ࡘࡢᢏ⾡┠ᶆࢆ‶㊊ࡍࡿᶵయᴫᛕࢆᥦ♧ࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᮏ஦ᴗ࡛⋓ᚓࡍ࡭ࡁపࢯࢽࢵࢡࣈ࣮࣒タィᢏ⾡ࡣ㸪ࢯࢽࢵࢡࣈ࣮࣒Ἴᙧࢆไᚚࡍࡿᶵయタィࢥࣥࢭࣉࢺ࡜ࢥࣥࢭࣉࢺࢆᐇᶵ࡟ᐇ⌧ࡍࡿタィᡭἲ࠿ࡽ࡞ࡾ㸪タィᡭἲ࡟ࡣᶵయࡀⓎ⏕ࡍࡿ⾪ᧁἼࢆᶵయ㏆ഐሙ࡛⢭ᗘⰋࡃ᥎⟬ࡍࡿ࡜࡜ࡶ࡟㸪ᆅୖ࡬ࡢ㠀⥺ᙧⓗ࡞㡢㡪ఏ᧛ゎᯒࡀᚲせ࡛࠶ࡿ㸬≉࡟ᶵయ㏆ഐሙࡢᅽຊ
Ἴᙧ᥎⟬࡟ࡣ㧗⢭ᗘ࡞CFDゎᯒࡀᚲせ࡛࠶ࡾࢫࣃࢥࣥ฼⏝ࡀᚲ㡲࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
㟼⢔㉸㡢㏿ᶵࡢᙧ≧ࡣ」㞧࡞ࡓࡵ㸪ᶵయ㏆ഐ࡟࠾ࡅࡿィ⟬᱁Ꮚࢆ4㠃యࡢ㠀ᵓ㐀᱁Ꮚ࡛సᡂࡋ㸪ࡑࡢእࡣ⾪ᧁἼᤕ⋓ᛶ⬟ྥୖࡢࡓࡵ6㠃యࡢᵓ㐀᱁Ꮚ࡛సᡂࡍࡿ」ྜ᱁Ꮚࢆ⏝࠸࡚CFDゎᯒࢆ⾜࠺㸬௒ᖺᗘࡣ㸪ࡑࡢ㠀ᵓ㐀㡿ᇦࢆࡼࡾᶵయ௜㏆ࡢࡳ࡟⦰ᑠࡋ㸪ᵓ㐀᱁Ꮚ㡿ᇦࢆቑࡸࡋࡓ㸬ࡑࡢ⤖ᯝ㸪㠀ᵓ㐀㡿ᇦ࡟ࡼࡿ≀⌮㔞ࡢఏ᧛ᩓ㐓ࡀᑠࡉࡃ࡞ࡾ㸪㏆ഐሙᅽຊἼᙧࢆ⢭ᗘⰋࡃ᥎⟬ࡍࡿࡇ࡜ࡀྍ⬟࡜࡞ࡗࡓ㸬᥎⟬⤖ᯝࡣ㢼Ὕヨ㦂⤖ᯝ࡟ࡼࡾ᳨ドࡉࢀ㸪పࢯࢽࢵࢡࣈ࣮࣒タィຠᯝࡀ☜ㄆ࡛ࡁࡓ㸬䠉㻢㻣䠉

HPC@JAXA2015㻌㻌
ᅗ1 ᑠᆺ㉸㡢㏿᪑ᐈᶵ➨3.3ḟᴫᛕタィᙧ≧ 㢼ヨ᳨ド⏝ゎᯒ⤖ᯝ㸦ᕥ㸸ᶍᆺᨭᣢ࡞ࡋ / ྑ㸸ᶍᆺᨭᣢ࠶ࡾ㸧
㸸Numerical simulation around the wind-tunnel model for
low-boom design validation of a small-size supersonictransport conceptual design configuration.
(Left: Model support off, Right : Model support on)㻌㻌ᅗ 2 CFD ࡜㢼Ὕヨ㦂࡜ࡢ㏆ഐሙᅽຊἼᙧẚ㍑
㸸Comparison of near-field pressure signatures between CFD(model
support on/off) and wind-tunnel test data(model support on).
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
8᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸48ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㸪SORA-LM㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

2,376,351.45

275,534.06
䠉㻢㻤䠉SORA-LM

1,405.00

SORA-TPP

1,313.80

HPC@JAXA2015㻌㻟㻜㻚㻌 䝣䝻䞁䝔䜱䜰㡿ᇦ䛾㠀ᐃᖖ 㻯㻲㻰 ゎᯒᢏ⾡䛻㛵䛩䜛◊✲㻌Research on Unsteady CFD Analysis Technology for Frontier Region㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪▼⏣ ᓫ(tishida@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪ᯘㅬྖ(khayashi@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪➉ᕝᅜஅ( ktake@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗὶయࡢᐃᖖィ⟬࡟ࡘ࠸࡚ࡣᢏ⾡ࡀᡂ⇍ࡋࡘࡘ࠶ࡾ㸪タィ࣭㛤Ⓨ࡟࠾࠸࡚࠿࡞ࡾᐇ⏝ⓗ࡟౑⏝ࡉࢀ࡚࠸ࡿ㸬୍᪉㸪㠀ᐃᖖィ⟬ࡣゎീᗘ㸪஘ὶࣔࢹࣝ㸪ィ⟬ࢥࢫࢺ㸪኱つᶍ໬࡞࡝ከࡃࡢㄢ㢟ࡀṧࡉࢀ࡚࠸ࡿ㸬ᮏ஦ᴗ࡛ࡣ㸪ࡑࢀࡽࡢᢏ⾡ㄢ㢟ࢆゎỴࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡋ㸪㠀ᐃᖖゎᯒࡢᐇ⏝໬ࢆ┠ᣦࡍ㸬㻌 ஦ᴗࡢ┠ᶆᮏ஦ᴗ࡛ࡣ㸪ᐃᖖゎᯒ⏝ࡢ FaSTAR ࢆ㠀ᐃᖖ࡟ᣑᙇࡍࡿ㸬㠀ᐃᖖゎᯒ࡟ᚲせ࡞ྛゎᯒᢏ⾡㸦኱つᶍ᱁Ꮚ⏕ᡂἲ㸪㧗ゎീᗘࡢὶ᮰ィ⟬ἲ㸪ຠ⋡ⓗ࡞᫬㛫✚ศἲ㸪RANS/LES ࣁ࢖ࣈࣜࢵࢻἲ࡞࡝㸧ࢆᐇ⿦ࡍࡿ㸬᳨ド࡛ࡣ㸪㑄㡢㏿ࣂࣇ࢙ࢵࢺࢆゎࡁ㸪ᐇ㦂࡜ẚ㍑ࡍࡿࡇ࡜࡛ࡑࡢ᭷ຠᛶࢆホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㠀ᐃᖖゎᯒ࡛ࡣ㸪ィ⟬ࢥࢫࢺࡀ኱ࡁ࡞ၥ㢟࡛࠶ࡾ㸪ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡛㸪ึࡵ࡚ᐇ⏝ⓗ࡞ゎᯒࡀྍ⬟࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝOAT15A⩼ᆺ࡟ᑐࡋ࡚Zonal DESࢆ⏝࠸ࡓࣂࣇ࢙ࢵࢺゎᯒࢆᐇ᪋ࡋ㸦ᅗ1㸧㸪ᐇ㦂࡜୍⮴ࡍࡿCpࡢᖹᆒ್㸪RMS್ࡢศᕸࡀᚓࡽࢀࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬ࡲࡓ㸪ෆ㒊཯᚟ᅇᩘࡢᙳ㡪㸪RANS/LESษࡾ᭰࠼఩⨨ࡢ㧗ࡉࡢᙳ㡪㸪ࢫࣃࣥ᪉ྥ㛗ࡉࡢᙳ㡪ࡶㄪᰝࡋࡓ㸬NASA-CRMࡢ୺⩼࡟ᑐࡋ࡚㸪ྠᵝ࡟Zonal DESࢆ⏝࠸࡚ࣂࣇ࢙ࢵࢺゎᯒࢆᐇ᪋ࡋࡓ㸦ᅗ2㸧㸬ࡲࡔ㸪⾪ᧁἼ఩⨨ࢆᐇ㦂࡟ྜࢃࡏࡿࡇ࡜ࡣ࡛ࡁ࡚࠸࡞࠸ࡀ㸪CpࡢRMS್ࡣᐇ㦂࡜࡯ࡰྠࡌ࡛࠶ࡿࡇ࡜ࢆ☜ㄆࡋ࡚࠸ࡿ㸬௒ᚋ㸪ࣔࢹࣝࡢᨵⰋࢆ㐍ࡵࡿ࡜࡜ࡶ࡟㸪ᐇ㦂࡜ࡢヲ⣽࡞ẚ㍑ࢆᐇ᪋ࡍࡿணᐃ࡛࠶ࡿ㸬䠉㻢㻥䠉

HPC@JAXA2015
㻌㻌㻌
ᅗ1 OAT15A⩼ᆺࡢࣂࣇ࢙ࢵࢺゎᯒ㸸Buffet analysis of OAT15A airfoil

㻌ᅗ2 NASA-CRM⩼ࡢࣂࣇ࢙ࢵࢺゎᯒ㸸Buffet analysis of NASA-CRM wing㻌࠙ィ⟬᝟ሗࠚ
500᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
512ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Takashi Ishida, Keiichi Ishiko, Atsushi Hashimoto, Takashi Aoyama, and Kuniyuki Takekawa.
"Transonic Buffet Simulation over Supercritical Airfoil by Unsteady-FaSTAR Code", 54th AIAA
Aerospace Sciences Meeting, AIAA SciTech, AIAA 2016-1310.
2) Atsushi Hashimoto, Takashi Ishida, Takashi Aoyama, Kuniyuki Takekawa, and Kenji Hayashi.
"Results of Three-dimensional Turbulent Flow with FaSTAR", 54th AIAA Aerospace Sciences
Meeting, AIAA SciTech, AIAA 2016-1358.
3) Atsushi Hashimoto, Takashi Aoyama, Yuichi Matsuo, Makoto Ueno, Kazuyuki Nakakita, Shigeru
Hamamoto, Keisuke Sawada, Kisa Matsushima, Taro Imamura, Akio Ochi, and Minoru
Yoshimoto. "Summary of First Aerodynamics Prediction Challenge (APC-I)", 54th AIAA Aerospace
Sciences Meeting, AIAA SciTech, AIAA 2016-1780.

䠉㻣㻜䠉HPC@JAXA2015ཱྀ㢌Ⓨ⾲4) ᶫᮏ ᩔ㸪㟷ᒣ๛ྐ㸪ᯇᑿ⿱୍㸪ୖ㔝 ┿㸪୰໭࿴அ㸪὾ᮏ ⁠㸪⃝⏣ᜨ௓㸪ᯇᓥ⣖బ㸪௒ᮧኴ㑻㸪㉺ᬛ❶⏕㸪➉୰ၨ୕㸪APC-Iࡢ㞟ィ⤖ᯝ㸪 ➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘ㅮ₇㞟㸪3B05㸪JSASS-2015-5174㸬
5) ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪㟷ᒣ๛ྐ㸪ᯘ ㅬྖ㸪⳻⏣ Ꮫ㸪FaSTAR࡟ࡼࡿNASA-CRM✵ຊண 㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘ㅮ₇㞟㸪2B13㸪JSASS-2015-5089㸬
6) ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪㟷ᒣ๛ྐ㸪ᯘ ㅬྖ㸪FaSTAR࣭HexaGrid᱁Ꮚ࡟ࡼࡿゎᯒ㸪First Aerodynamics
Prediction Challenge㸪JAXA-SP-15-005㸬ᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

4,409,014.06

390,353.32

䠉㻣㻝䠉SORA-LM

2,797.16

SORA-TPPHPC@JAXA2015㻌㻟㻝㻚㻌 䝸䝤䝺䝑䝖ୖ䛾ὶ䜜䛾ᩘ್䝅䝭䝳䝺䞊䝅䝵䞁㻌
Numerical Simulation of Flow over Riblets㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧୖ ဴ(murakami.akira@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪㒌 ᮾ₶(kwak.dongyoun@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᒸᯘᕼ౫(okabayashi.kie@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ෆ⸨ᘯኈ(naitoh.hiroshi@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ⯟✵ᶵࡢ⾲㠃ᦶ᧿᢬ᢠࢆపῶࡉࡏࡿࣜࣈࣞࢵࢺᢏ⾡ࡢᢏ⾡ᡂ⇍ᗘࢆྥୖࡉࡏࡿ࡜࡜ࡶ࡟㸪⋓ᚓࡋࡓᢏ⾡ຊࢆ㧗࠸࢖ࣥࣃࢡࢺ࡛♧ࡍࡇ࡜࡛㸪┬࢚ࢿࣝࢠ࣮ᢏ⾡ࡢ♫఍ᐇ⿦ࡢᐇ⌧࡟㈨ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆx ᢬ᢠపῶຠᯝࢆ㧗ࡵࡓ᪂ᆺࣜࣈࣞࢵࢺࡢ㛤Ⓨ㸬
x JAXA⊂⮬ࣜࣈࣞࢵࢺ᪋ᕤᢏ⾡ࡢ㛤Ⓨ㸬x ୖグ2ᢏ⾡ࡢ㣕⾜ᐇド㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭x ⊂⮬ࣜࣈࣞࢵࢺࡢ᢬ᢠపῶ⋡ィ⟬࣭ὶࢀሙࡢゎᯒ㸬
x ㏫ᅽຊ໙㓄ୗ࡛ࡢࣜࣈࣞࢵࢺࡢ᢬ᢠపῶຠᯝࢆㄪᰝ㸬x 㣕⾜ᐇド࡟ᚲせ࡞▱ぢࡢ⋓ᚓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ᢬ᢠపῶຠᯝࡢẼὶ᮲௳࡟ᑐࡍࡿࣟࣂࢫࢺᛶࢆ㧗ࡵࡓ⊂⮬ࣜࣈࣞࢵࢺࢆ㛤Ⓨࡋࡓ㸦≉チฟ㢪୰㸧㸬
x ㏫ᅽຊ໙㓄ࡀ኱ࡁࡃ࡞ࡿ࡜᢬ᢠపῶຠᯝࡣᑠࡉࡃ࡞ࡿࡇ࡜ࡀࢃ࠿ࡗࡓ㸬x ቃ⏺ᒙཌࡉ㸪ᅽຊศᕸ㸪᭱㐺ࣜࣈࣞࢵࢺ㛫㝸࡞࡝ࢆィ⟬ࡋ㸪㣕⾜ᐇド࡟⏝࠸ࡿᶵჾࡢ㑅ᐃ࡟㈨ࡍࡿࢹ
࣮ࢱࢆ⋓ᚓࡋࡓ㸬䠉㻣㻞䠉

HPC@JAXA2015
㻌(CF-CFsmooth)/CFsmooth [%]20┤⥺ࣜࣈࣞࢵࢺ㸦CFD㸧Ἴᆺࣜࣈࣞࢵࢺ㸦CFD㸧᪂ᆺࣜࣈࣞࢵࢺ㸦CFD㸧┤⥺ࣜࣈࣞࢵࢺ㸦ᐇ㦂㸧Ἴᆺࣜࣈࣞࢵࢺ㸦ᐇ㦂㸧᪂ᆺࣜࣈࣞࢵࢺ㸦ᐇ㦂㸧

15
10
5
0
-5
-10
10

15

20

25

30

35

40

45

s+

㻌

㻌

ᅗ 1 JAXA ⊂⮬ᙧ≧࡛࠶ࡿ᪂ᆺࣜࣈࣞࢵࢺ㸦≉チฟ㢪୰㸧࡜ᚑ᮶ࡢ┤⥺ࣜࣈࣞࢵࢺ࣭Ἴᆺࣜ
ࣈࣞࢵࢺ࡜ࡢẚ㍑
㸸Comparison of drag reduction rates. Red: modified sinusoidal riblet (patent pending),
blue : traditional sinusoidal riblet , green : straight riblet㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
530᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
16ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 16ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) ᒸᯘᕼ౫㸪ᮎỌᏱ⧊㸪ῦ஭㞞ே㸪͆ࣜࣈࣞࢵࢺࡢ᢬ᢠపῶຠᯝࢆᶍᨃࡍࡿ஘ὶࣔࢹࣝࡢᵓ⠏͇㸪᪥ᮏ⯟✵ᏱᐂᏛ఍ㄽᩥ㞟㸪Vol. 64, No.1 pp.41-49 (2016).ཱྀ㢌Ⓨ⾲2) Kie Okabayashi, Yuki Yamada and Masahito Asai, “Parametric Analysis of Flow over Sinusoidal
Riblets”, 9th Int. Conf. on Turbulence and Shear Flow Phenomena (TSFP-9),ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,576,102.24

SORA-PP

8,441.51

㻌䠉㻣㻟䠉

SORA-LM

0.50

SORA-TPPHPC@JAXA2015㻌㻟㻞㻚㻌 ὶయ⣲Ꮚ䛻䜘䜛✵Ẽὶ㔞㓄ศไᚚᢏ⾡䛾◊✲㻌
Air flow distribution control by a fluidic element㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪஧ᮧᑦኵ(futamura.hisao@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ྜྷ⏣ᚁ஧(yoshida.seiji@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪∾⏣ගṇ(makida@chofu.jaxa.jpᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪୰ᮧ┤⣖(nakam@chofu.jaxa.jp)᪩✄⏣኱Ꮫ㸪Ṋ▼⫱ᾏ(iku_t1972@asagi.waseda.jp)㻌 ஦ᴗࡢ┠ⓗࢪ࢙ࢵࢺ࢚ࣥࢪࣥ⇞↝ჾࢆὶࢀࡿ✵Ẽὶࢆὶయ⣲Ꮚ࡟ࡼࡾไᚚࡋ㸪⇞↝ຠ⋡ࡢྥୖ㸪⇞↝୙Ᏻᐃࡢᢚ
ไ࡞࡝㸪⇞↝ჾࡢᛶ⬟ࢆྥୖࡉࡏࡿ㸬㻌 ஦ᴗࡢ┠ᶆὶయ⣲Ꮚฟཱྀࡢὶ㊰᢬ᢠ࠾ࡼࡧὶయ⣲Ꮚࡢὶ㊰ᙧ≧ࢆኚ࠼ࡓ᫬ࡢὶ㔞㓄ศ≉ᛶࢆྲྀᚓࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ὶయ⣲Ꮚࡢὶ㊰ࣃ࣓࣮ࣛࢱࢆኚ࠼࡞ࡀࡽࣃ࣓ࣛࢺࣜࢵࢡࢫࢱࢹ࢕࣮ࢆከᩘ⾜࠺ᚲせࡀ࠶ࡿ㸬ࡲࡓ㸪ෆ㒊ὶࢀࡢྍど໬࡟ࡼࡾὶ㊰ᙧ≧ᨵⰋࡢࡓࡵࡢ▱ぢࢆᚓࡿࡇ࡜ࡀ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᐇ㦂࡛⏝࠸ࡓὶయ⣲Ꮚ࡜ྠᙧ≧ࡢὶయ⣲Ꮚ࡟ࡘ࠸࡚㸪ฟཱྀࡢὶ㊰᢬ᢠࢆኚ࠼࡚ὶ㔞㓄ศ≉ᛶࢆㄪ࡭ࡓ㸬ᐇ㦂࡜᮲௳ࢆྜࢃࡏࡿࡓࡵࡢὶ㊰᢬ᢠࡢỴࡵ᪉࡟ㄢ㢟ࡀṧࡗ࡚࠸ࡿࡀ㸪ὶ㊰᢬ᢠࡢ࡞࠸᮲௳࡛ࡣ㸪ᐇ㦂
࡜CFDࡢ⤖ᯝࡣ୍⮴ࡋࡓ㸬䠉㻣㻠䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 ὶయ⣲Ꮚෆὶ㏿ศᕸ㸸Flow field in a fluidic element࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
50᫬㛫
ࢣ࣮ࢫᩘ㸸
⣙30ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸36ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᏛෆⓎ⾲ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]506,880.96

SORA-PP

2,587.22

䠉㻣㻡䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻟㻟㻚㻌 䛆㼍㻲㻶㻾 䝥䝻䝆䜵䜽䝖䛇㻸㻿㻙㻰㼅㻺㻭 䛻䜘䜛䝬䝹䝏䝇䜿䞊䝹ᵓ㐀ゎᯒ㻌
䛆aFJR Project䛇Multi-Scale Structural Analysis in LS-DYNA㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪す⃝ᩄ㞝(nishizawa.toshio@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪໭ᲄṇᘯ(hojo.masahiro@jaxa.jp)⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪໭ᮧ⚈அ(kitamura.yoshiyuki@jaxa.jp)
ᐩኈ㏻ᰴᘧ఍♫㸪㔠ᇽ๢ྐ㑻(kondo.kenshiro@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪㈆ᮏᑗኴ(sadamoto.shota@jp.fujitsu.com)

㻌 ஦ᴗࡢ┠ⓗaFJR ࣉࣟࢪ࢙ࢡࢺ࡟࠾࠸࡚㸪⯟✵࢚ࣥࢪࣥࡢࠕࣇ࢓ࣥࠖཬࡧࠕపᅽࢱ࣮ࣅࣥࠖࢆ㍍㔞໬ࡍࡿࡓࡵࡢ
ᢏ⾡ࢆ㛤Ⓨ࣭ᐇドࡋ㸪ḟୡ௦࢚ࣥࢪࣥࡢᅜ㝿ඹྠ㛤Ⓨ࡟࠾࠸࡚タィศᢸࢆ≺࠼ࡿᢏ⾡ࢆ⋓ᚓࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ┠ᶆ⯟✵࢚ࣥࢪࣥࡢࠕࣇ࢓ࣥࠖཬࡧࠕపᅽࢱ࣮ࣅࣥࠖࡢ 10%㍍㔞໬ࢆྍ⬟࡜ࡋ㸪⪏ஂᛶࡸಙ㢗ᛶ࡛ᚑ᮶࡜
ྠ➼࡜࡞ࡿ㍍㔞ࣇ࢓ࣥタィ〇㐀ᢏ⾡㸪㍍㔞పᅽࢱ࣮ࣅࣥタィᢏ⾡ࢆ㛤Ⓨࡋ㸪ᐇドヨ㦂࡟ࡼࡾࡑࡢ᭷ຠᛶ
ࢆ☜ㄆࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
≀⌮⌧㇟ࢆ⦓ᐦ࡟ࣔࢹࣝ໬ࡋࡘࡘࡶ㸪࣐ࢡࣟ࡞⌧㇟ࢆண ࡛ࡁࡿ࣐ࣝࢳࢫࢣ࣮ࣝゎᯒࢆຠ⋡ⓗ࡟ᐇ᪋ࡋ㸪ᚑ᮶ࡼࡾࡶゎᯒ⢭ᗘࢆྥୖࡉࡏࡿࡇ࡜࡛㸪ಙ㢗ᛶࢆྥୖࡉࡏ㸪㍍㔞໬࡟㈉⊩ࡍࡿᚲせࡀ࠶ࡿ㸬ࢫࣃࢥࣥࡣࡇࡢసᴗࡢຠ⋡໬㸪ࣔࢹࣝࡢ኱つᶍ໬࡟ᑐᛂࡍࡿୖ࡛ᚲせ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
‫ۑ‬JSS2ୖ࡟ỗ⏝ᵓ㐀ゎᯒࢯࣇࢺLS-DYNAࢆ࢖ࣥࢫࢺ࣮ࣝࡋ㸪ゎᯒྍ⬟࡞⎔ቃࢆసࡾୖࡆࡓ㸬‫ۑ‬඲࿘ື㟼⩼ᖸ΅ゎᯒࡢࢺࣛ࢖࢔ࣝࢆ᏶஢㸬‫෇ۑ‬Ꮝヨ㦂∦࡬ࡢࢩࣙࢵࢺࣆ࣮ࢽࣥࢢゎᯒࡀ࡛ࡁࡿࡇ࡜࡛㸪ヨ㦂⤖ᯝ࡜ࡢẚ㍑ࡀྍ⬟࡟࡞ࡗࡓ㸬䠉㻣㻢䠉

HPC@JAXA2015
㻌

㻌㻌

㻌

ᅗ 1 ඲࿘ື㟼⩼ᖸ΅ゎᯒࣔࢹࣝ
㸸Analysis model (all turbine blades and stator vanes in one stage)

㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸


24᫬㛫
12ࢣ࣮ࢫ
120ࣉࣟࢭࢫ
4ࢥ࢔
MPI
OpenMP
SORA-MA㸪SORA-LMᅗ 2 ࢩࣙࢵࢺࣆ࣮ࢽࣥࢢゎᯒࣔࢹࣝ
㸸Shot peening analysis model࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸㻌 ᡂᯝࡢබ⾲≧ἣ
↓ࡋ

䠉㻣㻣䠉

72᫬㛫
6ࢣ࣮ࢫ
64ࣉࣟࢭࢫ
8ࢥ࢔
MPI
OpenMP
SORA-MAHPC@JAXA2015ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,402,563.45

SORA-PP

SORA-LM

1,984.88

䠉㻣㻤䠉SORA-TPPHPC@JAXA2015㻌㻟㻠㻚㻌㻯㻲㻰 䛾ᑠᆺ᪑ᐈᶵタィ㐺⏝䛻㛵䛩䜛◊✲㻌
Application of CFD to Small Civil Aircraft Design㻌 ஦ᴗᙧែ
ඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ ᇶ┙ᛂ⏝ᢏ⾡◊✲ࢳ࣮࣒㸪ఀ⸨ ೺ (ito.takeshi@jaxa.jp)ᵓᡂဨ㸸୕⳻㔜ᕤᴗᰴᘧ఍♫㸪➉୰ၨ୕(keizoo_takenaka@mhi.co.jp)୕⳻⯟✵ᶵᰴᘧ఍♫㸪⏿୰ᆂኴ(keita_hatanaka@mitsubishiaircraft.com)

㻌 ஦ᴗࡢ┠ⓗᅜ⏘Ẹ㛫ᶵ MRJ ࢆ㛤Ⓨࡋ㸪⎔ቃ㈇Ⲵపῶ㸪஌ᐈᛌ㐺ᛶࡢྥୖ㸪㐠⯟⤒῭ᛶࡢྥୖࢆ⾜࠺㸬㻌 ஦ᴗࡢ┠ᶆ✵ຊ᢬ᢠపῶࢆᐇ⌧ࡍࡿඛ㐍✵ຊᢏ⾡㛤Ⓨࢆ⾜࠺㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
Vortex Generatorࢆᦚ㍕ࡋࡓ඲ᶵ✵ຊゎᯒࢆྍ⬟࡜ࡋ㸪Vortex Generatorᙧ≧ኚ᭦ឤᗘホ౯ࢆ▷ᮇ㛫࡟ᐇ᪋ࡍࡿ஦࡛㸪タィ࡬ࡢࣇ࢕࣮ࢻࣂࢵࢡ࣭ヨ㦂᫬ࡢࣜࢫࢡ஦๓ホ౯సᴗ࡟౪ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
᫖ᖺᗘࡲ࡛ࡣ㸪୍⯡ⓗ࡞⯟✵ᶵᙧែ࡛࠶ࡿᚋ㏥ゅࢆᣢࡘ୺⩼ୖࡢVortex Generatorᙧ≧ࢆᐃ⩏ࡋ㸪ᛶ⬟ホ౯ࢆᐇ᪋ࡋࡓ㸬௒ᖺᗘࡣ㸪ࡑࢀࡽࡢᡂᯝࡢ᭦࡞ࡿ㐺⏝ᑐ㇟࡜ࡋ࡚ᆶ┤ᑿ⩼ࢆ㑅ᐃࡋ㸪࢔ࣥࢸࢼ➼ࡢ✺㉳≀ࡶ⪃៖ࡋࡓᇶᮏࢹ࣮ࢱࡢྲྀᚓࢆᐇ᪋ࡋࡓ㸬䠉㻣㻥䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 ș>0deg࡟࠾ࡅࡿᆶ┤ᑿ⩼ୖ㠃ࡢẼὶࡢᵝᏊ㸦࢔ࣥࢸࢼ௜㸧
㸸Flow on the vertical tail with sideslip angle(with antenna).
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
4᫬㛫
ࢣ࣮ࢫᩘ㸸
100ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
128ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

SORA-LM

2,066,986.44

䠉㻤㻜䠉SORA-TPPHPC@JAXA2015㻌㻟㻡㻚㻌㻱㻲㻰㻛㻯㻲㻰 ⼥ྜ䝕䞊䝍ά⏝ᢏ⾡㻌
EFD/CFD Data Integration Technology㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ఀ⸨ ೺( ito@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ཱྀ▼ ⱱ(shigeruk@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ಖỤ࠿࡞Ꮚ(yasue@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪㉺ᬛᗣᾈ(yochi@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ຍ⸨༤ྖ(hiroshik@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗx ⤫ィᩘ⌮ศ㔝࡛◊✲㛤Ⓨࡀ㐍ࡵࡽࢀ࡚ࡁࡓࢹ࣮ࢱྠ໬ᢏ⾡ࡢά⏝࡟ࡼࡾ㸪≉࡟஘ὶࣔࢹࣝࡢほⅬ࠿ࡽ
EFD/CFD୍⮴ᗘࡢᨵၿࢆᅗࡾ㸪ྠ໬⤖ᯝ࠿ࡽ୍⮴ᗘྥୖ࡟㛵ࡍࡿᣦ㔪ࢆᥦ౪ࡍࡿ࡜࡜ࡶ࡟㸪㢼ヨ᮲௳
࡟࠾ࡅࡿCFD✵ຊ≉ᛶண ್ࡢᐃ㔞ⓗ⢭ᗘಖド㸦㢼ヨࢹ࣮ࢱࢆᚲせ࡜ࡋ࡞࠸㸪CFD༢⊂࡟ࡼࡿ⢭ᗘಖド㸧ࢆᐇ⌧ࡍࡿ㸬x ௵ពࡢ┠ⓗ㛵ᩘ/タィኚᩘ࡟ᑐࡋ࡚ឤᗘࢆ⟬ฟࡍࡿࡇ࡜ࡀྍ⬟࡞ỗ⏝Adjointឤᗘゎᯒࢶ࣮ࣝࢆ㛤Ⓨࡋ㸪
EFD/CFD⼥ྜᢏ⾡ࡢᇶ┙ࢶ࣮ࣝ࡜ࡋ࡚ᩚഛࡍࡿ㸬x 㢼Ὕ/CFD࡟ࣇࣛ࢖ࢺࢹ࣮ࢱࢆຍ࠼ࡓ3ࢹ࣮ࢱࡢ⤫ྜẚ㍑ࢆྍ⬟࡜ࡋ㸪ࢹ࣮ࢱ⢭ᗘࡸྲྀᚓຠ⋡ࡢྥୖ࡟㈨ࡍࡿ3ࢹ࣮ࢱࡢ⼥ྜ/┦஫⿵ൾࢆᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆx ࢹ࣮ࢱྠ໬⤖ᯝ࠿ࡽ㸪㢼ヨ/CFDࡢ୍⮴ᗘྥୖ࡟㛵ࡍࡿᣦ㔪ࢆᥦ౪ࡍࡿ࣮࣡ࢡࣇ࣮ࣟࢆᵓ⠏ࡍࡿ㸬
x Adjointឤᗘゎᯒࢶ࣮ࣝ࡟ࡘ࠸࡚㸪1000୓ⅬつᶍࡢRANSࢹ࣮ࢱ࡟ࡘ࠸࡚㸪JSS2࡟ࡼࡾᩘ᫬㛫⛬ᗘ࡛ࡢឤᗘ⟬ฟࢆྍ⬟࡜ࡍࡿ㸦ὶࢀሙᯒ᫬㛫ࢆྵࡵࡿ㸧㸬x ᐇ⏝࡟㈨ࡍࡿࢹ࣮ࢱゎᯒᢏ⾡ࢆά⏝ࡋࡓEFD/CFD⼥ྜゎᯒᡭἲࢆ㛤Ⓨࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭x ୖグ┠ⓗ㸪┠ᶆࢆᐇ⌧ࡍࡿࡓࡵࡢࢶ࣮ࣝ㛤Ⓨ࠾ࡼࡧࡑࡢ᳨ドࢆ⾜࠺㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ࢹ࣮ࢱྠ໬ᢏ⾡࡟ࡼࡿ஘ὶࣔࢹࣝ㧗ᗘ໬࡟ࡘ࠸࡚㸪஘ὶࣔࢹࣝಀᩘࡢᬑ㐢ⓗ᭱㐺໬ࢆ᪋ࡋ㸪ᚑ᮶ࣔࢹࣝ࠿ࡽ」㞧ὶືሙࡢண ᛶ⬟ࢆᨵၿ㸬x CFDࢹ࣮ࢱឤᗘゎᯒࢶ࣮ࣝ࡟ࡘ࠸࡚㸪᭱㐺໬➼࡬ࡢ㐺⏝ࡢࡓࡵࡢឤᗘ⟬ฟ⮬ື໬ࢆᐇ⌧㸬x ࢹ࣮ࢱゎᯒᢏ⾡ࢆά⏝ࡋࡓEFD/CFD⼥ྜᢏ⾡ࡢᵓ⠏࡟ࡘ࠸࡚㸪࢞࢘ࢫ㐣⛬ᅇᖐ㸦GPR㸧ࡢ㐺⏝⠊ᅖ
ࢆ3D✵㛫ὶࢀሙ࡟ᣑᙇ㸪ࡲࡓPOD࡟ࡼࡿࣂࣇ࢙ࢵࢺⓎ⏕ண඙ࡢ᳨ฟᡭἲࢆ㛤Ⓨ㸬䠉㻤㻝䠉

HPC@JAXA2015

㻌ᅗ1 ࢹ࣮ࢱྠ໬ᢏ⾡࡟ࡼࡿ஘ὶࣔࢹࣝ㧗ᗘ໬㸸Data Assimilation for Turbulence Modeling㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

3᫬㛫
12ࢣ࣮ࢫ
128ࣉࣟࢭࢫ
2ࢥ࢔
MPI
OpenMP
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) H., Kato, K., Ishiko, and A., Yoshizawa, ͆Optimization of Parameter Values aided by Data
Assimilation: Application to the SST Turbulence Model,͇ AIAA Journal (ᢞ✏୰).
ᰝㄞ࡞ࡋㄽᩥ
2) ຍ⸨༤ྖ㸪㛗ᑿ኱㐨㸪▼ྥ᱇୍㸪͆≀⌮ࣔࢹࣝ㧗ᗘ໬࡬ࡢᣦ㔪ࢆ୚࠼ࡿᇶᗏᢳฟ࡟ᇶ࡙ࡃ⡆౽࡞ᡭἲࡢ
ᥦ᱌㸪͇ ➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢩ࣏ࣥࢪ࣒࢘㸪 July 2015㸬3) ಖỤ࠿࡞Ꮚ㸪㔝㛫ஂྐ㸪͆࢞࢘ࢫ㐣⛬ᅇᖐ࡜Multiple Imputationἲࢆ⏝࠸ࡓᶍᆺኚᙧຠᯝ᥎ᐃᢏ⾡ࡢ᳨ウ㸪͇ ➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢩ࣏ࣥࢪ࣒࢘㸪July 2015㸬ཱྀ㢌Ⓨ⾲4) ຍ⸨༤ྖ㸪▼ྥ᱇୍㸪ྜྷ⃝ ᚩ㸪͆ࢹ࣮ࢱྠ໬࡟ࡼࡗ࡚෌⪃ࡉࢀࡓࣔࢹࣝᐃᩘࢆ⏝࠸ࡓSST2003஘ὶࣔࢹࣝ࡟ࡼࡿゎᯒ㸪
͇First Aerodynamics Prediction Challenge (APC1) 㸪 July 2015㸬5) ຍ⸨༤ྖ㸪͆㢼Ὕቨᖸ΅⿵ṇ࡟ᑐࡍࡿࢹ࣮ࢱྠ໬ࡢ㐺⏝࡜ㄢ㢟㸪͇➨28ᅇィ⟬ຊᏛㅮ₇఍㸪 Oct. 2015.
6) H., Kato, ͆Data Assimilation for Aeronautical Fluid Analysis,͇➨5ᅇ᪥ྎ㏫ၥ㢟◊✲఍㸪Nov. 2015.
7) H., Kato, ͆Data Assimilation Aided Turbulence Modeling,͇ Workshop on Next Generation
Transport Aircraft, Feb. 2016.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

220,177.77

238,746.83

䠉㻤㻞䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻟㻢㻚㻌㻶㻭㼄㻭㻙㻽㻿㻿㼀 ᙧ≧䛾 㻴㻸㻰 ᭱㐺タィ㻌
Optimal design of the high lift device on JAXA-QSST configuration㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ ⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪ᮧୖ ဴ(murakami.akira@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ ⯟✵ᶵࢩࢫࢸ࣒◊✲ࢳ࣮࣒㸪∾㔝ዲ࿴(makino.yoshikazu@jaxa.jp)㒌 ᮾ₶㸦kwak.dongyoun@jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪኱ᖹၨ௓(ohirak@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶⯟✵㍺㏦ࡢࣈ࣮ࣞࢡࢫ࣮ࣝ࡜ࡋ࡚ࡢ㉸㡢㏿᪑ᐈᶵࡢᐇ⌧ࢆ┠ᣦࡋ࡚ࠕ㟼࠿࡞㉸㡢㏿᪑ᐈᶵࠖࡢᐇ
⌧࡟ᚲせ࡞㘽ᢏ⾡ࢆ⋓ᚓࡋ㸪⯟✵ᶵ㛤Ⓨࡢඛᑟᙺ࡜ࡋ࡚㸪⯟✵ᶵ〇㐀⏘ᴗࡢⓎᒎ࡜ᑗ᮶⯟✵㍺㏦ࡢࣈࣞ
࣮ࢡࢫ࣮ࣝ࡟㈉⊩ࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ┠ᶆᑠᆺ㉸㡢㏿᪑ᐈᶵࡢ୰᰾ᢏ⾡࡜ࡋ࡚タᐃࡋࡓᢏ⾡┠ᶆࡢ୍ࡘ࡛࠶ࡿ㞳╔㝣㦁㡢పῶ࡟ࡘ࠸࡚ゎᯒ࡛ࣞ࣋ࣝࡢ㐩ᡂࢆ☜ㄆࡍࡿ㸬ᑠᆺ㉸㡢㏿᪑ᐈᶵࡢ CFD ゎᯒ࠾ࡼࡧ㧗ᥭຊ⿦⨨᭱㐺タィᡭἲࢆᵓ⠏ࡋ㸪✵ 㦁㡢ᇶ‽ ICAO Chap.4 ࠿ࡽタᐃࡉࢀࡿప㏿✵ຊᛶ⬟ࢆ㐩ᡂࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᮏゎᯒࡣ㸪ከࢭࢢ࣓ࣥࢺࡢ㧗ᥭຊ⿦⨨ࢆ᭷ࡍࡿ」㞧ᙧ≧࡛࠶ࡾ㸪ࡉࡽ࡟㧗ࣞ࢖ࣀࣝࢬᩘࡢ ᨭ㓄ὶࢀ࡛࠶ࡿࡓࡵ㧗࠸᱁Ꮚศゎ⬟ࡀᚲせ࡞ィ⟬㈇Ⲵࡢ኱ࡁ࠸ィ⟬࡛࠶ࡗࡓ㸬ࡲࡓ㸪㧗ᥭຊ⿦⨨ࡢ᭱㐺タィࢆ⾜࠺ࡓࡵ㸪200ࢣ࣮ࢫࢆ㉸࠼ࡿ኱つᶍィ⟬ࢆ㝈ࡽࢀࡓᮇ㝈ࡲ࡛࡟ᐇ᪋ࡍࡿࡇ࡜ࡀồࡵࡽࢀࡿ㸬஦ᴗࡢ┠ᶆࢆᮇ㝈ෆ࡟㐩ᡂࡍࡿ࡟ࡣ኱つᶍゎᯒࢆ㎿㏿࡟ᐇ᪋ࡍࡿࡇ࡜ࡀᚲせ࡛࠶ࡾ㸪ࢫࣃࢥࣥࡣ஦ᴗ┠ᶆ㐩ᡂ࡟࠾࠸࡚㔜せ࡞ᙺ๭ࢆᯝࡓࡋ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
Pointwise࡜CATIAࢆ⤌ࡳྜࡏࡓ⮬ື᱁Ꮚ⏕ᡂࢶ࣮ࣝ(FlexFlap)ࢆ㛤Ⓨࡋ㸪QSST3.2ḟ඲ᶵᙧ≧ࡢ
HLD᭱㐺タィࢆ⾜ࡗࡓ㸬๓⦕ࣇࣛࢵࣉ࠾ࡼࡧᚋ⦕ࣇࣛࢵࣉࡢ⯦ゅࡸᙧ≧ࡢ᭱㐺໬ࢆᐇ᪋ࡋ㸪㞳╔㝣᫬ࡢ✵ 㦁㡢పῶ┠ᶆ࠿ࡽタᐃࡉࢀࡓప㏿✵ຊᛶ⬟せồࡢᥭᢠẚ࡟ᑐࡋ㸪ࡉࡽ࡟13%ࢆྥୖࡉࡏࡿᥭᢠẚ≉ᛶࡀᚓࡽࢀ㸪㞳╔㝣✵ຊ㦁㡢పῶ┠ᶆࢆ㐩ᡂࡋࡓ㸬䠉㻤㻟䠉

HPC@JAXA2015㻌㻌㻌
ᅗ 1 QSST3.2 ḟᙧ≧㧗ᥭຊ⿦⨨᭱㐺タィ࡟ࡼࡿᥭᢠẚᨵၿ㸸Improvement of the lift-to-drag ratio by the HLD optimization on QSST㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5㹼20᫬㛫
ࢣ࣮ࢫᩘ㸸
200ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
512ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ1) ኱ᖹၨ௓㸪㒌 ᮾ₶㸸㉸㡢㏿⯟✵ᶵࡢ๓⦕࣭ᚋ⦕ࣇࣛࢵࣉ᭱㐺タィ࡟㛵ࡍࡿ◊✲(Optimum design of theleading edge / trailing edge flaps on the supersonic transport), ➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪ᯇᒣ㸪
2015.11.
2) 㸦Ⓨ⾲ணᐃ㸪accept῭ࡳ㸧Keisuke Ohira, Dongyoun Kwak㸸Study on Vortical Flow Field overSupersonic Transport, First International Symposium on Flutter and its Application, Tokyo, Japan,
2016. 5.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

2,376,351.45

275,534.06

䠉㻤㻠䠉SORA-LM

1,405.00

SORA-TPP

1,313.80

HPC@JAXA2015㻌㻟㻣㻚㻌㻸㻼㼀 䝣䝷䝑䝍ゎᯒ㻌
Numerical Analyses of LPT flutter㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪す⃝ᩄ㞝(nishizawa.toshio@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 aFJR ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪㈡⃝㡰୍(kazawa.junichi@jaxa.jp)ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪ྜྷ಴ᘯ㧗㻌 ஦ᴗࡢ┠ⓗẸ㛫࢚ࣥࢪࣥࡢ⎔ቃ㐺ྜᛶྥୖ࡟㈨ࡍࡿᕪู໬ᢏ⾡ࢆ⋓ᚓࡋ㸪ᡃࡀᅜࡢ࢚ࣥࢪࣥ⏘ᴗࡢᅜ㝿➇தຊࢆᙉ໬ࡋ࡚ḟࡢᅜ㝿ඹྠ㛤Ⓨ࡛ࢩ࢙࢔ࢆ☜ಖ࣭ᣑ኱ࡋ㸪ᅜෆ࢚ࣥࢪࣥ⏘ᴗࡢ⏕⏘㧗ࡀᡂ㛗ࡍࡿࡇ࡜࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆపᅽࢱ࣮ࣅࣥ࡟࠾ࡅࡿ⩼ิࣇࣛࢵࢱ࡟ࡘ࠸࡚㸪ᩘ್ゎᯒ࡟ࡼࡿண ⢭ᗘࢆྥୖࡉࡏࡿࡇ࡜࡟ࡼࡾ࢚ࣥ
ࢪࣥ࡜ࡋ࡚ࡢಙ㢗ᛶྥୖ࡟ᐤ୚ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ὶయ࣭ᵓ㐀㐃ᡂゎᯒࢆᐇ᪋ࡍࡿሙྜ㸪༙࿘ࡸ඲࿘࡜࠸ࡗࡓ኱つᶍ࡞ィ⟬ࡀᚲせ࡜࡞ࡿࡓࡵ㸪ࢫࣃࢥࣥ฼⏝ࡣᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ὶయ࣭ᵓ㐀㐃ᡂゎᯒࢆ JSS2 ୖ࡛ᐇ᪋㸬⩼᣺ື᣺ᖜࡀⓎᩓࡍࡿ≧ἣࢆᶍᨃ࡛ࡁࡓ㸬䠉㻤㻡䠉

HPC@JAXA2015㻌㻌
ᅗ1 ⩼᣺ື᣺ᖜࡢ᫬㛫ᒚṔ
㸸Time history of blade oscillation amplitude㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

1500᫬㛫
3ࢣ࣮ࢫ
192ࣉࣟࢭࢫ1ࢥ࢔
MPI࡞ࡋ
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]2,463,620.09

SORA-PP

23,567.37

䠉㻤㻢䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻟㻤㻚㻌㻹㼡㼘㼠㼕㻙㻲㼕㼐㼑㼘㼕㼠㼥 䜰䝥䝻䞊䝏䛻䜘䜛᥎㐍⣔⤫ྜᙧែ㉸㡢㏿ᶵ䛾✵ຊ᭱㐺໬㻌
Aerodynamic optimization of propulsion/airframe integration using multi-fidelity approach㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ࣁࣈ஦ᴗ㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪∾㔝ዲ࿴(makino@chofu.jaxa.jp)ᵓᡂဨ㸸㤳㒔኱Ꮫᮾி㸪㔠ᓮ㞞༤(kana@sd.tmu.ac.jp)㤳㒔኱Ꮫᮾி㸪ᓊ ♸ᕼ(kishi-yuki@ed.tmu.ac.jp)㤳㒔኱Ꮫᮾி㸪໭ᓮៅဢ(kitazaki-shinya@ed.tmu.ac.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶⯟✵㍺㏦ࡢࣈ࣮ࣞࢡࢫ࣮ࣝ࡜ࡋ࡚ࡢ㉸㡢㏿᪑ᐈᶵࡢᐇ⌧ࢆ┠ᣦࡋ࡚ࠕ㟼࠿࡞㉸㡢㏿᪑ᐈᶵࠖࡢᐇ
⌧࡟ᚲせ࡞㘽ᢏ⾡ࢆ⋓ᚓࡋ㸪⯟✵ᶵ〇㐀⏘ᴗࡢⓎᒎ࡜ᑗ᮶⯟✵㍺㏦ࡢࣈ࣮ࣞࢡࢫ࣮ࣝ࡟㈉⊩ࡍࡿࡇ࡜ࢆ
┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ50 ே஌ࡾࢡࣛࢫࡢᑠᆺ㉸㡢㏿᪑ᐈᶵ࡟࠾࠸࡚㸪ࢯࢽࢵࢡࣈ࣮࣒ᙉᗘ༙ῶ㸪ᕠ⯟ᥭᢠẚ 8.0 ௨ୖ㸪㞳╔㝣᫬㦁㡢 ICAO Cp.4 㐺ྜ㸪඲㔠ᒓᶵయ㸦ࢥࣥࢥࣝࢻᢏ⾡㸧࡟ẚ࡭࡚ᵓ㐀㔜㔞 15%ῶࡢ 4 ࡘࡢᢏ⾡┠ᶆࢆ‶㊊ࡍࡿᶵయᴫᛕࢆᥦ♧ࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᮏ஦ᴗ࡛⋓ᚓࡍ࡭ࡁపࣈ࣮࣒㸭ప᢬ᢠ᭱㐺タィᢏ⾡ࡣ㸪ࢯࢽࢵࢡࣈ࣮࣒ࡢ㧗⢭ᗘ᥎⟬ࡢࡓࡵᶵయࡀⓎ⏕ࡍࡿ⾪ᧁἼࢆᶵయ㏆ഐሙ࡛⢭ᗘⰋࡃ᥎⟬ࡍࡿᚲせࡀ࠶ࡾ㸪ࢫࣃࢥࣥ฼⏝ࡀᚲ㡲࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᶵయ᥎㐍⣔⤫ྜ᭱㐺タィ࡛ࡣ㸪࢚ࣥࢪࣥࢼࢭࣝࡶྵࡴ」㞧ᙧ≧࡟ᑐࡋ࡚ከᩘࡢCFDゎᯒࡀᚲせ࡜࡞ࡾ㸪タィᮇ㛫ࡢ㛗ᮇ໬ࡀ㑊ࡅࡽࢀ࡞࠸㸬ᮏ◊✲࡛ࡣ᭱㐺タィ࡟࠾ࡅࡿィ⟬ࢥࢫࢺࡢపῶࡢࡓࡵ㸪ࣃࢿࣝἲ࣋
࣮ࢫࡢపᛅᐇᗘ㸦Low-fidelity㸧ゎᯒࢆ᥼⏝ࡋ࡚CFD࡟ࡼࡿ㧗ᛅᐇᗘ㸦High-fidelity㸧ゎᯒࡢᅇᩘࢆ᭱ᑠ
㝈࡜ࡍࡿMulti-fidelity᭱㐺タィᡭἲࢆ⪃᱌ࡋ㸪JAXAᑠᆺ㉸㡢㏿᪑ᐈᶵᴫᛕᙧ≧㸦➨3.3ḟᙧ≧㸧ࡢప᢬ᢠタィ࡟㐺⏝ࡋࡓ㸬ᮏタィᡭἲ࡟࠾࠸࡚ࡣ㸪ୖグゎᯒᡭἲࡢᛅᐇᗘࡢࡳ࡞ࡽࡎ㸪࢚ࣥࢪࣥࢼࢭࣝ᭷↓࡜࠸ࡗࡓᙧ≧ᛅᐇᗘ࡟ࡶMulti-fidelity᭱㐺タィᡭἲࢆ㐺⏝ࡋ㸪ࢼࢭࣝ↓ࡋᙧែࡢࣃࢿࣝἲゎᯒ࡜ࢼࢭࣝ௜ࡁᙧែࡢCFDゎᯒࢆ⤌ࡳྜࢃࡏࡓ᭱㐺タィࢆᐇ᪋ࡋ㸪ࡑࡢ᭷ຠᛶࢆ☜ㄆࡋࡓ㸬䠉㻤㻣䠉

HPC@JAXA2015㻌㻌㻌
ᅗ 1 Multi-fidelity ᭱㐺タィᡭἲ㸸Design optimization using multi-fidelity approach.

㻌ᅗ 2 ప᢬ᢠ᭱㐺タィ⤖ᯝ౛㸸Drag minimization design result.
(Left: Low-drag geometry, Right: High-drag geometry)㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
8᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸48ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM䠉㻤㻤䠉HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ࡁㄽᩥ
1) ᓊ ♸ᕼ㸪㔠ᓮ㞞༤㸪∾㔝ዲ࿴㸪ᯇᓥ⣖బ㸪ࠕ㉸㡢㏿⩼ࡢ㑄㡢㏿㸭㉸㡢㏿✵ຊᛶ⬟࡟୚࠼ࡿᖹ㠃ᙧࡢᙳ㡪ࠖ㸪Journal of Flow Control, Measurement & Visualization㸪2016.
ཱྀ㢌Ⓨ⾲2) ᓊ ♸ᕼ㸪㔠ᓮ㞞༤㸪∾㔝ዲ࿴㸪ᯇᓥ⣖బ㸪ࠕ㉸㡢㏿⩼࡟࠾ࡅࡿ✵ຊᛶ⬟ࡢ⩼ᖹ㠃ᙧ౫Ꮡᛶ࡟㛵ࡍࡿ᳨ドࠖ㸪12th International Conference on Flow Dynamics㸪2016.
3) ᪂஭ ⩧㸪㔠ᓮ㞞༤㸪∾㔝ዲ࿴㸪ࠕ࢚ࣥࢪࣥ⤫ྜᙧែ࡟࠾ࡅࡿ㉸㡢㏿ᶵ୺⩼᭱㐺タィࠖ
㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪2016.
4) ᪂஭ ⩧㸪㔠ᓮ㞞༤㸪∾㔝ዲ࿴㸪
ࠕMulti-fidelityホ౯ࢆᛂ⏝ࡋࡓ㉸㡢㏿ᶵ࢚ࣥࢪࣥ⤫ྜタィࠖ
㸪➨47ᅇὶ
యຊᏛㅮ₇఍㸭➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪2016.
5) ᓊ ♸ᕼ㸪㔠ᓮ㞞༤㸪∾㔝ዲ࿴㸪ᴋ℩୍ὒ㸪ᯇᓥ⣖బ㸪ࠕ㉸㡢㏿⩼࡟࠾ࡅࡿ✵ຊᛶ⬟ࡢ⩼ᖹ㠃ᙧ౫Ꮡᛶ࡟
㛵ࡍࡿ᳨ドࠖ
㸪➨47ᅇὶయຊᏛㅮ₇఍㸭➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪2016.
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,724,579.76

SORA-PP

52,236.26

䠉㻤㻥䠉SORA-LM

942.42

SORA-TPPHPC@JAXA2015㻌㻟㻥㻚㻌 ⇕ᖏ㝆㞵ほ ⾨ᫍ䠄㼀㻾㻹㻹䠅䠋㝆㞵䝺䞊䝎䞊䠄㻼㻾䠅㐠⏝஦ᴗ㻌
Research of Tropical Rainfall Measuring Mission (TRMM)/ Precipitation Radar (PR)㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪Ἀ ⌮Ꮚ(oki.riko@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪ஂಖ⏣ᣅᚿ(kubota.takuji@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪ྍ▱⨾బᏊ(kachi.misako@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
TRMM⾨ᫍ✌ാᮇ㛫ࡢ඲⌫㞵ศᕸࢹ࣮ࢱࢆసᡂࡍࡿࡇ࡜㸬
TRMM ⾨ᫍ㝆㞵࣮ࣞࢲ(PR)ࡢḟᮇࣂ࣮ࢪࣙࣥ(V8)ࡢヨ㦂ฎ⌮ࢆ⾜࠺ࡇ࡜㸬㻌 ஦ᴗࡢ┠ᶆ
2000ᖺ㹼2010ᖺࡢ඲⌫㞵ศᕸࢹ࣮ࢱࢆ㸪GSMaP࢔ࣝࢦࣜࢬ࣒㸦V3㸧ࢆ⏝࠸ࡓฎ⌮ࡍࡿࡇ࡜㸬2014 ᖺ 6 ᭶㸪TRMM ⾨ᫍ࡜ GPM ⾨ᫍࡀྠ᫬ほ ࡋ࡚࠸ࡿᮇ㛫࡟ࡘ࠸࡚ PR ࢔ࣝࢦࣜࢬ࣒(V8)࡜ DPR࢔ࣝࢦࣜࢬ࣒(V5)ࡢ㐃⥆ᛶࢆ☜ㄆࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
」ᩘࢭࣥࢧࢹ࣮ࢱࢆ⏝࠸ࡓ㛗ᮇฎ⌮ࢆ▷ᮇ㛫࡛ฎ⌮ࡍࡿࡇ࡜㸬PR & DPR࢔ࣝࢦࣜࢬ࣒ࢆ▷ᮇ㛫࡛ฎ⌮ࡍࡿ࡜࡜ࡶ࡟㸪ࢫࣃࢥࣥฎ⌮࡛ࡢጇᙜᛶࢆ☜ㄆࡍࡿࡇ࡜㸬㸦PR V8 ṇᘧฎ⌮ࡣ㸪jindai࡛ࡢฎ⌮ࡀணᐃࡉࢀ࡚࠸ࡿࡓࡵ㸧㸬㻌 ௒ᖺᗘࡢᡂᯝ
2000ᖺ㹼2010ᖺࡢ඲⌫㞵ศᕸࢹ࣮ࢱ࡟ࡘ࠸࡚㸪GSMaP࢔ࣝࢦࣜࢬ࣒㸦V3㸧ࢆ⏝࠸ࡓฎ⌮ࡀ᏶஢ࡋࡓ㸬
2014ᖺ6᭶ࡢ PR V8 ࠾ࡼࡧ DPR V5 ヨ㦂ฎ⌮ࡀ᏶஢ࡋ㸪ࡑࡢ㐃⥆ᛶ࣭ጇᙜᛶࢆ☜ㄆ࡛ࡁࡓ㸬䠉㻥㻜䠉

HPC@JAXA2015࠙඲⌫㞵ศᕸࢹ࣮ࢱࠚ㻌㻌
ᅗ1 㸺GSMaPࡢ㞵㔞ศᕸᅗ (1᫬㛫㞵㔞)㸼
㸸㸺Rain rate image of GSMaP (hourly)㸼

㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
ࢣ࣮ࢫᩘ㸸

24᫬㛫
10ࢣ࣮ࢫ
*1ࢣ࣮ࢫ=1ᖺ㸦ᖺ㛫᪥ᩘ24㸧༢఩࡛ᐇ⾜ᅗ1ࡣ1᫬㛫㞵㔞ᅗࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
60ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-TPP࠙359ヨ㦂ฎ⌮ࠚ

ᅗ2 TRMM/PR(V8)࡜GPM/DPR(V5)ࡢᾏ㠃ᩓ஘᩿㠃✚㸦ᕥᅗ㸧࡜TRMM/PR(V8)࡟ᑐࡍࡿGPM/DPR(V5)ࡢᕪศ㸦ྑᅗ㸧㸸Normalized backscattering radar cross section of the sea surface
calculated by TRMM/PR(V8) and GPM/DPR(V5) (left) anddifferences between TRMM/PR(V8) and GPM/DPR(V5) (right).

䠉㻥㻝䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
ࢣ࣮ࢫᩘ㸸

36᫬㛫
3ࢣ࣮ࢫ
ࢣ࣮ࢫ ࢝᭶༢఩࡛ᐇ⾜ 35 '35 ᅗࡣ᫬㛫㞵㔞ᅗࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
60ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Ἀ ⌮Ꮚ㸪ஂಖ⏣ᣅᚿ㸪ྍ▱⨾బᏊ㸪ṇᮌᓅᚿ㸪㔠Ꮚ᭷⣖㸪2015: ඲⌫㝆Ỉほ ィ⏬㸦GPM㸧ࡢᆅୖࢩࢫࢸ࣒࡜ึᮇᡂᯝ㸸(2) ࢹ࣮ࢱฎ⌮࢔ࣝࢦࣜࢬ࣒࡜ึᮇほ ᡂᯝ, ᪥ᮏ⯟✵ᏱᐂᏛ఍ㄅ, 63(9), 281-287.
2) ྍ▱⨾బᏊ㸪ஂಖ⏣ᣅᚿ㸪Ἀ ⌮Ꮚ㸪2015: ඲⌫㝆Ỉほ (GPM)ィ⏬ࡢ฼⏝ᐇド㸪᪥ᮏ⯟✵ᏱᐂᏛ఍ㄅ㸪
63(10), 321-325.
ཱྀ㢌Ⓨ⾲3) ྍ▱⨾బᏊ࣭ஂಖ⏣ᣅᚿ࣭Ἀ ⌮Ꮚ㸪2015: GSMaPࣜ࢔ࣝࢱ࢖࣒∧㸦GSMaP_NOW㸧࡜෌ゎᯒ∧
GSMaP_RNL㸧ࡢ㛤Ⓨ㸪2014ᖺ10᭶㸪᪥ᮏẼ㇟Ꮫ఍⛅Ꮨ኱఍㸪ி㒔4) M. Kachi, T. Kubota and R. Oki, 2016: Utilization of Himawari-8 in the Global Satellite Mapping ofPrecipitation (GSMaP) Realtime version, 2016 AMS Annual Meeting, January 2016, New Orleans,USA.
5) ஂಖ⏣ᣅᚿ㸪ྍ▱⨾బᏊ㸪Ἀ ⌮Ꮚ㸪ṇᮌᓅᚿ㸪2016㸸඲⌫㝆Ỉほ ィ⏬࡟ࡼࡿ㧗⢭ᗘ࣭㧗㢖ᗘ࡞⾨ᫍ㝆Ỉほ 㸪᪥ᮏᾏὒᏛ఍ 2016ᖺᗘ᫓Ꮨ኱఍㸪ᮾி㸪ᣍᚅㅮ₇.
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

6,128.84

䠉㻥㻞䠉SORA-LM

SORA-TPP

28,057.47

HPC@JAXA2015㻌㻠㻜㻚㻌 Ᏹᐂ⯟✵ᢏ⾡䛾⥔ᣢ䞉ᙉ໬䛻ಀ䜛◊✲䐡䛭䛾௚䛾◊✲䠄」ྜ䝃䜲䜽䝹䜶䞁䝆䞁䠄㻾㻮㻯㻯䠅䛾ᇶ┙ⓗ◊✲䠅㻌
Fundamental Research on Rocket Based Combined Cycle (RBCC) Engines㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪ྜྷ⏣ ㄔ(yoshida.makoto@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪᳜⏣ಟ୍(ueda.shuichi@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪ᑠᑎṇᩄ(kodera.masatoshi@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㧗ᶫᨻᾈ(takahashi.masahiro@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪Ώ㑓Ꮥᏹ(watanabe.takahiro@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶ࡢᏱᐂ㍺㏦ࢩࢫࢸ࣒࡟ồࡵࡽࢀࡿ㡯┠࡜ࡋ࡚పࢥࢫࢺ໬࠾ࡼࡧ㧗ຠ⋡໬ࡀᣲࡆࡽࢀ࡚࠾ࡾ㸪ࡇࢀࡽࢆ‶ࡓࡍྍ⬟ᛶࡢ࠶ࡿ᥎㐍࢚ࣥࢪࣥ࡜ࡋ࡚ࣟࢣࢵࢺ࡜✵Ẽ྾㎸ࡳᘧ࢚ࣥࢪ࡛ࣥ࠶ࡿ࣒࣭ࣛࢫࢡ࣒ࣛࢪ
࢙ࢵࢺࡢ」ྜࢧ࢖ࢡࣝ㸦RBCC㸧࢚ࣥࢪࣥ࡟ࡘ࠸࡚◊✲ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ᭱⤊┠ᶆࡣ RBCC ࢚ࣥࢪࣥࢆ⏝࠸ࡓ஧ẁᘧᏱᐂ㍺㏦㸦TSTO㸧ࢩࢫࢸ࣒ࡢᐇ⏝໬࡛࠶ࡿࡀ㸪ࡑࡢ๓ẁ㝵࡜ࡋ࡚ᆅୖᐇ㦂࠾ࡼࡧ㣕⾜ᐇ㦂࡟ࡼࡿྠ࢚ࣥࢪࣥࡢᢏ⾡ᐇドࢆᙜ㠃ࡢ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࣃࢥࣥࢆ฼⏝ࡋࡓCFDᢏ⾡ࢆྠ◊✲࡟㐺⏝ࡍࡿࡇ࡜࡟ࡼࡾ㸪RBCC࢚ࣥࢪࣥࡢᇶ┙ᢏ⾡☜❧࡟ᐤ୚ࡍࡿ㸬≉࡟ྠ࢚ࣥࢪࣥࡢタィ࡟㔜せ࡞ෆ㒊ࡢὶࢀᵓ㐀ࡢヲ⣽ゎ᫂㸪ཬࡧᐇ㦂ࡢࡳ࡛ࡣ᝟ሗࡀ୙༑ศ࡞࢚
ࣥࢪࣥࡢసື≉ᛶࢆゎ᫂ࡍࡿᙺ๭ࡀᮇᚅࡉࢀࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
1. ᐇ㦂⏝࡟〇సࡋࡓ RBCC ࢚ࣥࢪࣥ E3 ࡢ⇞↝ჾࢆᶍᨃࡋࡓᙧ≧࡟ᑐࡋ࡚㸪࣒࣭ࣛࢫࢡ࣒࣮ࣛࣔࢻ㛫ࡢ㑄⛣㐣⛬ࢆ㠀ᐃᖖ RANS ἲࢆ⏝࠸࡚ゎᯒࡋࡓ㸬㸦᫖ᖺᗘ࠿ࡽࡢ⥅⥆㸧ᮏᖺᗘࡣ㸪ᄇᑕ⇞ᩱᙜ㔞ẚࡸᄇᑕ఩⨨㸪ࣟࢣࢵࢺฟຊࢆኚ໬ࡉࡏࡓሙྜ➼࡟ࡘ࠸᳨࡚ウࢆ⾜ࡗࡓ㸬㸦ᅗ 1㸧
2. ᩘ✀ࡢ⥲ᣓ཯ᛂࣔࢹࣝࢆ⏝࠸࡚㸪࢞ࢫ࢚ࢱࣀ࣮ࣝࢆቨ㠃ᆶ┤ᄇᑕࡋࡓ᫬ࡢ࢟ࣕࣅࢸ࢕௜㉸㡢㏿⇞↝ჾෆ㒊ࡢ⇞↝ὶࢀሙ࡟ࡘ࠸࡚ゎᯒࢆ⾜ࡗࡓ㸦᫖ᖺᗘ࠿ࡽࡢ⥅⥆㸧㸬ᮏᖺᗘࡣ RANS ἲࡢ௚࡟ Hybrid
RANS/LES ἲࢆ㐺⏝ࡋ㸪୧⪅ࡢ⤖ᯝࡢẚ㍑ࢆ⾜ࡗࡓ㸬㸦ᅗ 2㸧
3. 㣕⾜ᐇ㦂ᶵࢆᶍࡋࡓ⡆᫆⩼⬗ࣔࢹࣝࢆ౛࡟㸪Hexagrid ࡟ࡼࡿ⮬ື᱁Ꮚ⏕ᡂ࡜ FaSTAR ࡟ࡼࡿ✵ຊ≉ᛶゎᯒࡢ౑⏝ἲ⩦ᚓ࠾ࡼࡧࣀ࢘ࣁ࢘⵳✚ࢆ㐍ࡵ㸪㐺⏝ࡢ┠㏵ࢆᚓࡓ㸬
㸦ᅗ 3㸧

䠉㻥㻟䠉

HPC@JAXA2015
㻌

㻌

㻌

㻌

㻌

㻌

㻌

㻌
ᅗ1 ࣒ࣛࢪ࢙ࢵࢺ࣮ࣔࢻ࠿ࡽࡢ㑄⛣㐣⛬㸦ᅽຊศᕸࡢ᫬㛫ᒚṔ㸧㸸Time variation of pressure contours for transition from ramjet mode㻌࠙ィ⟬᝟ሗࠚ
200᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
24ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP䠉㻥㻠䠉HPC@JAXA2015

ᅗ2 RANSἲ㸦ୖ㸧࡜Hybrid RANS/LESἲ㸦ୗ㸧࡟ࡼࡿ⤖ᯝࡢẚ㍑㸦ᑐ⛠㠃ୖࡢ ᗘศᕸ㸧
㸸 Comparison of computational results between RANS and Hybrid
RANS/LES methods (Temperature contours on symmetry plane)࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
720᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸24ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PPᅗ3 ⡆᫆⩼⬗ࣔࢹࣝࡢ➼ᅽ⥺ᅗ㸦Mach 5㸪㏄ゅ5ᗘ㸧㸸Pressure contours: Mach 5, AOA = 5 deg.

࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
4᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
60ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP䠉㻥㻡䠉HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Kodera, M. and Ueda, S., “Numerical Analysis of Transient Phenomena to Ramjet Mode in a RBCC
Combustor”, AIAA Paper 2015-3591.
ཱྀ㢌Ⓨ⾲2) Kodera, M. and Ueda, S., “Numerical Analysis of Transient Phenomena to Ramjet Mode in a RBCC
Combustor”, 20th AIAA International Space Planes and Hypersonic Systems and Technologies
Conference, 6-9 July 2015, Glasgow, Scotland.

ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

1,179.16

SORA-PP

24,817.52

䠉㻥㻢䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻠㻝㻚㻌 ᾮయ䝻䜿䝑䝖䜶䞁䝆䞁ཬ䜃Ᏹᐂᶵ䝇䝷䝇䝍䛾⇞↝㛵㐃ゎᯒ㻌
Numerical simulations on liquid rocket engine and spacecraft thruster㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ࣭ ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ΎỈኴ㑻(shimizu.taro@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪᳃஭㞝㣕(morii.yuuhi@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᮏỤᖿᮁ(motoe.mikiroh@jaxa.jp)ᰴᘧ఍♫ィ⟬ຊᏛ◊✲ࢭࣥࢱ࣮㸪㟷㔝῟ஓ(aono.jyunya@jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪⳻⏣ Ꮫ(MANABU_HISHIDA@mail.ryoyu.co.jp)㻌 ஦ᴗࡢ┠ⓗᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥཬࡧᏱᐂᶵࢫࣛࢫࢱࡢタィ㛤Ⓨࢆᨭ࠼ࡿࡓࡵ㸪ᩘ್ゎᯒ࡟ࡼࡿタィホ౯ࢶ࣮ࣝࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᾮయࣟࢣࢵࢺࡢ㠀ᐃᖖ⌧㇟࡛࠶ࡿ⇞↝᣺ື➼ࢆண ࡛ࡁࡿࢶ࣮ࣝࢆᵓ⠏ࡍࡿࡓࡵ㸪ࢥ࣮ࢻࡢᨵⰋཬࡧ
ࢧࣈࢫࢣ࣮ࣝヨ㦂➼࡜ࡢẚ㍑࡟ࡼࡾ᳨ドࢆᐇ᪋ࡍࡿ㸬ࢫࣛࢫࢱゎᯒࡶྠᵝ࡟୺࡜ࡋ࡚ᐃᖖᛶ⬟ࢆண ࡛ࡁࡿホ౯ࢶ࣮ࣝࡢᵓ⠏ࢆ┠ᣦࡋ㸪ࢥ࣮ࢻ㛤Ⓨ࡜᳨ドࢆᐇ᪋ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᾮయ᥎㐍⸆ࡢ⇞↝ࡣ஘ὶ≧ែ࡛࠿ࡘ㸪㠀ᐃᖖ࡞≉ᛶࢆ᭷ࡍࡿࡓࡵ㸪LESゎᯒࡀᚲ㡲࡜࡞ࡗ࡚࠸ࡿ㸬ᮏ᳨ドᑐ㇟࡛ࡶᩘ༓୓ࢭࣝࡢ᱁Ꮚ࡟ᑐࡋ࡚㸪ᩘⓒ୓ࢫࢸࢵࣉ⛬ᗘࡢゎᯒィ⟬ࡀᚲせ࡛࠶ࡿࡓࡵ㸪ࢫࣃࢥࣥࡢ฼⏝࡞ࡋ࡟ࡣ฿ᗏ┠ᶆࢆ㐩ᡂ࡛ࡁ࡞࠸㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᾮయࣟࢣࢵࢺࡢࢧࣈࢫࢣ࣮ࣝ⇞↝ჾ࡛Ⓨ⏕ࡋࡓ⇞↝≧ែࡢ෌⌧ゎᯒࢆ⥅⥆ࡋࡓ㸬ᅗ1࡟ࡣᅽຊ᣺ື࡞ࡋ
㸦case1㸧࡜㸪࠶ࡾ㸦case2㸧ࡢ ᗘሙࡢᵝᏊࢆ♧ࡍ㸬ᮏᖺᗘࡣ᱁Ꮚᩘࢆቑࡸࡋ≉࡟⇞↝ჾᚋ➃௜㏆ࡢΰྜࢆࡼࡃゎീ࡛ࡁࡿゎᯒࢆᐇ᪋ࡋࡓ㸬ᐇ㦂࡛ᚓࡽࢀ࡚࠸ࡿ⇞↝ᅽ࡜ࡢ୍⮴ࡀ኱ࡁࡃᨵၿࡋࡓ㸬࢚ࢱࣀ࣮ࣝࢆ⇞ᩱ࡜ࡋࡓᄇ㟝ࣂ࣮ࢼࡢヲ⣽໬Ꮫ཯ᛂᶵᵓࢆ⏝࠸ࡓ⇞↝ゎᯒࢆᐇ᪋ࡋ㸪ᐇ㦂⤖ᯝ࡜ゎᯒ⤖ᯝࢆẚ㍑ࡍࡿࡇ࡜࡛ࢥ࣮ࢻࡢ⢭ᗘホ౯ࢆ㛤ጞࡋࡓ㸬ᅗ2࡟ࡣ ᗘࡢ▐᫬ሙࢆ♧ࡍ㸬ᄇ㟝≧ែ࠿ࡽ⵨Ⓨࡋࡓ࢚ࢱࣀ࣮ࣝࡀᏳᐃࡋ࡚⇞↝ࡍࡿᡤࡲ࡛ゎᯒ࡛ࡁࡿࡼ࠺࡟࡞ࡗࡓ㸬ࡋ࠿ࡋⅆ⅖ࡢᗈࡀࡾゅࡀᐇ㦂ࡼࡾࡶᑠࡉࡃ᱁Ꮚゎീᗘ➼ࢆぢ┤ࡋࡓゎᯒࡀᚲせ࡜⪃࠼ࡽࢀࡿ㸬䠉㻥㻣䠉

HPC@JAXA2015
㻌
㻌㻌
㻌
㻌
㻌
Case1

㻌
㻌
㻌
㻌

Case2
ᅗ1 ᾮయࣟࢣࢵࢺࢧࣈࢫࢣ࣮ࣝ⇞↝ჾෆࡢ ᗘሙ㸸Temperature of a liquid rocket subscale chamber on two flow conditions

ᅗ2 ᄇ㟝⇞↝ࡢ ᗘศᕸ㸸Temperature distribution of Spray combustion㻌࠙ィ⟬᝟ሗࠚ
800᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
3ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
2496ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 2496ࢥ࢔
ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
MPI฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ≉㞟グ஦1) ᳃஭㞝㣕㸪ᑎᓥὒྐ㸪͆ヲ⣽໬Ꮫ཯ᛂᶵᵓࢆ⏝࠸ࡓ཯ᛂᛶὶయゎᯒ࡟࠾ࡅࡿ㧗ຠ⋡ゎᯒᡭἲ͇㸪᪥ᮏ࢞ࢫࢱ࣮ࣅࣥᏛ఍3᭶ྕ㸬ཱྀ㢌Ⓨ⾲2) T. Shimizu, Y. Morii, Y. Mizobuchi, Y. Numone, T. Tomita, H. Kawashima, M. Hishida, “Oscillatory
combustion in a subscale liquid rocket chamber,” 15th International Conference on Numerical
Combustion. 2015.
3) Mikiro Motoe, “Numerical Analysis of Combustion for Droplet of Hydrazine,” 6TH EUROPEAN
CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES, 2015.
4) ᮏỤᖿᮁ㸪ྠ㍈ࣂ࣮ࢼ࡟ࡼࡿᄇ㟝⇞↝ࡢヲ⣽཯ᛂᶵᵓࢆ⏝࠸ࡓᩘ್ゎᯒ㸪➨53ᅇ⇞↝ࢩ࣏ࣥࢪ࣒࢘㸪
2015㸬

䠉㻥㻤䠉

HPC@JAXA2015ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]33,345,581.83

SORA-PP

330,779.26

㻌

䠉㻥㻥䠉

SORA-LM

288.78

SORA-TPP

103,583.63

HPC@JAXA2015㻌㻠㻞㻚㻌 ᾮయ䝻䜿䝑䝖䜶䞁䝆䞁⇞↝ჾᛶ⬟䞉ᑑ࿨ண ゎᯒ㻌
Numerical Simulations of Thrust/Cooling Performance and Life Time Predictionof Liquid Rocket Engine Combustors㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ ࣭ ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪᰿ᓊ⚽ୡ(negishi.hideyo@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪኱㛛 ඃ(daimon.yu@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪㞵ᕝὒ❶(amakawa.hiroaki@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᯇᮏ୓᭷(matsumoto.mayu@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࣟࢣࢵࢺ࢚ࣥࢪࣥ⇞↝ჾෆ㒊࡛Ⓨ⏕ࡍࡿ⇕ὶయ࠾ࡼࡧᵓ㐀ᣲືࢆ㐺ษ࡟෌⌧ࡋ㸪෌⏕෭༷࠾ࡼࡧ⇞↝ᐊᑑ࿨ࡢ≉ᛶࢆᐃ㔞ⓗ࡟ホ౯ྍ⬟࡞ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ෌⏕෭༷ゎᯒᢏ⾡࡜ࡋ࡚ࡣ㸪タィ㛤Ⓨࣉࣟࢭࢫ࡛฼⏝ྍ⬟࡞ゎᯒ⢭ᗘ(ᅽຊᦆኻ 7㸣㸪᪼ 㔞 5%㸪ቨ㠃ᗘ 50K ௨ෆ)ࢆ‶ࡓࡍᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡿホ౯ᢏ⾡ࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
෌⏕෭༷ゎᯒ࡛ࡣ㸪⇞↝࣭෭༷࣭⇕ᵓ㐀㐃ᡂ࡟ࡼࡿᐇᶵ㸦LE-X࠾ࡼࡧLE-5B࢚ࣥࢪࣥ㸧࡛ࡢᛶ⬟ホ౯ࡀᚲ㡲࡛࠶ࡾ㸪JSSࢆ฼⏝ࡍࡿࡇ࡜࡛࣐ࣝࢳࣇ࢕ࢪࢵࢡࢫ࠿ࡘィ⟬᱁Ꮚᩘ⣙2൨Ⅼࡢ኱つᶍィ⟬࡟ࡼࡾゎᯒࢆᐇ⌧ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ᐇࢫࢣ࣮ࣝ⇞↝ჾ(LE-5B㸪LE-X࢚ࣥࢪࣥ)ࢆᑐ㇟࡟෌⏕෭༷ゎᯒᢏ⾡ࡢ᳨ドࢆᐇ᪋㸬⇞↝-෭༷๣ഃ㐃ᡂィ⟬࡟ࡼࡾ┠ᶆ⢭ᗘࢆ㐩ᡂࡋࡓ㸬x ᇶ♏ヨ㦂㸦࣓ࢱࣥ㓟⣲ࢩࣥࢢ࢚࣓ࣝࣞࣥࢺ⇞↝ჾ㸧ࢆᑐ㇟࡜ࡋࡓ㸪⇞↝ᅽຊ࠾ࡼࡧቨ㠃⇕ὶ᮰ண ࡢᅜ㝿࣋ࣥࢳ࣐࣮ࢡࢆᐇ᪋㸬ཧຍᶵ㛵ࡢ୰࡛᭱㧗⢭ᗘࡢண ⤖ᯝࢆ♧ࡋࡓ䠉㻝㻜㻜䠉

HPC@JAXA2015
㻌
┠ᶆ⢭ᗘ

ゎᯒ

⇞↝ᅽ(N/A)-3.4%

ᅽຊᦆኻ㸦7%㸧
7%-0.7%

᪼ 㔞㸦5%㸧
5%

+4.5%

ቨ 㸦s
s
50K㸧
s50K

඲㡿ᇦ࡛s50K௨ෆ

ᅗ 1 LE-5B ࢚ࣥࢪ࡛ࣥࡢ෌⏕෭༷ᛶ⬟ண ᳨ド
㸸Validation results of regenerative cooling performance of LE-5B engine࠙ィ⟬᝟ሗࠚ
30᪥㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
2070ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Yu Daimon, Hiroshi Terashima, Hideyo Negishi, and Oskar Haidn, “Combustion Modeling Study
for a GCH4/GOX single element combustion chamber: Steady State Simulation and Validations,”
The SFB TRR40 3rd Summer Program report, 2015.
ཱྀ㢌Ⓨ⾲2) Hideyo Negishi, Yu Daimon, Nobuki Negoro, and Akihide Kurosu, “Regenerative Cooling
Performance Analysis of the LE-X Engine Combustion Chamber,” 51st AIAA/SAE/ASEE Joint
Propulsion Conference, 2015.
3) ᰿ᓊ࡯࠿㸪͆ᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥ⇞↝ჾࡢ෌⏕෭༷ᛶ⬟ண ࡢࡓࡵࡢ⇕-ὶయ㐃ᡂゎᯒ㸪͇➨28ᅇィ⟬ຊᏛㅮ₇఍㸪ᶓ὾ᅜ❧኱Ꮫ㸪2015ᖺ10᭶4) 㞵ᕝ࡯࠿㸪͆⇕-ὶయ-ᵓ㐀㐃ᡂゎᯒ࡟ࡼࡿᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥ⇞↝ᐊࡢ㧗 㠀ᙎᛶᣲືホ౯㸪͇➨28ᅇィ⟬ຊᏛㅮ₇఍㸪ᶓ὾ᅜ❧኱Ꮫ㸪2015ᖺ10᭶ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

33,345,581.83

330,779.26

㻌

䠉㻝㻜㻝䠉

SORA-LM

288.78

SORA-TPP

103,583.63

HPC@JAXA2015㻌㻠㻟㻚㻌 ᾮయ䝻䜿䝑䝖ୖẁ䝸䜶䞁䝖䝸᫬䛾ⴠୗศᩓᇦホ౯ἲ䛾ぢ┤䛧᳨ウᨭ᥼㻌Upgrade of Reentry Risk Analysis Method for Liquid Rocket Upper Stages
㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ ࣭ ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪⸨ᮏᆂ୍㑻(fujimoto.keiichiro@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪㇂ ὒᾏ(tani.hiroumi@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࣟࢣࢵࢺࡸᏱᐂᶵࡢᅜ㝿ⓗ࡞㣕⾜Ᏻ඲せồࡢཝ᱁໬࡬ࡢᑐᛂ㸪ཬࡧ෌✺ධ࢝ࣉࢭࣝᢏ⾡ࡢ⋓ᚓࢆᐇ⌧
ࡍࡿⅭ࡟㸪」㞧࡞≀⌮⌧㇟ࢆᗈ⠊ᅖ࡞᮲௳ୗ࡛ホ౯࡛ࡁࡿࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡿᏳ඲ᛶホ౯ᢏ⾡ࡢ⋓ᚓࢆ㐍ࡵ࡚࠸ࡿ㸬ᚑࡗ࡚㸪ᮏ஦ᴗࡢ┠ⓗࡣ㸪ᵝࠎ࡞ᨾ㞀ࢩࢼࣜ࢜ࡸ⎔ቃ᮲௳࡟ᑐࡍࡿࣁࢨ࣮ࢻࢩ࣑ࣗࣞ
࣮ࢩࣙࣥᢏ⾡ᵓ⠏ࡸຠ⋡໬㸪ཬࡧࡑࡢホ౯ᢏ⾡ࢆά⏝ࡋࡓ㛵㐃ࡍࡿࣉࣟࢪ࢙ࢡࢺㄢ㢟࡬ࡢᑐᛂ࡛࠶ࡿ㸬ᮏ୰ᮇィ⏬࡛ࡣ㸪࡜ࡃ࡟ H-IIA/B ࡸ HTV ➼ࡢ㣕⾜Ᏻ඲ホ౯ࡢไ⣙ぢ┤ࡋ࡜㸪ᑠᆺᅇ཰࢝ࣉࢭࣝᢏ⾡ᐇドᶵࡢタィ᳨ウᨭ᥼࡟㈉⊩ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡋ࡚࠸ࡿ㸬㻌 ஦ᴗࡢ┠ᶆᮏホ౯ᢏ⾡ࡢᐇ⏝໬࡟Ḟ࠿ࡏ࡞࠸ィ⟬ࢥࢫࢺࡢ๐ῶ࡟ᑐࡋ௨ୗࢆ┠ᶆ್࡜ࡋ⾜࠺㸬ձ ☜⋡ㄽⓗホ౯㸸ᛂ⟅᭤㠃⏕ᡂ᫬ࡢゎᯒᩘࡢ༙ῶ ղ ࣁࢨ࣮ࢻࢩ࣑࣮ࣗࣞࢩࣙࣥ㸸ὶయゎᯒࢱ࣮ࣥ࢔ࣛ࢘ࣥࢻ᫬㛫ࡢ༙ῶࡲࡓ㸪㧗ᛅᐇࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ᇶ࡙ࡃᏳ඲ホ౯ᢏ⾡ࢆ㛤Ⓨࡋᐇ⏝໬ࡍࡿࡇ࡜࡛㸪ࣟࢣࢵࢺୖẁࡸᏱᐂᶵࡢⴠୗศᩓᇦࡸ㣕⾜Ᏻ඲ゎᯒࡢ㧗⢭ᗘ໬࡟ࡼࡿ㣕⾜Ᏻ඲ไ⣙ࡢぢ┤ࡋࡸ㸪ᑠᆺᅇ཰࢝ࣉࢭࣝᢏ⾡ᐇドࣉࣟࢪ࢙ࢡࢺ࡬ࡢ㈉⊩ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
H-IIA/BࡸHTV➼ࡢ㣕⾜Ᏻ඲ホ౯ࡢไ⣙ぢ┤ࡋࡸᑠᆺᅇ཰࢝ࣉࢭࣝᢏ⾡ᐇドᶵࡢタィ᳨ウࡢࡓࡵ࡟ࡣ㸪ᵝࠎ࡞୙☜ᐃᅉᏊࢆ⪃៖ࡋࡓ☜⋡ㄽⓗホ౯ࡀᚲせ࡛࠶ࡿ㸬ᮏᖺᗘࡣ࡜ࡃ࡟㸪ᾮయࣟࢣࢵࢺୖẁ࢚ࣜࣥࢺࣜ᫬ࡢⴠୗศᩓᇦホ౯ࡢࡓࡵࡢྛࢥ࣏࣮ࣥࢿࣥࢺࡢ✵ຊ࣭⇕ὶ᮰ホ౯㸪ཬࡧᑠᆺᅇ཰࢝ࣉࢭࣝᢏ⾡ᐇドᶵࡢࣃࣛࢩ࣮ࣗࢺ࢝ࣂ࣮ᣲືゎᯒࢆᑐ㇟࡜ࡋࡓࡀ㸪ᵝࠎ࡞Ẽὶ᮲௳࡟࠾ࡅࡿ✵ຊ࣭⇕ὶ᮰ホ౯ࢆ㧗㏿࠿ࡘ㧗⢭ᗘ࡛ᐇ᪋ࡍࡿࡇ࡜ࡀᚲせ࡛࠶ࡿ㸬ⴠୗศᩓᇦホ౯ࡢ㐺ṇ໬㸪ཬࡧᑠᆺᅇ཰࢝ࣉࢭࣝᢏ⾡ᐇドࢆᡂຌࡉࡏࡿࡓࡵ࡟ࡣ㸪ᵝࠎ࡞᮲௳ୗ࡛ࡢ⾪ᧁἼࡸ๤㞳ὶࢀࢆྵࡴCFDࡢ኱つᶍࣃ࣓ࣛࢺࣜࢵࢡࢫࢱࢹ
࢕ࡀᚲ㡲࡛࠶ࡿ㸬ࡋࡓࡀࡗ࡚㸪᭱ඛ➃ࡢ኱つᶍ࡞ࢫࣃࢥࣥࡢ฼⏝ࡀᚲ㡲࡛࠶ࡾ㸪ỗ⏝ࡢPCࢡࣛࢫࢱࡸࢡ
ࣛ࢘ࢻ࡜࠸ࡗࡓ௚ࡢィ⟬ᶵ⎔ቃ࡛ࡣᐇ᪋୙ྍ⬟࡛࠶ࡿ㸬䠉㻝㻜㻞䠉

HPC@JAXA2015㻌 ௒ᖺᗘࡢᡂᯝx ゎᯒ⢭ᗘࢆኚ࠼ࡎ᱁Ꮚᩘࢆ᭱ᑠ໬࡛ࡁࡿゎ㐺ྜ᱁Ꮚἲࡢᑟධ࡜᱁Ꮚ⏕ᡂࡢ⮬ື໬࡟ࡼࡾ㸪ゎᯒ᮲௳࡟ࡼࡾ኱ࡁࡃὶయᵓ㐀ࡀኚ໬ࡍࡿၥ㢟࡟ࡘ࠸࡚㸪ࢱ࣮ࣥ࢔ࣛ࢘ࣥࢻ᫬㛫ࢆFY26ࡢ15᫬㛫࠿ࡽ7᫬㛫ࡲ࡛
50㸣௨ୖ๐ῶࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬x ᾮయࣟࢣࢵࢺୖẁࡢẼ⵳ჾ㸪ࣟࢣࢵࢺ࢚ࣥࢪࣥࢆᶍࡋࡓᇶ♏ᙧ≧࡟ᑐࡋ㸪ᗈ⠊ᅖ࡞Ẽὶ᮲௳࡛ࡢ✵ຊ࣭⇕ὶ᮰ホ౯ࢆ࠾ࡇ࡞࠸㸪ᅽຊཬࡧ⇕ὶ᮰ศᕸࡢẼὶゅᗘࡸ࣐ࢵࣁᩘ౫Ꮡᛶࢆㄪ࡭㸪௒ᚋࡢ࢚ࣜࣥࢺࣜᏳ඲ᛶホ౯ࡢ◊✲ィ⏬࡟཯ᫎࡋࡓ㸬x ᑠᆺᅇ཰࢝ࣉࢭࣝࡢ࢝ࣂ࣮ศ㞳᫬ࡢCFDゎᯒࢆ⾜࠸㸪࢝ࣂ࣮ศ㞳᪉ἲࡢ㔜せ࡞タィᣦ㔪ࢆᚓࡓ㸬㻌㻌㻌
ᅗ1 ゎ㐺ྜ᱁Ꮚ࡟ࡼࡿ⌫ࡢ⇕ὶ᮰ホ౯㸸Heat flux estimation for sphere by using adaptive mesh refinement.

㻌࠙ィ⟬᝟ሗࠚ
32᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
120ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 64㹼384ࢥ࢔
ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ⸨ᮏᆂ୍㑻㸪᰿ᓊ⚽ୡ㸪Ώ㑔Ὀ⚽㸪⟄஭㞝ᶞ㸪༡㒊ኴ௓㸪͆୙☜ᐃᛶࢆ⪃៖ࡋࡓ࢝ࣉࢭࣝ࢝ࣂ࣮ศ㞳ᣲ
ືࡢCFDゎᯒ͇㸪➨28ᅇィ⟬ຊᏛㅮ₇఍㸪2015㸬ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]1,708,310.23

SORA-PP

3,288.09

㻌
㻌

䠉㻝㻜㻟䠉

SORA-LM

0.48

SORA-TPP

7,842.42

HPC@JAXA2015㻠㻠㻚㻌㻌ᐊຠᯝ䜺䝇ほ ᢏ⾡⾨ᫍ 㻞 ྕ䠄㻳㻻㻿㻭㼀㻙㻞䠅㻌㐠⏝஦ᴗ䛻䛚䛡䜛䝇䝟䝁䞁฼⏝᳨ウ㻌

Feasibility study toward utilization of JSS2 for GOSAT-2 data processing㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᖹᯘ Ẏ(hirabayashi.takeshi@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪୰ᓥṇ຾(nakajima.masakatsu@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᅄඖ࿴ᙪ(yotsumoto.kazuhiko@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ฟཱྀ ⪽(deguchi.akira@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ຍ⸨ 㡰(katoh.jun2@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ㐠⏝฼⏝ࢭࣥࢱ࣮㸪ୖ⏣㝧Ꮚ(ueda.yoko@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ㐠⏝฼⏝ࢭࣥࢱ࣮㸪ᒣᓮ᭸ᮁ(yamasaki.tomoo@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ୺ࡓࡿ ᐊຠᯝ࢞ࢫࡢ⃰ᗘศᕸ㸪྾཰᤼ฟ㔞ࡢࡼࡾ㧗࠸⢭ᗘ࡛ࡢ⟬ฟ࣭᥎ᐃࢆ⾜࠸㸪௨ୗࡢᐤ୚࡟ࡼ
ࡾ⎔ቃ⾜ᨻ࡟㈉⊩ࡍࡿ㸬ࡲࡓ㸪ࡇࢀࡲ࡛ࡢᆅ⌫ほ ᢏ⾡ࢆ⥅ᢎ࣭Ⓨᒎࡉࡏ㸪ᑗ᮶ࡢᆅ⌫ほ ⾨ᫍ࡟ᚲせ࡞ᢏ⾡㛤Ⓨࢆ⾜࠺㸬x Ẽೃኚືண ⢭ᗘࡢྥୖ࡬ࡢᐤ୚x ᆅ⌫ࢩࢫࢸ࣒ࡢኚ໬ࡢ᪩ᮇ᳨ฟ࡬ࡢᐤ୚
x ேⅭⓗ࡞ ᐊຠᯝ࢞ࢫ᤼ฟࡢ๐ῶ≧ἣࡸ⮬↛྾཰※ࡢኚື≧ἣࡢᢕᥱ࡬ࡢᐤ୚x ኱Ẽởᰁ┘ど࡟㛵ࡍࡿᨻ⟇࡬ࡢᐤ୚㻌 ஦ᴗࡢ┠ᶆ୺せ࡞┠ᶆ࡛࠶ࡿ ᐊຠᯝ࢞ࢫࡢᗘศᕸ ᐃ⢭ᗘྥୖ࡟ࡘ࠸࡚ࡢ┠ᶆࡣୗグࡢ㏻ࡾ㸬x 㞼࣭࢚࢔ࣟࢰࣝࡢᙳ㡪ࡢ࡯࡜ࢇ࡝↓࠸᮲௳࡛㸪㝣ᇦ500km㸪ᾏᇦ2,000km࣓ࢵࢩࣗ㸪1࢝᭶ᖹᆒ࡛஧
㓟໬Ⅳ⣲ཬࡧ࣓ࢱࣥẼᰕᖹᆒ⃰ᗘࢆࡑࢀࡒࢀ┦ᑐ⢭ᗘ0.5ppmཬࡧ5ppb௨ୗ࡛⟬ฟࡍࡿ㸬

ppm㸸parts per million㸦100 ୓ศࡢ 1㸧㸪ppb㸸parts per billion㸦10 ൨ศࡢ 1㸧
㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭GOSAT-2ࡢほ ࢹ࣮ࢱࢆฎ⌮ࡍࡿ࣑ࢵࢩࣙࣥ㐠⏝⣔ࢩࢫࢸ࣒㸦⟃Ἴ࡟ᩚഛ㸧࡟࠾࠸࡚㸪㐣ཤศࡢほࢹ࣮ࢱࡢ෌ฎ⌮ࡢィ⟬ᶵࣜࢯ࣮ࢫ࡜ࡋ࡚ࢫࣃࢥࣥࢆ฼⏝ࡋ㸪෌ฎ⌮ࢆ▷ᮇ㛫࡟ᐇ᪋ࡍࡿ㸬ࡲࡓ㸪෌ฎ⌮࡟ᚲせ࡞඲ࢹ࣮ࢱࡢ㐲㝸ᆅಖᏑඛ࡜ࡋ࡚฼⏝ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝGOSAT-2࡛せồࡍࡿ෌ฎ⌮ᛶ⬟࡟ࡘ࠸࡚ࢫࣃࢥࣥୖ࡛࣋ࣥࢳ࣐࣮ࢡヨ㦂ࢆᐇ᪋ࡋ㸪せồࢆ‶㊊࡛ࡁࡿぢ㎸ࡳࢆᚓࡓ㸬ࡲࡓ㸪ࢫࣃࢥࣥࢆ㐲㝸ᆅಖᏑඛ࡜ࡍࡿㄪᩚࡀ᏶஢ࡋࡓ㸬

㻌
㻌
䠉㻝㻜㻠䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ Ɇ1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
 Ɇ
ࢣ࣮ࢫᩘ㸸
 Ɇ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸  Ɇ Ɇࣉࣟࢭࢫ୪ิᡭἲ㸸 Ɇࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

1.47

82.41

㻌

䠉㻝㻜㻡䠉

SORA-LM

0.02

SORA-TPPHPC@JAXA2015㻌㻠㻡㻚㻌ᐊຠᯝ䜺䝇ほ ᢏ⾡⾨ᫍ㻔㻳㻻㻿㻭㼀㻕㐠⏝஦ᴗ㻌
Utilization of JSS2 for GOSAT data processing㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛㸪ୗᮧ⿱ྖ(shimomura.yuji@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪ୖ⏣㝧Ꮚ(ueda.yoko@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪▼⏣἞⾜(ishida.haruyuki@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪୰す ຌ(nakanishi.isao@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪㰻⸨⣖⏨(saitoh.norio00@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪ᒣᓮ᭸ᮁ(yamasaki.tomoo@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪⏣୰ ㄔ(tanaka.makoto@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪㇏⏣ṇ๎(toyoda.masanori@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪ሷぢ ៞(shiomi.kei@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪ஂୡᬡᙪ(kuze.akihiko@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪㡲⸨ὒᚿ(suto.hiroshi@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 GOSAT-2 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᶫᮏ┿႐Ꮚ(hashimoto.makiko@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᆅ⌫ ᬮ໬ࡢཎᅉ࡜ゝࢃࢀ࡚࠸ࡿ஧㓟໬Ⅳ⣲ࡸ࣓ࢱࣥ࡞࡝ࡢ ᐊຠᯝ࢞ࢫࢆᏱᐂ࠿ࡽ ᐃࡋࡲࡍ㸬ࡇࢀ࡟ࡼࡾ㸪ᆅ⌫ ᬮ໬ࡸẼೃኚືࡢ⛉Ꮫⓗ࡞⌮ゎࢆ῝ࡵ࡚㸪 ᬮ໬ᑐ⟇࡟㈉⊩ࡍࡿࡇ࡜ࢆ┠ⓗ࡟ࡋ࡚࠸ࡲࡍ㸬㻌 ஦ᴗࡢ┠ᶆձ ᐊຠᯝ࢞ࢫࡢ඲⌫⃰ᗘศᕸࡢ ᐃ㸦1000km࣓ࢵࢩࣗ㸪3ࣨ᭶ᖹᆒ┦ᑐ⢭ᗘ1%㸧
ղ CO2྾཰᤼ฟ㔞ࡢள኱㝣つᶍ(⣙7,000km࣓ࢵࢩࣗ)࡛ࡢ᥎ᐃㄗᕪࡢ༙ῶճ ᐊຠᯝ࢞ࢫ ᐃᢏ⾡ᇶ┙ࡢ☜❧㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭GOSATࡢほ ࢹ࣮ࢱࢆฎ⌮ࡍࡿ࣑ࢵࢩࣙࣥ㐠⏝⣔ࢩࢫࢸ࣒㸦⟃Ἴ࡟ᩚഛ㸧࡟࠾࠸࡚㸪㐣ཤศࡢほ ࢹ࣮ࢱࡢ෌ฎ⌮ࡢィ⟬ᶵࣜࢯ࣮ࢫ࡜ࡋ࡚ࢫࣃࢥࣥࢆ฼⏝ࡋ㸪෌ฎ⌮ࢆ▷ᮇ㛫࡟ᐇ᪋ࡍࡿ㸬ࡲࡓ㸪෌ฎ⌮ࡋࡓࢹ࣮ࢱࡢ࣮ࣘࢨᥦ౪⏝ࢫࢺ࣮ࣞࢪ࡜ࡋ࡚ࢫࣃࢥࣥ⏝ࢫࢺ࣮ࣞࢪࢆ฼⏝ࡍࡿ㸬
ࡉࡽ࡟㸪GOSAT ࡢᰯṇ᳨ドࢆ⾜࠺฼⏝◊✲ࢩࢫࢸ࣒(⟃Ἴ࡟ᩚഛ)࡟࠾࠸࡚㸪㐣ཤศࡢ TANSO-CAIࢭࣥࢧほ ࢹ࣮ࢱࡢ෌ゎᯒฎ⌮ࡢィ⟬ᶵࣜࢯ࣮ࢫ࡟ࡶ฼⏝ࡍࡿ㸬䠉㻝㻜㻢䠉

HPC@JAXA2015㻌 ௒ᖺᗘࡢᡂᯝGOSATࡢTANSO-FTS ࣉࣟࢲࢡࢺࡢL1ࣉࣟࢢ࣒ࣛࡢࣂ࣮ࢪࣙࣥ࢔ࢵࣉࢆ⾜࠸㸪㐣ཤ6.5ᖺศࡢほ ࢹ࣮ࢱࡢ෌ฎ⌮࡟ࢫࣃࢥࣥࢆ฼⏝ࡋࡓ㸬ᚑ᮶⟃Ἴࡢࢩࢫࢸ࣒࡛⣙1ᖺ㛫࠿࠿ࡗ࡚࠸ࡓࡀ㸪ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡟ࡼࡾ11᪥㛫࡛᏶஢ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬ࡲࡓ㸪෌ฎ⌮ࡋࡓࢹ࣮ࢱࡢ࣮ࣘࢨᥦ౪࡟ࢫࣃࢥࣥࢆ฼⏝ࡋࡓ㸬ㄪᕸ࠿ࡽ⟃Ἴ࡟ఏ㏦ࡋ㸪⟃Ἴࡢ࣮ࣘࢨ
ᥦ౪⏝ࢧ࣮ࣂ࡟࢔ࢵࣉ࣮ࣟࢻࡍࡿࡢ࡟1࢝᭶࠿࠿ࡗ࡚࠸ࡓࡀ㸪ࢫࣃࢥࣥࡢࢫࢺ࣮ࣞࢪ࠿ࡽ┤᥋࣮ࣘࢨ࡟ࢲ
࣮࢘ࣥࣟࢻࡋ࡚ࡶࡽ࠺ࡇ࡜࡟ࡼࡾ㸪෌ฎ⌮ᚋ1㐌㛫⛬ᗘ࡛㏿ࡸ࠿࡟ࢹ࣮ࢱᥦ౪ࢆ㛤ጞ࡛ࡁࡓ㸬
ࡉࡽ࡟㸪GOSAT ࡢᰯṇ᳨ド࡟࠾࠸࡚㸪඲ 6.5 ᖺ㛫㸪඲ 4 ࣂࣥࢻࡢほ ࢹ࣮ࢱࡢ࠺ࡕ 5 ᖺ㛫㸪3 ࣂࣥࢻศࡢ෌ゎᯒฎ⌮ࢆᚑ᮶ࡼࡾ㛫ᘬࡁ⋡ࢆୗࡆࡓ᮲௳࡛㸪15 ᪥㛫࡛ᐇ᪋ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ (ᚑ᮶ࡣ㛫ᘬࡁฎ⌮ࡔࡅ࡛ 15 㐌㛫࠿࠿ࡗ࡚࠸ࡓ) 㸬㻌㻌෌ฎ⌮᫬ࡢࢩࢫࢸ࣒㛫ࢹ࣮ࢱࣇ࣮ࣟ࡜ฎ⌮᫬㛫ᨵၿ⤖ᯝ
ᅗ1 GOSAT 㐣ཤ6.5ᖺศほ ࢹ࣮ࢱࡢ෌ฎ⌮㸸GOSAT Data Re-Processing of observation data in past 6.5 years䠉㻝㻜㻣䠉HPC@JAXA2015
㻌
㻌

㻌



࠙ィ⟬᝟ሗࠚGOSAT 㐣ཤࡢほ ࢹ࣮ࢱࡢ෌ฎ⌮࣭ᥦ౪㻌1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
11᪥㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸360ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸㻌
SORA-PP㻌࠙ィ⟬᝟ሗࠚGOSAT ᰯṇ᳨ドࡢ㐣ཤࡢほ ࢹ࣮ࢱࡢ෌ゎᯒฎ⌮
15᪥㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
180ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔࡞ࡋࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) 㰻⸨⣖⏨㸪୰す ຌ㸪ୖ⏣㝧Ꮚ㸪⏣୰ ㄔ㸪ோᑿ཭⨾㸪ᑠす฼ᖾ㸦JAXA➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸧㸪஭ཱྀ ⱱ㸦᪥ᮏ㟁Ẽᰴᘧ఍♫㸧㸪᪩ᆏⱥಇ㸦᪥ᮏ㟁Ẽ⯟✵Ᏹᐂࢩࢫࢸ࣒ᰴᘧ఍♫㸧㸪஭ୖ ῟୍㸪㫽ᒃ㞞ஓ㸦ᐩኈ㏻ᰴᘧ఍♫㸧ࠕᆅ⌫ほ ⾨ᫍࢹ࣮ࢱฎ⌮࡟࠾ࡅࡿJAXAࢫࣃࢥࣥά⏝ࡢຠᯝ᳨ドࠖᖹᡂ27ᖺᗘ Ᏹᐂ⛉Ꮫ᝟ሗゎᯒࢩ࣏ࣥࢪ࣒࢘ Feb. 2016.
2) ࠕFor Improving Research into Global Changes by Quick Delivery of Observation Data From Outer
Spaceࠖ SC15 Nov. 2015
ࡑࡢ௚3) JSS2 ࣃࣥࣇࣞࢵࢺ 2016ᖺ∧࡬ࡢᡂᯝᥖ㍕
4) Isao NAKANISHI, Norio SAITO, Makoto TANAKA, Yoko UEDA, Toshiyuki KONISHI, Tomomi
NIO ࠕ Verification of Extreme Time Reduction for EO Satellite Data Re-processing with
SupercomputerࠖPMM㸦㝆Ỉ࣑ࢵࢩࣙࣥ㛵ಀࢧ࢖࢚ࣥࢫ఍ྜ㸧Jan.2016ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

196,589.63

㻌
㻌

㻌

䠉㻝㻜㻤䠉

SORA-LM

SORA-TPP

72,523.41

HPC@JAXA2015㻌㻠㻢㻚㻌 ᨵⰋᆺ㧗ᛶ⬟䝬䜲䜽䝻Ἴᨺᑕィ㻔㻭㻹㻿㻾㻙㻱㻕㐠⏝஦ᴗ䛻䛚䛡䜛䝇䝟䝁䞁฼⏝㻌
Utilization of JSS2 for AMSR-E L1 data processing㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛㸪ୗᮧ⿱ྖ(shimomura.yuji@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪㰻⸨⣖⏨(saitoh.norio00@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪ᩪ⸨ 㐍(saitoh.susumu@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
AMSR-Eࣉࣟࢲࢡࢺࢆ㸪ᚋ⥅ࢭࣥࢧ࡛࠶ࡿAMSR2࡜ྠࡌࣇ࢛࣮࣐ࢵࢺ࡛⏕ᡂࡍࡿฎ⌮⎔ቃࢆ⏝ពࡋ㸪඲ᮇ㛫ࡢ෌ฎ⌮ࢆ⾜࠸㸪࣮ࣘࢨ࡟࡜ࡗ࡚฼౽ᛶࡢ㧗࠸㛗ᮇࢹ࣮ࢱࢭࢵࢺࢆᥦ౪ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
FY27 ࡣ㸪㛗ᮇࢹ࣮ࢱࢭࢵࢺྥࡅࣇ࢛࣮࣐ࢵࢺ࡛ࡢ AMSR-E ࣉࣟࢲࢡࢺ⏕ᡂ⎔ቃࢆ JSS2 ୖ࡟ᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭AMSR-Eࡀ㐣ཤ࡟ほ ࡋࡓ⣙10ᖺศࡢฎ⌮㸦෌ฎ⌮㸧ࢆྠ᫬୪ิฎ⌮࡟ࡼࡾ▷ᮇ㛫࡛⾜࠺ࡇ࡜࡛㸪࣮ࣘࢨ࡬ࡢᥦ౪ࢆ᪩ᮇ࡟⾜࠸㸪࣮ࣘࢨࣅࣜࢸ࢕ࡢྥୖ࡟㈉⊩ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝJSS2 SORA-PP⎔ቃୖ࡟㸪㛗ᮇࢹ࣮ࢱࢭࢵࢺ࡟ᚲ㡲࡜࡞ࡿࣞ࣋ࣝ1Rฎ⌮ࢆ㏣ຍࡋࡓ㸬ࡇࢀ࡟ࡼࡾAMSR-Eࣞ࣋ࣝ1ࣉࣟࢲࢡࢺࡢ㛗ᮇࢹ࣮ࢱࢭࢵࢺྥࡅࣉࣟࢲࢡࢺࡢ⏕ᡂ⎔ቃࡀᩚࡗࡓ㸬㻌࠙ィ⟬᝟ሗࠚAMSR-E ࡢࣞ࣋ࣝ 1 ฎ⌮࡛ࡣᅗ 1 ࡟♧ࡋࡓࣞ࣋ࣝ 1R ࡟ຍ࠼࡚㸪ࣞ࣋ࣝ 1A ཬࡧ 1B ࣉࣟࢲࢡࢺ
ࡶసᡂࡍࡿ㸬ࣉࣟࢲࢡࢺࡣᆅ⌫ࡢ༙࿘ᅇ༢఩࡛༊ษࡗ࡚࠾ࡾ㸪ࡇࢀࢆࠕ1 ࢩ࣮ࣥࠖ࡜ࡋ࡚࠸ࡿ㸬
AMSR-E ࣞ࣋ࣝ 1 ฎ⌮ࡢ 1 ࢩ࣮ࣥ࠶ࡓࡾࡢฎ⌮᫬㛫ࡢィ ⤖ᯝ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
350⛊ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PPୖグࡼࡾ㸪16ࢥ࢔ࢆ฼⏝ࡋࡓሙྜࡢ㐣ཤ⣙10ᖺศࡢほ ࢹ࣮ࢱࡢ෌ฎ⌮ᮇ㛫ࡣ㸪ḟࡢ㏻ࡾ⣙1ࣧ᭶⛬ᗘ࡜࡞ࡿぢ㎸ࡳ࡛࠶ࡿ㸬30ࢩ࣮ࣥ/᪥  365᪥  10ᖺ = 109500ࢩ࣮ࣥ
350⛊  109500 ࢩ࣮ࣥ / 16ࢥ࢔ = 27.7᪥
䠉㻝㻜㻥䠉

HPC@JAXA2015

ᅗ1 AMSR-Eࣞ࣋ࣝ1Rࣈࣛ࢘ࢬ⏬ീ (36 GHz Ỉᖹ೫Ἴ)㸸AMSR-E Level 1R Browse Image (36 GHz H-Polarized)㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

1,293.56

䠉㻝㻝㻜䠉

SORA-LM

SORA-TPP

0.17

HPC@JAXA2015㻌㻠㻣㻚㻌 ㌶㐨ୖ䛾䝻䜿䝑䝖䞉⾨ᫍ䞉Ᏹᐂ䝇䝔䞊䝅䝵䞁࿘䜚䛾ᕼⷧὶゎᯒ㻌
DSMC analysis of the rarefied gas flows of rocket, satellite and ISS㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ ࣭ ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪㇂ ὒᾏ(tani.hiroumi@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪኱㛛 ඃ(daimon.yu@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ᭷ேᏱᐂ/⛉Ꮫ⾨ᫍ/ᝨᫍ᥈ᰝᶵ/Ᏹᐂ㍺㏦࡜࠸ࡗࡓᖜᗈ࠸ศ㔝ࡢᐃ㔞ホ౯࡟ࡼࡿ㛤Ⓨࣜࢫࢡపῶࢆ┠ⓗ࡟㸪෌✺ධ᫬ࡢ✵ຊ࣭⇕⎔ቃࡸᏱᐂ✵㛫࡟᤼ฟࡉࢀࡿ᤼Ẽ࢞ࢫࡢ⇕㈇Ⲵ࡞࡝࠶ࡽࡺࡿᕼⷧὶయゎᯒࡀྍ⬟࡞⤫୍ⓗࢶ࣮ࣝ㛤Ⓨࢆᐇ᪋ࡋ㸪Ᏹᐂᶵ࣭ࣟࢣࢵࢺ࡟࠾ࡅࡿ࢞ࢫࢲ࢖ࢼ࣑ࢡࢫタィゎᯒᢏ⾡ࢆ⋓ᚓࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ JAXAࣉࣟࢪ࢙ࢡࢺࡢせᮃ࡟ṇ☜࠿ࡘࢱ࢖࣒࣮ࣜ࡟ᑐᛂࡍࡿ͆ᐇ⏝͇ゎᯒࢶ࣮ࣝࡢ㛤Ⓨ ᐇᶵࡢ」㞧࡞ᙧ≧࣭⎔ቃࢆ෌⌧ྍ⬟࡛㸪⌧≧ࡢ1๭ࡢసᴗ᫬㛫࣭ேᩘ࡛ゎᯒྍ⬟࡞ຠ⋡ⓗᢏ⾡ࡢ⋓ᚓ㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࣉࣟࢪ࢙ࢡࢺࡀᐇ᪋ࡍࡿᾏእ࡜ࡢᅜ㝿༠ຊㄪᩚࡢࡓࡵ࡟㎿㏿࡞ホ౯ࡀᚲせ࡛࠶ࡾ㸪኱つᶍィ⟬ࣜࢯ࣮ࢫࢆά⏝ࡍࡿࡇ࡜࡛ᐇ⌧ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬ࡲࡓ㸪ࣉ࣮࣒ࣝࡢ㈇Ⲵࢆୗࡆࡿࡓࡵࡢᑐ⟇ࢆ᳨ウࡍࡿࡓࡵ࡟ከᩘࡢ᮲௳ࡢゎᯒࢆ▷ᮇ㛫࡟⾜࠺ᚲせࡀ࠶ࡾ㸪ࢫࣃࢥࣥ࡟ࡼࡗ࡚ᑐᛂࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x 6⮬⏤ᗘ㣕⾜ィ⟬࡟ᚲせ࡞ቨ㠃ᅽຊࡢண ⢭ᗘྥୖࡢࡓࡵ㸪࢞ࢫ⢏Ꮚ࡜ቨ㠃࡜ࡢᖸ΅ィ⟬ࢆ㧗⢭ᗘ໬㸬⌮ㄽゎ࡜ࡢẚ㍑࡟ࡼࡗ࡚⢭ᗘࢆ☜ㄆࡋࡓ㸬x ィ⟬ࢭࣝࡈ࡜࡟᫬㛫ࢫࢸࢵࣉ࡜⢏Ꮚᩘࢆ᭱㐺໬ࡍࡿᶵ⬟ࢆࣉࣟࢪ࢙ࢡࢺᨭ᥼࡟ᑐᛂ࡛ࡁࡿ⢭ᗘ࡛ィ⟬࡛ࡁࡿࡼ࠺࡟ࢶ࣮ࣝ࡬ᑟධཬࡧ᳨ドࢆ⾜࠸㸪ᐇࢫࢣ࣮ࣝィ⟬ࡢ⢭ᗘࢆ⥔ᣢࡋࡓࡲࡲィ⟬᫬㛫ࢆ1/10ಸ࡟ࡲ࡛▷⦰ࢆ⾜ࡗࡓ㸬䠉㻝㻝㻝䠉HPC@JAXA2015㻌㻌㻌
ᅗ 1 HTV RSC ࢫࣛࢫࢱゎᯒ
㸸Plume simulation of RCS thrusters of HTV㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
24᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸200ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣࡑࡢ௚1) ㇂ ௚6ྡ͆ISS࡬ᖸ΅ࡍࡿHTV࣓࢖࢚ࣥࣥࢪࣥࣉ࣮࣒ࣝࡢNS/DSMC㐃ᡂゎᯒ͇ ᪥ᮏࢩ࣑࣮ࣗࣞࢩ
ࣙࣥᏛ఍ㄅࠕࢩ࣑࣮ࣗࣞࢩࣙࣥࠖVol.34(3) ≉㞟グ஦pp.186-192.
ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

2,619,313.00

695.16㻌䠉㻝㻝㻞䠉SORA-LM

190.52

SORA-TPP

152.14HPC@JAXA2015㻌㻠㻤㻚㻌 ᙉᗘྍኚ㓟໬๣᪕ᅇὶᆺ䝝䜲䝤䝸䝑䝗䝻䜿䝑䝖䛾⇞↝䝅䝭䝳䝺䞊䝅䝵䞁㻌
Combustion Simulation of Altering-intensity Swirling-Oxidizer-Flow-Type Hybrid rocket㻌 ஦ᴗᙧែ
ඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ Ᏹᐂ㣕⩧ᕤᏛ◊✲⣔㸪ᔱ⏣ ᚭ(shimada.toru@jaxa.jp)ᵓᡂဨ㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ Ᏹᐂ㣕⩧ᕤᏛ◊✲⣔㸪໭ᕝᖾᶞ(kitagawa.koki@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᮏỤᖿᮁ(motoe.mikiroh@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᏳ඲࠿ࡘ⤒῭ⓗ࡞Ᏹᐂ㍺㏦ࡢᐇ⌧ࡢࡓࡵ㸪Ᏻ඲ᛶ㸪㧗ᛶ⬟㸪⎔ቃ㐺ྜᛶ㸪ไᚚᛶ࡟࠾ࡅࡿ㛗ᡤࢆ᭷ࡍࡿࣁ࢖ࣈࣜࢵࢻࣟࢣࢵࢺࡢ᥎ຊไᚚᢏ⾡ࢆ㛤Ⓨ/ᐇドࡋ㸪ᐇ⏝໬ࢆᐇ⌧ࡍࡿ┠㏵ࢆᚓࡿ㸬㻌 ஦ᴗࡢ┠ᶆᖹᡂ 28 ᖺᮎࡲ࡛࡟㸪ࣁ࢖ࣈࣜࢵࢻࣟࢣࢵࢺࡢ㣕⩧ᢏ⾡☜❧ࢆ┠ⓗ࡜ࡋࡓᕤᏛᐇ㦂ࢆᑠつᶍࣉࣟࢪ࢙ࢡ
ࢺࡢᥦ᱌࡜ࡋ࡚⧳ࡵࡿࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࣃࢥࣥࢆ⏝࠸ࡓ↝ᐊෆ㒊ࡢ≀⌮⌧㇟ࡸ⇞↝≉ᛶࡢヲ⣽ゎᯒ㸪ࣃ࣓ࣛࣜࢵࢡࢫࢱࢹ࢕࡞࡝ࡢ኱つᶍィ⟬ࡣᐇ㦂ࢆ⿵࠸ᮏ஦ᴗ┠ᶆࡢ㐩ᡂࢆಁ㐍ࡍࡿᙺ๭ࢆᯝࡓࡍ㸬㻌 ௒ᖺᗘࡢᡂᯝ
⇞↝ᐊ๓➃࠿ࡽ㍈᪉ྥ࡜᪕ᅇ᪉ྥ࡟㓟໬๣ࢆὀධࡋ㸪ࡑࡢὶ㔞ࡢ๭ྜࢆኚ໬ࡉࡏࡿࡇ࡜࡛᥎ຊࢆไᚚ
ࡍࡿᙉᗘྍኚ㓟໬๣᪕ᅇὶᆺࣁ࢖ࣈࣜࢵࢻࣟࢣࢵࢺ㸦A-SOFT㸧ࡣ㸪᪕ᅇὶࡢࡳࡢࣁ࢖ࣈࣜࢵࢻࣟࢣࢵ
ࢺ(SOFT)ࡼࡾࡶ㸪ຠ⋡ⓗ࡞᥎ຊไᚚࢆ⾜࠼ࡿ㸬௒ᖺᗘࡣࡇࡢA-SOFT㸦㡿ᇦࢧ࢖ࢬȭ40175mm㸧ࡢ⇞↝ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜࠸㸪࿘᪉ྥ࡜㍈᪉ྥ࡛➼ࡋ࠸ὶ㔞ࢆὶධࡉࡏࡓࢣ࣮ࢫ㸦A㸧࡜࿘᪉ྥࡢࡳࡢࢣ
࣮ࢫ㸦B㸧࡛⇞ᩱᚋ㏥㏿ᗘࡸ⇞↝ᅽຊ㸪ὶࢀሙࡢẚ㍑ࢆ⾜ࡗࡓ㸬ᅗ1ࡣ⇞↝ᐊ≉ᛶ㸦⇞ᩱᚋ㏥㏿ᗘ࡜⇞↝ᅽຊ㸧㸪ᅗ2ࡣὶࢀሙࡢ஘ὶᵓ㐀㸦Q್ࡢ➼್㠃㸧࡛࠶ࡿ㸬

ᅗ1 ⇞↝ᐊ≉ᛶࡢẚ㍑
㸸Comparison of characteristics of chamber䠉㻝㻝㻟䠉HPC@JAXA2015㻌㻌㻌
ᅗ2 ஘ὶᵓ㐀㸦Q್ࡢ➼್㠃㸧㸸Structure of turbulence (Iso-surface of Q criteria)㻌㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
60᫬㛫
ࢣ࣮ࢫᩘ㸸
4ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸90ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ↓ࡋㄽᩥ
1) Impact Prediction of Fuel Regression Rate of Hybrid Rocket in Altering Swirl Intensity by
Numerical Analysis, Twelfth International Conference on Flow Dynamics, 2015ཱྀ㢌Ⓨ⾲2) Twelfth International Conference on Flow Dynamicsᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

2,005,210.26

190,679.92

㻌

䠉㻝㻝㻠䠉

SORA-LM

30.83

SORA-TPPHPC@JAXA2015㻌㻠㻥㻚㻌 㧗㏿ὶయຊᏛ䛻㛵䛩䜛Ꮫ⾡◊✲㻌
Study of high speed fluid dynamics
㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ Ᏹᐂ㣕⩧ᕤᏛ◊✲⣔㸪㔝ࠎᮧᣅ(nonomura@flab.isas.jaxa.jp)ᵓᡂဨ㸸ᮾி⌮⛉኱Ꮫ㸪㟷㔝 ග(aono@rs.tus.ac.jp)ᮾி኱Ꮫ㸪ᑎ㛛኱Ẏ(terakado@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪㜿㒊ᆂ᫭(abe@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪Taufik Slaiman(taufik@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪ᮤ ᮾ㍤(lee@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪⚟ᮏᾈ❶(fukumoto@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪Fortunate Nucera(nucera@flab.isas.jaxa.jp)ᮾி኱Ꮫ኱Ꮫ㝔㸪ὸ㔝වே(asano@flab.isas.jaxa.jp)ᮾி኱Ꮫ኱Ꮫ㝔㸪᳃ᖹග୍(morihira@flab.isas.jaxa.jp)
ᮾி㎰ᕤ኱Ꮫ኱Ꮫ㝔㸪ᯇཎᬡⰋ(matsubara@flab.isas.jaxa.jp)ᶓ὾ᅜ❧኱Ꮫ኱Ꮫ㝔㸪᳃୰୍ㄔ(morihira@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪ຍ⸨኱♸(dkato@flab.isas.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪ᑠ⃝㞝ኴ(ozawa@flab.isas.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪ཎ⏣ᣅᘺ(harada@flab.isas.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪୰㔝ᏹ❶(nakano@flab.isas.jaxa.jp)
Nanyang Technological University, Sirigatti Daniele (sirigatti@flab.isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ㉸㡢㏿ࢪ࢙ࢵࢺ࠿ࡽⓎ⏕ࡍࡿ㦁㡢ࡢண ࡜పῶࡣ㸪ࣟࢣࢵࢺࡸḟୡ௦ࡢ㉸㡢㏿᪑ᐈᶵࡢタィࢆ⪃࠼ࡿୖ࡛ᚲせ୙ྍḞ࡛࠶ࡾ㸪㧗㏿ὶయຊᏛၥ㢟ࡢ୰࡛ゎỴࡍ࡭ࡁㄢ㢟ࡢ 1 ࡘ࡛࠶ࡿ㸬ᮏ஦ᴗ࡛ࡣ㦁㡢ࡢⓎ⏕ᶵᵓࢆ᫂ࡽ࠿࡟ࡍࡿ࡜ඹ࡟ࣔࢹࣝ໬࡟㔜せ࡜࡞ࡿ▱ぢࢆᚓࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ㉸㡢㏿ࢪ࢙ࢵࢺ㦁㡢ࡢ⏕ᡂᶵᵓࡀ࣐ࢵࣁᩘࡸ ᗘẚ࡜࠸ࡗࡓࣃ࣓࣮ࣛࢱ࡟౫Ꮡࡋ࡚࡝࠺ኚ໬ࡍࡿ࠿ࢆ
࣐ࢵࣁᩘ㸪 ᗘẚࢆኚ໬ࡉࡏࡓᇶ♏ⓗ࡞ᅽ⦰ᛶΰྜᒙࡢゎᯒ࡟ࡼࡾ᫂ࡽ࠿࡟ࡍࡿ㸬ࡲࡓ㸪㉸㡢㏿ࢪ࢙ࢵࢺ㦁㡢ࡢண ⢭ᗘྥୖ࡟ྥࡅ࡚ධཱྀᨐ஘ࡀ㡢㡪Ἴࡢᛶ㉁࡟୚࠼ࡿᙳ㡪ࢆ᫂ࡽ࠿࡟ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᅽ⦰ᛶΰྜᒙࡢ࣐ࢵࣁᩘ㸪 ᗘẚ࡞࡝ࡢࣃ࣓࣮ࣛࢱ౫Ꮡᛶࡢㄪᰝ㸪ࢪ࢙ࢵࢺ㦁㡢ゎᯒ࡟࠾ࡅࡿධཱྀᨐ
஘ࡢ୚࠼ࡿᙳ㡪ࡢㄪᰝඹ࡟஘ὶࢆ㧗⢭ᗘ࡟ゎࡃᚲせࡀ࠶ࡾ㸪㧗ゎീᗘ࡞ゎᯒࡀᚲせ࡜࡞ࡿ㸬ࡉࡽ࡟㸪ࣃ࣓ࣛࢺࣜࢵࢡࢫࢱࢹ࢕ࢆ⾜࠺ࡓࡵከࡃࡢィ⟬ࢆ⾜࠺ᚲせࡀ࠶ࡾࢫࣃࢥࣥࡢ౑⏝ࡀᚲせ୙ྍḞ࡛࠶ࡿ㸬䠉㻝㻝㻡䠉

HPC@JAXA2015㻌㻌 ௒ᖺᗘࡢᡂᯝ
ᅽ⦰ᛶΰྜᒙࡢゎᯒ࡟ࡼࡾ㸪࣐ࢵࣁᩘ㸪 ᗘẚ࡞࡝ࡢࣃ࣓࣮ࣛࢱࡀ㸪Ⓨ⏕ࡍࡿ㡢㡪Ἴ࡟୚࠼ࡿᙳ㡪ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬⛣ὶ࣐ࢵࣁᩘࡀ㧗࠸ࣟࢣࢵࢺᄇὶ࡟㏆࠸᮲௳ࡢሙྜ㸪ᙅ࠸⾪ᧁࡣ㸦shocklet㸧ࢆ㡢※࡜ࡍࡿ㧗࿘Ἴࡢ㦁㡢ࡀⓎ⏕ࡍࡿྍ⬟ᛶࢆ♧ࡋࡓ㸬ࡉࡽ࡟㸪ࢪ࢙ࢵࢺ㦁㡢ゎᯒ࡛ࡣ㸪ධཱྀᨐ஘ࢆධࢀࡓሙྜ㸪⾪ᧁἼ㛵㐃㦁㡢ࡢⓎ⏕ࡀᢚไࡉࢀࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬

㻌

㻌

㻌

ᅗ1 ᅽ⦰ᛶΰྜᒙ࠿ࡽⓎ⏕ࡍࡿ㡢㡪Ἴ࡟ᑐࡍࡿ࣐ࢵࣁᩘ౫Ꮡᛶ
㸸Mach number dependence on acoustic waves from compressible mixing layer.

㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
72᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
64ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP㸪⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) Terakado. D, Nagata, Y, Nonomura. T, Fujii. K and Yamamoto. M, “Computational Analysis ofCompressible Gas-Multi phase Turbulent Mixing Layer in Euler-Euler Formulation,” 30th
International Symposium on Space Technology and Science, Kobe, Japan, 2015.
2) ᑎ㛛኱Ẏ㸪㔝ࠎᮧᣅ㸪኱ᒣ ⪷㸪⸨஭Ꮥ⸝㸪͆㧗࣐ࢵࣁᩘᇦ࡛ࡢ஘ὶΰྜᒙ࡟࠾ࡅࡿ࣐ࢵࣁᩘཬࡧᐦᗘ
ẚ౫Ꮡᛶ㸪͇᪥ᮏᶵᲔᏛ఍➨93ᮇὶయᕤᏛ㒊㛛ㅮ₇఍㸪ᮾி㸪2015ᖺ㸬ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]1,860,931.53

SORA-PP

9,148.68

䠉㻝㻝㻢䠉

SORA-LM

43.30

SORA-TPPHPC@JAXA2015㻌㻡㻜㻚㻌 ෌✺ධ䜹䝥䝉䝹䛻䛚䛡䜛 㻾㻯㻿 ᖸ΅ሙ䛾ண 㻌
Prediction of RCS Jet Intaraction on Re-entry Capsule㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪὾ᮏ ⁠(hamamoto.shigeru@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪⸨஭ၨ௓(keisuke@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪୕ᮌ ⫕(miki.hajime@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᒸᯘᕼ౫(okabayashi.kie@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪㧗㛫Ⰻᶞ(takama.yoshiki@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
኱ᆺࡢ㌶㐨ᅇ཰࢝ࣉࢭࣝ࡟ᚲせ࡞ጼໃไᚚ⏝ RCS ࢪ࢙ࢵࢺࡀᴟ㉸㡢㏿㡿ᇦ࡟࠾࠸࡚ᘬ㉳ࡍ⇕✵ຊⓗ࡞ᖸ΅ࢆண ࡍࡿᢏ⾡ࢆ⋓ᚓࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᴟ㉸㡢㏿㢼Ὕヨ㦂࡟ࡼࡿ RCS ᖸ΅ሙィ ࡜㸪㢼ヨ࣭ᐇᶵ᮲௳࡛ࡢ CFD ゎᯒ࡟ࡼࡗ࡚㸪࢝ࣉࢭࣝ࡟ᑐ
ࡍࡿຍ⇕㔞ࡸ✵ຊⓗᙳ㡪ࢆホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
RCSᖸ΅ண ᢏ⾡⋓ᚓࡢࡓࡵ࡟ࡣ㸪㢼Ὕヨ㦂ࡔࡅ࡛࡞ࡃᐇᶵࡢ᮲௳࡛ࡢCFDゎᯒࡶᚲせ࡛࠶ࡾ㸪ࡑࡢࡼ࠺࡞ᩘከࡃࢣ࣮ࢫࢆ㎿㏿࡟ィ⟬ࡍࡿ࡟ࡣࢫࣃࢥࣥ฼⏝ࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
HTV-R ᙧ≧ࡢ࢝ࣉࢭࣝࢆᑐ㇟࡟ᴟ㉸㡢㏿㢼Ὕヨ㦂᮲௳࡛ FaSTAR ࡟ࡼࡿ CFD ゎᯒࢆᐇ᪋ࡋ㸪RCS࿘ࡾࡢ⇕ὶ᮰ศᕸࡀ㢼Ὕヨ㦂⤖ᯝ࡜ࡼࡃྜ࠺ࡇ࡜ࢆ☜ㄆࡋࡓ㸬ࡲࡓ㸪࢝ࣉࢭࣝ෇࿘᪉ྥ࡟ RCS ࡢ㓄⨨ࢆኚ࠼ࡓሙྜ࡟㸪᭱኱⇕ὶ᮰ࡢኚ໬⋡ࡀ CFD ゎᯒ࡜㢼Ὕヨ㦂࡜࡛ᐃᛶⓗ࡟୍⮴ࡍࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬䠉㻝㻝㻣䠉

HPC@JAXA2015㻌㻌
ᅗ1 ࢝ࣉࢭࣝRCSࡢᩘ್ィ⟬⤖ᯝ㸸CFD results of re-entry capsule with RCS㻌㻌
ᅗ2 ࢝ࣉࢭࣝRCS࿘ࡾࡢ⇕ὶ᮰ศᕸ
㸸Heat flux distibution around RCS nozzle exit㻌㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

10᫬㛫
38ࢣ࣮ࢫ
128ࣉࣟࢭࢫ1ࢥ࢔
MPI࡞ࡋ
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]96,302.35

SORA-PP341,165.04

㻌
䠉㻝㻝㻤䠉

SORA-LM

SORA-TPP㻌HPC@JAXA2015㻌㻡㻝㻚㻌 ᑗ᮶㍺㏦ᢏ⾡䛾◊✲䠄䝻䜿䝑䝖䜶䞁䝆䞁せ⣲ᩘ್ゎᯒ䠅㻌
Research on future space transportation technologies (CFD on flows in rocket engine components)㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪ྜྷ⏣ ㄔ(yoshida.makoto@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪ᮌᮧಇဢ(kimura.toshiya@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㧗ᶫᨻᾈ(takahashi.masahiro@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㛗⏣ ᩔ(osada.atsushi@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪ᚋ⸨බᡂ(goto.kosei@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᑗ᮶㍺㏦ࢩࢫࢸ࣒ࡢ➇தຊᙉ໬㸬㻌 ஦ᴗࡢ┠ᶆࣟࢣࢵࢺ࢚ࣥࢪࣥࡢせ⣲ᢏ⾡ྥୖ࡟ࡼࡿ࢚ࣥࢪࣥᛶ⬟ྥୖ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
Dual bellࣀࢬࣝࡣࣟࢣࢵࢺ➨1ẁ࢚ࣥࢪࣥࡢẚ᥎ຊᛶ⬟ྥୖ࡟ᐤ୚ࡍࡿᢏ⾡࡜ࡋ࡚ᮇᚅࡉࢀ࡚࠸ࡿࡀ㸪
సືⅬ㑄⛣ࡢ᮲௳ண ࡀᐇ⏝໬࡟ྥࡅࡓ኱ࡁ࡞ㄢ㢟࡜࡞ࡗ࡚࠾ࡾ㸪CFD࡟ࡼࡿண ᢏ⾡ࡢ☜❧ࡀᮃࡲࢀ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
᪤Ꮡ CFD ࢥ࣮ࢻ࡟࣓ࢱࣥ㸫㓟⣲⣔⇞↝࢞ࢫࣔࢹࣝࢆᑟධࡋ㸪Dual Bell ࣀࢬ࣭ࣝࢧࣈࢫࢣ࣮ࣝ⇞↝ヨ㦂࡟㐺⏝࡛ࡁࡿࡼ࠺ᨵಟࡋࡓ㸬ࡲࡓ㸪ヨ㦂⤖ᯝ࡜ࡢẚ㍑࡟ࡼࡿ᳨ド࡟╔ᡭࡋࡓ㸬㻌㻌

ᅗ1 ࣀࢬࣝᅽຊẚ45࡟࠾ࡅࡿ➼࣐ࢵࣁᩘ⥺ᅗ㸪ୖẁ㸸཯ᛂὶ㸪ୗẁ㸸෾⤖ὶ㸸Mach number contours at NPR=45, Top: Reacting flow, Bottom: Frozen flow䠉㻝㻝㻥䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
20᫬㛫
ࢣ࣮ࢫᩘ㸸
30ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 16㹼32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP㸪⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᖹᡂ28ᖺᗘ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘Ⓨ⾲ணᐃ.

ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

79,440.26

622.37䠉㻝㻞㻜䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻡㻞㻚㻌 ᪂ᆺᇶᖿ䝻䜿䝑䝖✵ຊ≉ᛶᇶ♏ヨ㦂㻌
Numerical Analysis of aerodynamic characteristics on H3 launch vehicle㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛 H3 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᒸ⏣໷ྐ(okada.masashi@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 H3 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ᑎᓥၨኴ(terashima.keita@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 H3 ࣉࣟࢪ࢙ࢡࢺࢳ࣮࣒㸪ఀᾏ⏣ⓡྐ(ikaida.hiroshi@jaxa.jp)୕⳻㔜ᕤᴗᰴᘧ఍♫ 㜵⾨Ᏹᐂࢻ࣓࢖ࣥ Ᏹᐂ஦ᴗ㒊 Ᏹᐂࢩࢫࢸ࣒ᢏ⾡㒊㸪
ఀ⸨ᩥ༤(fumihiro_itoo@mhi.co.jp)⚟⃝ ▐(syun_fukuzawa@mhi.co.jp)୕⳻㔜ᕤᴗᰴᘧ఍♫ ⥲ྜ◊✲ᡤ ὶయ◊✲㒊 ✵ຊ◊✲ᐊ㸪௒஭࿴ᏹ(kazuhiro_imai@mhi.co.jp)㻌 ஦ᴗࡢ┠ⓗH3 ࣟࢣࢵࢺ㛤Ⓨ࡛ᚲせ࡜࡞ࡿ✵ຊ≉ᛶゎᯒࢹ࣮ࢱࢆྲྀᚓࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
H3ࣟࢣࢵࢺヲ⣽タィࣇ࢙࣮ࢬ࡟࠾ࡅࡿᶵయᡂ❧ᛶࡢほⅬ࡛㸪㣕⾜⤒㊰ゎᯒ⏝✵ຊࢹ࣮ࢱ࠾ࡼࡧᵓ㐀タィ⏝Ⲵ㔜ゎᯒࡀᚲせ࡛࠶ࡿࡓࡵ㸪ࡑࡢ✵ຊ≉ᛶࢹ࣮ࢱࢆCFD࡛ྲྀᚓࡍࡿ㸬㐣ཤ㛤Ⓨ࡟࠾࠸࡚ࡣHandbook➼ࡢᩥ⊩್ࢆ࣮࣋ࢫ࡜ࡋ࡚࠸ࡓࡀ㸪CFDᢏ⾡࠾ࡼࡧィ⟬ᶵ㐍ᤖ࡟ࡼࡾᢏ⾡ⓗ࡟ࡣCFDࢆ⏝࠸ࡓಙ㢗ᛶࡢ㧗࠸ホ౯ࡀᢏ⾡ⓗ࡟ྍ⬟࡜࡞ࡗ࡚࠾ࡾ㸪タィ㧗⢭ᗘ໬㸭ᶵయ➇தຊ☜ಖࡢほⅬ࡛CFDゎᯒ࡟ࡼࡿࢹ࣮ࢱྲྀᚓࢆ┠ᣦࡍࡶࡢ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࣃࢥࣥ฼⏝࡟ࡼࡿゎᯒ᫬㛫ࡢ▷⦰ࡣ㸪ࢩࢫࢸ᳨࣒ウ࡬ࡢࣇ࢕࣮ࢻࣂࢵࢡࢆ㐺᫬ᐇ᪋ࡍࡿ஦ࡀྍ⬟࡜࡞ࡾ㸪タィ⢭ᗘࡢྥୖ࡟኱ࡁࡃᐤ୚ࡍࡿ㸬ࡲࡓ㸪ᶵయ/タഛ⤖ྜ≧ែ➼ࡢ኱つᶍィ⟬ࡶྍ⬟࡜࡞ࡾ㸪ࡼࡾᐇ⌧㇟࡟㏆࠸᳨ウࡀྍ⬟࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ḟ㡯࡟♧ࡍゎᯒ⤖ᯝࡼࡾ㸪H3 ࣟࢣࢵࢺᇶᮏタィ᳨ウ࡟౪ࡍࡿ✵ຊ≉ᛶࢹ࣮ࢱ࣮࣋ࢫࢆసᡂࡍࡿࡇ࡜ࡀ
࡛ࡁ㸪ࢩࢫࢸ࣒ᡂ❧ᛶࡢ┠㏵ࢆᚓࡓ㸬䠉㻝㻞㻝䠉

HPC@JAXA2015
㻌

㻌

㻌㻌

ᅗ 1 ኱Ẽ㣕⾜୰ゎᯒ(ᶵయ⾲㠃 Cp㸪24L ᙧែ㸪M=0.95 , Ș=5r, ȭ=0r)
㸸Pressure distribution on 24L(M=0.95 , Ș=5r, ȭ=0r)

㻌
ᅗ2 ᆅୖ㢼ゎᯒ(✵㛫Mᩘศᕸ㸪24Lᙧែ㸪ᑕᗙ㉳❧᫬)
㸸Velocity distribution on 24L(at launch pad)㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5᫬㛫㸦ᐃᖖ㸧㹼170᫬㛫㸦㠀ᐃᖖ㸧ࢣ࣮ࢫᩘ㸸⣙300ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
᭱኱960ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 ᭱኱32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣࡑࡢ௚1) H3 ࣟࢣࢵࢺᶵయࢩࢫࢸ࣒㛤Ⓨᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

6,195,098.13

403.64㻌䠉㻝㻞㻞䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻡㻟㻚㻌 ☢Ẽ䝸䝁䝛䜽䝅䝵䞁䛾䝎䜲䝘䝭䜽䝇䛻㛵䛩䜛◊✲㻌
Studies on dynamics of magnetic reconnection㻌 ஦ᴗᙧែ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ ኴ㝧⣔⛉Ꮫ◊✲⣔㸪⸨ᮏṇᶞ(fujimoto@stp.isas.jaxa.jp)ᵓᡂဨ㸸኱Ꮫ㝔⏕㸪ᑠᕝ໷ᩍ(ogawa@stp.isas.jaxa.jp)኱Ꮫ㝔⏕㸪ΎỈ೺▮(k.shimizu@stp.isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᏱᐂ⛉Ꮫ◊✲ᡤ࡛ᐇ᪋ࡍࡿኴ㝧-ᆅ⌫ᝨᫍ⣔⛉Ꮫศ㔝ࡢ⛉Ꮫ⾨࣑ᫍࢵࢩࣙࣥࡢ⛉Ꮫᡂᯝࢆᣑ኱ࡍࡿࡓ
ࡵ࡟ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡗ࡚⌮ㄽⓗ࡟ᨭ᥼ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ⌧ᅾ㐍⾜୰ࡢGeotail, MMO, ERG࡞࡝࡛ඹ㏻࡞Ᏹᐂࣉࣛࢬ࣐⌧㇟ࢆࢱ࣮ࢤࢵࢺࡋࡓ◊✲ࢆ㐍ࡵࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
Ᏹᐂ⛉Ꮫ฼⏝࡛ࡣୡ⏺᭷ᩘࡢィ⟬⬟ຊࢆ᭷ࡍࡿJSSࢆ฼⏝ࡍࢀࡤ㸪ୡ⏺ඛ➃ࣞ࣋ࣝࡢࢩ࣑࣮ࣗࣞࢩࣙ
ࣥ◊✲ࢆ⾜࠺ࡇ࡜ࡀ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᡂᯝձ
S.Kawai[2013]࡟ࡼࡗ࡚ᥦ᱌ࡉࢀࡓ㧗⢭ᗘ MHD ࢥ࣮ࢻࡣ㸪ᩘ್ὶయࢩ࣑࣮ࣗࣞࢩࣙࣥࡢศ㔝࡛ᥦ᱌ࡉࢀࡓࢥ࣮ࢻࢆ MHD ࡟ᛂ⏝ࡋࡓࡶࡢ࡛࠶ࡿ㸬ࡋ࠿ࡋ㸪☢Ẽࣜࢥࢿࢡࢩࣙࣥࡣ MHD ≉᭷ࡢ⌧㇟࡛࠶ࡾ㸪ὶయຊᏛࡢศ㔝࡛㐺⏝ྍ⬟࡛࠶ࡗࡓࢥ࣮ࢻࡀ☢Ẽࣜࢥࢿࢡࢩࣙࣥ࡬㐺⏝ྍ⬟࠿࡝࠺࠿ࡣ᫂ࡽ࠿
࡛ࡣ࡞࠸㸬ᮏ◊✲࡛ࡣࡇࡢ㧗⢭ᗘ MHD ࢥ࣮ࢻ࡛ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜࠸㸪ᮏࢥ࣮ࢻ࡛Ⓨ⏕ࡍࡿ☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢᛶ㉁ࢆㄪᰝࡋࡓ㸬㟁ὶᒙࡢ୧ഃ࡟㧗ᅽຊࡢࣉࣛࢬ࣐ࢆタ⨨ࡍࡿࡇ࡜࡛☢Ẽࣜࢥࢿࢡࢩࣙࣥࢆࢺ࣮ࣜ࢞ࡋࡓ㸬ࢺ࣮ࣜ࢞ࣉࣛࢬ࣐࡟ࡼࡾᗈ⠊ᅖ࡛㟁ὶᒙࢆᢲࡍࡇ࡜࡛」ᩘࡢ X-line ࡀⓎ⏕ࡋࡓ㸬」ᩘ X-line ࡟క࠺ࣉࣛࢬࣔ࢖ࢻࡣ཯ᑐ᪉ྥ࡟┦ᑐ㏿ᗘࢆᣢࡕ㸪᫬㛫⤒㐣ᚋࣉࣛࢬࣔ࢖ࢻࡢ⼥ྜ(re-reconnection)ࡀⓎ⏕ࡋࡓ(ᅗ 1)㸬ࣉࣛࢬ࣐ᅽ࡟ࡼࡾึᮇẁ㝵࡛Ⓨ⏕ࡋࡓ X-line ࡜ࣉࣛࢬࣔ࢖ࢻ⼥ྜ࡟ࡼࡾ஧ḟⓗ࡟Ⓨ⏕ࡋࡓ X-line ࢆࡑࢀࡒࢀ forward X-line, reverse X-line ࡜ࡍࡿ㸬forward X-lineࡣ≉࡟」ᩘࡢ୰࠿ࡽ᭱ࡶ༟㉺ࡋࡓࡶࡢࢆ㑅ᢥࡋࡓ㸬ࡑࢀࡒࢀࡢ X-line ࡛ࣜࢥࢿࢡࢩ࣮ࣙࣥࣞࢺࢆồࡵࡿ࡜㸪forward X-line ࡛࠾ࡼࡑ 0.1B0VA㸪reverse X-line ࡛࠾ࡼࡑ 0.3B0VA ࡜࡞ࡗࡓ(ᅗ 2)㸬ࡼࡗ࡚ᮏ
ࢥ࣮ࢻ࡛Ⓨ⏕ࡍࡿ☢Ẽࣜࢥࢿࢡࢩࣙࣥࡣ㸪㐣ཤࡢ MHD ࢥ࣮ࢻ࡛Ⓨ⏕ࡍࡿ☢Ẽࣜࢥࢿࢡࢩࣙࣥࡼࡾࡶ
㧗࠸ࣜࢥࢿࢡࢩ࣮ࣙࣥࣞࢺࢆ㐩ᡂࡋ㸪ࡉࡽ࡟⇿Ⓨⓗ࡞☢Ẽᓥ⼥ྜࡀⓎ⏕ࡍࡿ࡜࠸࠺ᛶ㉁ࢆᣢࡘࡇ࡜ࡀ
ศ࠿ࡗࡓ㸬

䠉㻝㻞㻟䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 re-reconnectionⓎ⏕᫬ࡢ㟁ὶᐦᗘࡢ࣮࢝ࣛࢥࣥࢱ࣮㸬ⓑࡢᐇ⥺ࡣ☢ຊ⥺ࢆ⾲ࡍ㸬
࠾ࡼࡑx=-60D࡟forward X-line㸪x=30D࡟reverse X-lineࡀᏑᅾࡍࡿ㸬 forward
X-lineࡣ」ᩘࡢX-lineࡢ୰࠿ࡽ᭱ࡶ༟㉺ࡋࡓX-lineࢆ㑅ᢥࡋ࡚࠸ࡿ㸬㸸Spatial pattern of field lines and current density upon coalescence of the twoislands. The reverse reconnection takes place at x~30.
㻌㻌
ᅗ 2 ࣜࢥࢿࢡࢩ࣮ࣙࣥࣞࢺࡣ forward X-line ࡛࠾ࡼࡑ 0.1B0VA㸪reverse X-line ࡛࠾ࡼࡑ 0.3 B0VA ࡜࡞ࡿ㸬ᅗ 1 ࡢ᫬้ࡣ reverse X-line ࡛ࡢࣜࢥࢿࢡࢩ࣮ࣙࣥࣞ
ࢺࡀ୍ᗘ┠ࡢࣆ࣮ࢡ್ 0.3 B0V ࡜࡞ࡿ᫬้࡛࠶ࡿ㸬
㸸(a) Time history of the reconnected rate. The red linesis for the forward
reconnection while the green line shows that of reverse reconnection. It isclear that reverse reconnection shows higher peak reconnection rates.

࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5.5᫬㛫
ࢣ࣮ࢫᩘ㸸
2ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA䠉㻝㻞㻠䠉HPC@JAXA2015ᡂᯝղ␗࡞ࡿึᮇ㟁ὶᒙᖜL࡜࢖࢜ࣥ㟁Ꮚ࣐ࢫẚMࢆ୚࠼ࡓ཯ᖹ⾜☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢ2ḟඖ⢏Ꮚࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ」ᩘ⾜࠸㸪☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢᡂ㛗ᮇ࡟࠾ࡅࡿࢫࢣ࣮ࣜࣥࢢ๎ࢆⓎぢࡋࡓ㸬ࡇࢀࡽࡢィ⟬࡟࠾࠸࡚㸪☢Ẽࣜࢥࢿࢡࢩࣙࣥࡣ㟁ὶᒙෆ࡟࠾ࡅࡿึᮇᨐ஘࡟ࡼࡗ࡚ບ㉳ࡋࡓ㸬ࣜࢥࢿࢡࢩࣙࣥ⋡ 㸦ࡇࡇ࡛ 㸪࢖࢜ࣥ័ᛶ㛗࡟ᑐࡍࡿ㟁ὶᒙᖜ࡛࠶ࡿ㸧ࢆࣜࢥࢿࢡࢩࣙࣥࣇࣛࢵࢡࢫ࡟ᑐࡋ࡚ࣉࣟࢵ
ࢺࡍࡿࡇ࡜࡟ࡼࡗ࡚㸪ࡑࢀࡒࢀࡢィ⟬୍࡛ࡘࡢ᭤⥺ࡀᥥ࠿ࢀࡿࡀ㸪ࡇࢀࡽࡢ᭤⥺ࡀ☢Ẽࣜࢥࢿࢡࢩࣙ
ࣥࡢᡂ㛗ᮇ㸦ࣜࢥࢿࢡࢩࣙࣥࣇࣛࢵࢡࢫ㸺2 㸪ࡇࡇ࡛ ࡣX-lineୖὶ࡟࠾ࡅࡿ☢᮰ᐦᗘ࡛࠶ࡿ㸧࡟࠾࠸୍࡚⮴ࡍࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬ࡲࡓ㸪␗࡞ࡿィ⟬࡟࠾࠸࡚ྠࡌࣜࢥࢿࢡࢩࣙࣥࣇࣛࢵࢡࢫ㸦 ༢఩㸧ࡢ᫬㸪
X-line㏆ഐࡢᵝࠎ࡞≀⌮㔞ࡢ✵㛫ᵓ㐀ࢆẚ㍑ࡋ㸪ࣜࢥࢿࢡࢩࣙࣥ⋡ࡢM㠀౫Ꮡᛶ࡜D౫Ꮡᛶ࡜ࢆ☜ㄆࡋࡓ㸬         
ᅗ3 6ࡘࡢィ⟬࡟࠾ࡅࡿ(a)ࣜࢥࢿࢡࢩࣙࣥࣇࣛࢵࢡࢫ ࡢ᫬㛫ኚ໬࡜㸪ࣜࢥࢿࢡࢩࣙࣥࣇࣛࢵࢡࢫ ࡟ᑐࡍࡿ㸦b㸧ࣜࢥࢿࢡࢩࣙࣥ⋡ ࡜㸪㸦c㸧ࢫࢣ࣮ࣝࢆኚ࠼ࡓࣜࢥࢿࢡࢩࣙࣥ⋡ୖ‫ ୖ ؠ כ‬ଵȀଶ 㸬㸦a㸧ࣜࢥࢿࢡࢩࣙࣥࡣ㟁ὶᒙᖜࡀཌࡃ࡞ࡿ࡯࡝ࡺࡗࡃࡾⓎᒎࡍࡿ㸬㸦b㸧☢Ẽࣜࢥ
ࢿࢡࢩࣙࣥࡢⓎ㐩ᮇ࡟ࡣRun 1࡜2A㸪2B࡟࠾ࡅࡿࣜࢥࢿࢡࢩࣙࣥ⋡ࡢ᫬㛫ኚ໬ࡣRun 3㸪4ࡢࣜࢥࢿࢡࢩࣙࣥ⋡ࡢ᫬㛫ኚ໬ྠᵝ࡟㔜࡞ࡿࡀ㸪
㸦c㸧ࢫࢣ࣮ࣝࢆኚ࠼ࡓሙྜࡣࡍ࡭࡚ࡢィ⟬࡟࠾࠸࡚㔜࡞ࡿ㸬Run 1࡜2A㸪2Bࡑࡋ࡚Run 3࡜4ࡣྠࡌM㸦࢖࢜ࣥ࡜㟁Ꮚࡢ㉁㔞ẚ㸧ࢆᣢࡘ㸬ᚑࡗ࡚㸪ࣜࢥࢿࢡࢩࣙࣥ⋡ࡣM࡟ࡣ౫Ꮡࡋ࡞࠸ࡀ㸪ึᮇ㟁ὶᒙᖜD࡟ࡣିଵȀଶ ࡜ࡋ࡚౫Ꮡࡍࡿ㸬

㸸(a) Time history of the reconnected flux Ȱ and (b) Reconnection rates ୖ , (c) the
rescaled reconnection rates ୖ‫ ୖ ؠ כ‬ଵȀଶ as function of reconnected flux Ȱ in six
runs. (a) The reconnection process is substantially slower when the sheet width is
thicker. (b) While the reconnection rate in run 1, 2A, and 2B, overlaps with eachother as well as that in run 3 and 4 in the early stage of magnetic reconnection(ȰȀ଴  ൏ ʹ), (c) all of the rate overlap in the stage. Note that run 1, 2A and 2B
have the same M as well as run 3 and 4 do. Therefore the reconnection rate does
not depend on M but clearly depends on D by ିଵȀଶ in the phase.

䠉㻝㻞㻡䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
12᫬㛫
ࢣ࣮ࢫᩘ㸸
6ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
20ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) M.Ogawa, M.Fujimoto and S.Kawai, Study of fast magnetic reconnection by using newly highresolution MHD scheme, SGEPSS(Tokyo,2015,11)2) ᪥ᮏᆅ⌫ᝨᫍ⛉Ꮫ㐃ྜ2015ᖺ኱఍㸦༓ⴥ㸦᪥ᮏ㸧2015.05.22-05.26 ࣏ࢫࢱ࣮㸧3) ᆅ⌫㟁☢Ẽ࣭ᆅ⌫ᝨᫍᅪᏛ఍㸦ᮾி㸦᪥ᮏ㸧2015.10.31-11.03 ࣏ࢫࢱ࣮㸧4) ☢Ẽᅪࢩ࣏ࣥࢪ࣒࢘㸦ᮾி㸦᪥ᮏ㸧 2015.12.01-12.03 ࣏ࢫࢱ࣮㸧ᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

1,910,483.65

195,873.17

㻌

䠉㻝㻞㻢䠉

SORA-LM

34,303.93

SORA-TPP

1,124.30

HPC@JAXA2015㻌㻡㻠㻚㻌 䝇䜽䝷䝮䝆䜵䝑䝖䜶䞁䝆䞁ෆ㒊ᙧ≧䛾✵ẼຊᏛⓗຠᯝ㻌
Aerodynamic Research on Flow Path Configuration of a Scramjet Engine㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪బ⸨ ⱱ(sato.shigeru㸾jaxa.jp)ᵓᡂဨ㸸ᰴᘧ఍♫᪥❧ࢯ࣮ࣜࣗࢩࣙࣥࢬᮾ᪥ᮏ㸦ゅ⏣ᅾ໅㸧㸪㧗ᶫṇᬕ(takahashi.masaharu@jaxa.jp)ᰴᘧ఍♫᪥❧ࢯ࣮ࣜࣗࢩࣙࣥࢬᮾ᪥ᮏ㸦ゅ⏣ᅾ໅㸧㸪Ώ㑓Ꮥᏹ(watanabe.takahiro@jaxa.jp)ᰴᘧ఍♫᪥❧ࢯ࣮ࣜࣗࢩࣙࣥࢬᮾ᪥ᮏ㸦ゅ⏣ᅾ໅㸧㸪᐀ീ฼ᙪ(munakata.toshihiko@jaxa.jp)ᰴᘧ఍♫ࢫ࣮࣌ࢫࢧ࣮ࣅࢫ㸦ゅ⏣ᅾ໅㸧㸪⚟஭ṇ᫂(fukui.masaaki@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ෌౑⏝ᆺᏱᐂ᥎㐍ᶵ㛵࡛࠶ࡿ」ྜ᥎㐍࢚ࣥࢪࣥࡢ୺せ࣮ࣔࢻ࡛࠶ࡿࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥ࡟ᑵ࠸
࡚㸪ࡑࡢෆ㒊ᙧ≧ࡀ࢚ࣥࢪࣥᛶ⬟࡟ཬࡰࡍᙳ㡪ࢆCFD᥼⏝࡟࡚✵ẼຊᏛⓗ࡟ゎ᫂ࡋ㸪」ྜ࢚ࣥࢪࣥࡢタィ࡟㈨ࡍࡿࡇ࡜㸬ゅ⏣Ᏹᐂࢭࣥࢱ࣮࡟⵳✚ࡉࢀ࡚࠸ࡿ㇏ᐩ࡞࢚ࣥࢪࣥヨ㦂⤖ᯝ࠿ࡽ࢚ࣥࢪࣥᛶ⬟ྥୖ࡟⧅ࡀࡿᅉᏊࢆᢳ
ฟࡍࡿࡓࡵ㸪࢚ࣥࢪࣥヨ㦂⤖ᯝ࡜ᑐẚࡍࡿ CFD ࡀ୙ྍḞ࡛࠶ࡾ㸪ࡲࡓ࢚ࣥࢪࣥᛶ⬟ྥୖ࡟⧅ࡀࡿࡶࡢ࡜
ࡋ࡚⪃᱌ࡉࢀࡓ࢚ࣥࢪࣥᙧែࢆヨࡍ࡟ࡶ CFD ࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ┠ᶆゅ⏣Ᏹᐂࢭࣥࢱ࣮࡛ࡣ」ྜ᥎㐍࢚ࣥࢪࣥࡢ୺せ࣮ࣔࢻ࡜ࡋ࡚ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥࡢ◊✲ࢆ㐍ࡵ࡚࠾ࡾ㸪࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥヨ㦂タഛ㸦RJTF㸧ࢆ⏝࠸࡚࢚ࣥࢪࣥᛶ⬟ヨ㦂ࢆከᩘ㔜ࡡ࡚᮶࡚࠸ࡿ㸬ࡑࡢ㐣⛬࡛ࡣ࢚ࣥࢪࣥࡢෆ㒊ᙧ≧ࡢ୍㒊ࡢ㐪࠸ࡀ࢚ࣥࢪࣥᛶ⬟࡟኱ࡁ࡞ᙳ㡪ࢆ୚࠼ࡿࡇ࡜ࡀศ࠿ࡗ࡚࠸
ࡿ㸬࢚ࣥࢪࣥࡢ୺せ⣲࡛࠶ࡿ࢖ࣥࣞࢵࢺ㸪ศ㞳㒊㸪ࢫࢺࣛࢵࢺ➼ࡢෆ㒊ᙧ≧ࡢ㐪࠸ࡀ࢚ࣥࢪࣥᛶ⬟࡟࡝ࡢᵝ࡟ᙳ㡪ࡍࡿࡢ࠿㸪ᙜゅ⏣ࢭࣥࢱ࣮࡟⵳✚ࡉࢀ࡚࠸ࡿ㇏ᐩ࡞ᐇ㦂ࢹ࣮ࢱ࡟ᇶ࡙ࡁྛᙧែࡢࢩ࣑࣮ࣗࣞࢩ
ࣙࣥࢆCFD࡟࡚㐙⾜ࡍࡿ࡜ඹ࡟㸪ࡲࡓヨ㦂ᮍᐇ᪋ࡢᙧែ࡟ࡘ࠸࡚ࡶࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜ࡗ࡚࠸ࡿ㸬࢚ࣥࢪࣥෆ㒊ᙧ≧ࡢ✵ẼຊᏛⓗຠᯝࢆ CFD ᥼⏝࡟ࡼࡾ㏣ồࡋ㸪ᐇ㦂ࢹ࣮ࢱ࡜ࡢᑐẚࢆ㔜ࡡ㸪✵ຊⓗຠᯝࢆయ⣔໬ࡋ㸪」ྜ࢚ࣥࢪࣥࡢタィࡢุ᩿ᮦᩱࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥ࡟ᑵ࠸࡚㸪ࡑࡢෆ㒊ᙧ≧ࡀ࢚ࣥࢪࣥᛶ⬟࡟ཬࡰࡍᙳ㡪ࢆCFD᥼⏝࡟࡚✵ẼຊᏛⓗ࡟ゎ᫂ࡍࡿࡇ࡜㸬ᨵⰋࢆຍ࠼ࡓ࢚ࣥࢪࣥᙧែࢆࢫࣃࢥࣥୖ࡟࡚ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜࠸㸪ᛶ⬟ࢆホ౯ࡍࡿࡇ࡜㸬䠉㻝㻞㻣䠉

HPC@JAXA2015㻌 ௒ᖺᗘࡢᡂᯝ
ࢫࢡ࣒࢚ࣛࣥࢪࣥὶ㊰ࡢ୰ኸ࡟タ⨨ࡉࢀࡿᨭᰕ㸦ࢫࢺࣛࢵࢺ㸧ࡢᚋ⦕ࡀ࣮࣎ࢺࢸ࢖ࣝᙧ࡛࠶ࡿ࢚ࣥࢪ
ࣥᙧែ࡟ࡘ࠸࡚㸪࢚ࣥࢪࣥヨ㦂ᐇ᪋῭ࡳᙧែ࡜ᑐẚࡋ㸪࢚ࣥࢪࣥෆ㒊ㅖ㔞ࡢ㐪࠸ࢆẚ㍑ࡋࡓ㸬㸦ᅗ 1㸧 ẚ
㍑ࡣ 3 ḟඖ㸪Ẽὶ᮲௳࡟࡚⾜࠸㸪࢚ࣥࢪࣥෆࡢ⾪ᧁἼ➼ࡢᙳ㡪ࢆㄪ࡭ࡿࡇ࡜࡛⾜ࡗࡓ㸬࢚ࣥࢪࣥෆࡢྛ
᩿㠃࡟࠾ࡅࡿ㉁㔞ὶ⋡㸦ǒu㸧ศᕸࢆㄪ࡭㸪ǒu ศᕸࡢ㧗࠸఩⨨ࢆ㏻ࡿὶ⥺ࢆ᥈ࡍࡓࡵ㸪㧗 ǒu ศᕸ఩⨨࡟
Ⅼࢆ 5 Ⅼᐃࡵࡑࡢ఩⨨࠿ࡽὶ⥺ࢆୖὶ࡟㐳ࡾ㎺ࡿ᪉ἲࢆ᥇ࡗࡓ㸬ࡇࡢ 5 Ⅼ࠿ࡽ㐳ࡗࡓෆ 2 Ⅼ࠿ࡽࡢὶ⥺ࡣ㎺ࡾษࡿࡇ࡜ࡀ࡛ࡁ㸪ࢫࢺࣛࢵࢺࡢ࢝࢘ࣝᐤࡾࡢ఩⨨ࢆ㏻㐣ࡋ࡚ࡃࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬ࡇࡢᡭἲ࡟ࡼ
ࡾ㸪⇞ᩱᄇᑕ఩⨨ࡢೃ⿵ࢆぢฟࡍࡇ࡜ࡀ࡛ࡁ㸪ࡇࡢὶ⥺ࡢࡇ࡜ࢆ᭷ຠὶ⥺࡜࿧ࡪ㸬ᅗ 2 ࡟ࡣࡑࡢ᭷ຠὶ
⥺ࡢ㏻㐣Ⅼࢆ㉥୸࡛♧ࡋ㸪ྠ᫬࡟⇞↝ჾẁᕪ࡜ᖹ⾜࡞᪉ྥ㸦࢚ࣥࢪࣥᚋ㏥ゅ᪉ྥ㸧࡟࠾࠸࡚ኳᯈഃ࡟ 3
Ⅼ㸪࢝࢘ࣝഃ࡟ 3 Ⅼ㸪௬᝿ⓗ࡟᣺ࡗ࡚ࡳࡓ㸬᣺ࡾᖜࡣ 7.1mm ࡎࡘ࡛࠶ࡿ㸬5/5 㧗ࡉࢫࢺࣛࢵࢺᙧែ࡛ࡣ
㧗㉁㔞ὶ⋡㡿ᇦࡢ➃ࢆ㏻ࡿ㸬୍᪉㸪ẚ㍑┦ᡭࡢ࣮࣎ࢺࢸ࢖ࣝᙧࢫࢺࣛࢵࢺᙧែ࡛ࡣ㸪࢚ࣥࢪ᩿ࣥ㠃୰ᚰ㒊࡟ᙧᡂࡉࢀ࡚࠸ࡿ㧗㉁㔞ὶ⋡㡿ᇦࡢ୰ᚰ㒊ࢆ㈏࠸࡚࠸ࡿ㸬௬࡟ᄇᑕ఩⨨ࡀ࢚ࣥࢪࣥᚋ㏥ゅ᪉ྥ࡟ከᑡ
ࡎࢀࡓ࡜ࡋ࡚ࡶ㸪ࢫࢺࣛࢵࢺഃ㠃࠿ࡽᄇᑕࡉࢀࡓ⇞ᩱࡣ㧗㉁㔞ὶ⋡㡿ᇦ࡟ධࡾ㎸ࡴࡇ࡜ࡀศ࠿ࡗࡓ㸬ࡇࡢࡇ࡜ࡣ࢚ࣥࢪࣥෆࡢ⇞ᩱศᕸࡢᨵၿ࡟ࡋࡍࡿࡶࡢ࡛㸪ࡇࡢᡭἲ࡟ࡼࡾ࢚ࣥࢪࣥࡢ᥎ຊᛶ⬟ࢆྥୖࡉᚓ
ࡿྍ⬟ᛶࡀ᭷ࡿ㸬㻌㻌㻌㻌㻌㻌㻌㻌㻌㻌
a) 5/5㧗ࡉࢫࢺࣛࢵࢺᙧែ          b )࣮࣎ࢺࢸ࢖ࣝᙧࢫࢺࣛࢵࢺᙧែ
㸸5/5-Height Strut Configuration
㸸Boat-tail Strut Configuration㸺࢚ࣥࢪࣥヨ㦂῭ࡳࡢᙧែ㸼        㸺ᨵⰋࢆぢ㎸ࢇࡔ௬᝿ᙧែ㸼㸸Tested engine
㸸Improved virtual engie
ᅗ1 ࢫࢺࣛࢵࢺ஧ᙧែ㸫୧ᙧែ࡟ࡘ࠸࡚CFD࡛ẚ㍑
㸸Two strat configurtions – compared by means of CFD

㻌

䠉㻝㻞㻤䠉

㻌

㻌

HPC@JAXA2015㻌㻌㻌a)5/5㧗ࡉࢫࢺࣛࢵࢺᙧែ          b)࣮࣎ࢺࢸ࢖ࣝᙧࢫࢺࣛࢵࢺᙧែ
5/5-Height Strut configuration      Boat-tail Strut configuration
ᅗ2 ᭷ຠὶ⥺࡜ẁᕪ࡜ᖹ⾜࡞᪉ྥ࡟タࡅࡓ௬᝿ὶ⥺㸸The effective streamline and virtual streamlines passing
the points set parallel to the back-ward facing step.

㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
360᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸ࡑࡢ௚㸦Fluent࡟ࡼࡿ㸧ࢫࣞࢵࢻ୪ิᡭἲ㸸ࡑࡢ௚㸦Fluent࡟ࡼࡿ㸧฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) బ⸨㸪⚟஭㸪Ώ㑓㸪᐀ീ㸪㺀ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥ⇞ᩱ᭱㐺໬ศᕸ࡟ྥࡅࡓ᳨ウ㸫ὶ⥺㐳ୖἲ࡟ࡼࡿ᥈⣴㺁㸪➨47ᅇὶయຊᏛㅮ₇఍ཬࡧᖹᡂ27ᖺᗘ⯟✵Ᏹᐂࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘ㄽᩥ㞟㸪Ᏹᐂ⯟✵◊✲㛤Ⓨᶵᵓ≉ู㈨ᩱ㸪ᖹᡂ28ᖺ3᭶ཱྀ㢌Ⓨ⾲2) Sato, Fukui, Watanabe and Munakata, ”Virtual Experiment for Optimization of Fuel Distribution
in a Scramjet Engine”, AIAA 2015-3598, 20th AIAA International Space Planes et al Conference,
July 2015, Glasgow.
3) బ⸨㸪⚟஭㸪Ώ㑓㸪᐀ീ㸪㺀ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥ⇞ᩱ᭱㐺໬ศᕸ࡟ྥࡅࡓ᳨ウ㸫ὶ⥺㐳ୖἲ࡟ࡼࡿ᥈⣴㺁㸪➨47ᅇὶయຊᏛㅮ₇఍ཬࡧᖹᡂ27ᖺᗘ⯟✵Ᏹᐂࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪ᖹᡂ27
ᖺ7᭶㥖ሙ4) బ⸨㸪⚟஭㸪Ώ㑓㸪᐀ീ㸪㺀ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥෆὶࢀ࡟࠾ࡅࡿ⾪ᧁἼᵓ㐀࡜⇞ᩱᙜ㔞ẚศᕸ㸫ὶ⥺㐳ୖἲ࡟ࡼࡾᚓࡽࢀࡓ᭷ຠὶ⥺࠿ࡽࡢᒎ㛤㺁㸪ᖹᡂ27ᖺᗘ⾪ᧁἼࢩ࣏ࣥࢪ࣒࢘㸪ᖹᡂ28ᖺ3᭶⇃
ᮏ

䠉㻝㻞㻥䠉

HPC@JAXA2015㻌ࡑࡢ௚5) బ⸨ ⱱ㸪ࠕࣟࢣࢵࢺࡢ࢚ࢿࣝࢠ཰ᨭ࡜ࢫࢡ࣒ࣛࢪ࢙ࢵࢺࡢ✵ẼຊᏛࠖ㸪᪩✄⏣኱Ꮫ኱Ꮫ㝔⌮ᕤᏛ◊✲⛉ㅮ₇఍㸪ᖹᡂ 27 ᖺ 9 ᭶ 17 ᪥㸪᪩✄⏣኱Ꮫ⌮ᕤᏛ㒊 㸦ࢫࢡ࣒ࣛࢪ࢙ࢵࢺࡢ✵ẼຊᏛࡢ⟠ᡤ࡛ CFD ⤖ᯝࢆ౑⏝㸧㻌
㻌ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,623.60

SORA-PP

33,890.06

䠉㻝㻟㻜䠉SORA-LM

9.46

SORA-TPPHPC@JAXA2015㻌㻡㻡㻚㻌 タィ᥈ᰝ䛻㛵䛩䜛Ꮫ⾡◊✲㻌
Research on Design Exploration㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ㸪኱ᒣ ⪷(oyama@flab.isas.jaxa.jp)ᵓᡂဨ㸸ᮾி኱Ꮫ㸪ᑎ㛛኱Ẏ(terakado@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪㜿㒊ᆂ᫭(abe@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪Taufik Slaiman(taufik@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪ᮤ ᮾ㍤(lee@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪⚟ᮏᾈ❶(fukumoto@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪Fortunate Nucera(nucera@flab.isas.jaxa.jp)ᮾி኱Ꮫ኱Ꮫ㝔㸪ὸ㔝වே(asano@flab.isas.jaxa.jp)ᮾி኱Ꮫ኱Ꮫ㝔㸪᳃ᖹග୍(morihira@flab.isas.jaxa.jp)
ᮾி㎰ᕤ኱Ꮫ኱Ꮫ㝔㸪ᯇཎᬡⰋ(matsubara@flab.isas.jaxa.jp)ᶓ὾ᅜ❧኱Ꮫ኱Ꮫ㝔㸪᳃୰୍ㄔ(morihira@flab.isas.jaxa.jp)ᮾி኱Ꮫ㸪ຍ⸨኱♸(dkato@flab.isas.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪ᑠ⃝㞝ኴ(ozawa@flab.isas.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪ཎ⏣ᣅᘺ(harada@flab.isas.jaxa.jp)ᮾி⌮⛉኱Ꮫ㸪୰㔝ᏹ❶(nakano@flab.isas.jaxa.jp)
Nanyang Technological University, Sirigatti Daniele( sirigatti@flab.isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᏱᐂ⛉Ꮫศ㔝࡟࠾ࡅࡿ✵ẼຊᏛⓗㅖၥ㢟࡟㛵ࡍࡿ◊✲㸬㻌 ஦ᴗࡢ┠ᶆᏱᐂ⛉Ꮫศ㔝࡟࠾ࡅࡿ✵ẼຊᏛⓗㅖၥ㢟࡟㛵ࡍࡿ▱ぢࢆᚓࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᐇ㦂࡛ࡣᐇ᪋ࡍࡿࡇ࡜ࡀ㞴ࡋ࠸ከ┠ⓗタィ᥈ᰝࢆ⾜࠺ࡇ࡜㸬㻌 ௒ᖺᗘࡢᡂᯝ
CFD࡜ከ┠ⓗ㐍໬ィ⟬ࢆ⏝࠸࡚㸪඲⩼ᆺⅆᫍ㣕⾜ᶵࡢ⩼ᆺᙧ≧ࡢከ┠ⓗタィ᭱㐺໬ࢆ⾜ࡗࡓ㸬┠ⓗ㛵ᩘࡣ1)ᥭᢠẚ㸪2)⩼᩿㠃✚㸪3)㢼ᅽ୰ᚰ఩⨨࡜༙⩼ᘻ㛗࡜ࡢᕪ,ࡢ᭱ᑠ໬࡛࠶ࡿ㸬ከ┠ⓗタィ᭱㐺໬ࡢ⤖ᯝ㸪ୖ㠃࡟SᏐࡢ࢟ࣕࣥࣂ࣮ࢆ㸪ୗ㠃ࡣ୰ᚰ௜㏆࡟ṇࡢ࢟ࣕࣥࣂ࣮ࢆᣢࡘᙧ≧ࡀ඲⩼ᆺⅆᫍ㣕⾜ᶵࡢ⩼ᆺ࡜ࡋ࡚Ⰻ࠸ᛶ⬟ࢆᣢࡘࡇ࡜ࡀࢃ࠿ࡗࡓ㸬䠉㻝㻟㻝䠉

HPC@JAXA2015㻌㻌㻌
ᅗ 1 ඲⩼ᆺⅆᫍ㣕⾜ᶵࡢ⩼ᆺᙧ≧ࡢከ┠ⓗタィ᭱㐺໬ࡢ⤖ᯝ㸸Result of multiobjective design optimization of airfoil
shape for a flying-wing-type Mars airplane㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5᫬㛫༙
ࢣ࣮ࢫᩘ㸸
160ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
54ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,634,350.72

SORA-PP

10,227.49

㻌
㻌

㻌

䠉㻝㻟㻞䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻡㻢㻚㻌 ኱Ẽ✺ධᶵ䛾⇕✵ຊホ౯䝅䝇䝔䝮䛾㧗ᗘ໬㻌
Sophistication of prediction of aerothermal environment on atmospheric entry vehicles
㻌 ஦ᴗᙧែ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪὾ᮏ ⁠(hamamoto.shigeru@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪㕥ᮌಇஅ(suzuki.toshiyuki@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪Adrien Lemal (adrien.lemal@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᑠ⃝Ᏹᚿ(ozawa.takashi@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᝨᫍ᥈ᰝ࢝ࣉࢭࣝࡀ኱Ẽᅪ✺ධ᫬࡟ཷࡅࡿ✵ຊຍ⇕࠾ࡼࡧ✵ẼຊᏛⓗ࡞ຊ㸦௨ୗ㸪⇕✵ຊ≉ᛶ࡜࿧⛠ࡍࡿ㸧ࢆᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ㧗⢭ᗘ࡟ண ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬ࡲࡓ㸪⇕✵ຊ≉ᛶࡢண ⢭ᗘࢆྥୖࡍࡿࡓࡵࡢ⇕໬Ꮫࣔࢹ࣭ࣝᩘ್ゎᯒᡭἲࢆ㛤Ⓨࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᝨᫍ኱Ẽᅪ✺ධ࡟࠾࠸࡚㸪x ᴟ㉸㡢㏿㣕⾜᫬࡟ཷࡅࡿ࢝ࣉࢭࣝቨ㠃⇕ὶ᮰࠾ࡼࡧ✵ຊ≉ᛶࡢ㧗⢭ᗘ࡞ホ౯㸬x ࣃࣛࢩ࣮ࣗࢺᒎ㛤Ⅼ௜㏆ࡢள㡢㏿㹼㑄㡢㏿㹼㉸㡢㏿㣕⾜᫬࡟࠾ࡅࡿ✵ຊ≉ᛶࡢ㧗⢭ᗘ࡞ホ౯ࢆྍ⬟࡟ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᥭຊ㣕⾜㸦᭷㏄ゅ㣕⾜㸧࡟ࡼࡿ኱Ẽᅪ✺ධ࡟࠾࠸࡚ᴟ㉸㡢㏿㣕⾜᫬ࡢ✵ຊຍ⇕㔞ࢆṇ☜࡟ホ౯ࡍࡿࡓࡵ࡟ࡣ㸪✺ධ㌶㐨࡟ἢࡗ࡚ఱࢣ࣮ࢫࡶࡢ୕ḟඖゎᯒࢆ⾜࠺ᚲせࡀ࠶ࡿ㸬ࡑࡢࡼ࠺࡞ከᩘࢣ࣮ࢫࡢ୕ḟඖゎᯒࢆ▷ᮇ㛫࡛ᐇ᪋ࡋ㸪㌶㐨ࡸ࢝ࣉࢭࣝᙧ≧ࡢኚ᭦࡟࡜ࡶ࡞࠺෌ホ౯࡞࡝ࡢせㄳ࡟ࡶᑐᛂࡍࡿࡓࡵ࡟ࡣ
ࢫࣃࢥࣥࡀ୙ྍḞ࡛࠶ࡿ㸬ࡲࡓᮏ஦ᴗ࡛ࡣ㸪ࣃࣛࢩ࣮ࣗࢺᒎ㛤Ⅼ௜㏆࡛ࡢ㉸㡢㏿௨ୗࡢ࣐ࢵࣁᩘ㡿ᇦ࡛ࡣ࢝ࣉࢭࣝ࿘ࡾࡢ஘ὶሙࢆ㧗⢭ᗘ࡟ゎࡃࡓࡵ࡟ Large Eddy Simulation㸦LES㸧ࢆά⏝ࡋ࡚࠸ࡿ㸬LES
࡟ࡼࡿ୕ḟඖࡢ㠀ᐃᖖゎᯒࡣ㠀ᖖ࡟ィ⟬ࢥࢫࢺࡀ㧗ࡃ㸪࢝ࣉࢭࣝタィ࡟ᚲせ࡞ከࢣ࣮ࢫࡢゎᯒࢆᐇ᪋ࡍ
ࡿࡓࡵ࡟ࡣࢫࣃࢥࣥ฼⏝ࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
㉸㡢㏿ࣃࣛࢩ࣮ࣗࢺ࿘ࡾࡢὶࢀሙ㸪࢝ࣉࢭ࣭ࣝࣃࣛࢩ࣮ࣗࢺࡢ୙Ᏻᐃᛶ㸪㛤ച⾪ᧁຊ࡞࡝ࡢ㛤ചࢲ࢖ࢼ࣑ࢡࢫࢆ෌⌧ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡋ࡚㸪ከᩘࡢᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆᐇ᪋ࡋࡓ㸬୺࡞ᡂᯝ࡜ࡋ࡚㸪
FaSTARࢆ⏝࠸ࡓࣃࣛࢩ࣮ࣗࢺࡢ㔠ᒓ๛యࣔࢹࣝࡢᐃᖖゎᯒࢆ⾜࠸㸪ὶࢀሙ࣭✵ຊಀᩘ࡟࠾࠸࡚ᐇ㦂⤖ᯝ࡜ᴫࡡ୍⮴ࡍࡿ⤖ᯝࢆᚓࡓ㸦ᅗ1㸧㸬ࡲࡓ㸪LES࡟ࡼࡿⅆᫍ኱Ẽᅪ✺ධ࢝ࣉࢭࣝࡢ㠀ᐃᖖゎᯒࢆ⾜࠸㸪ࣃࣛࢩ࣮ࣗࢺ㛤ചⅬ㸦M = 1.6㸧࡛ࡢ࢝ࣉࢭࣝືᏳᐃ≉ᛶࢆホ౯ࡋࡓ㸦ᅗ2㸧㸬䠉㻝㻟㻟䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 FaSTAR࡟ࡼࡿࣃࣛࢩ࣮ࣗࢺࡢ㔠ᒓ๛యࣔࢹࣝࡢᐃᖖゎᯒ㸪 M =1.6 ࡟࠾ࡅࡿᐦᗘ໙㓄࡜ࢩ࣮ࣗࣜࣞࣥ⏬ീ࡜ࡢẚ㍑㸦ୖ㸸ࢩ࣮ࣗࣜࣞࣥ⏬ീ㸪ୗ㸸ゎᯒ⤖ᯝ㸧㸸Comparison with Schlieren image of density gradient,  M =1.6 (upper : Schlieren
image,lower : simulation)㻌㻌
ᅗ2 ⅆᫍ኱Ẽᅪ✺ධ࢝ࣉࢭࣝ࡟ᑐࡍࡿ M = 1.6 ࡛ࡢືᏳᐃゎᯒࡢ⤖ᯝ㸦ᕥ㸸▐᫬ࡢ࣐ࢵࣁᩘศᕸ㸪ྑ㸸࢝ࣉࢭࣝ㏄ゅࡢ᫬㛫ኚ໬㸧㸸Dynamic stability analysis of a Mars entry capsule at M = 1.6 using LES(left : instantaneous contours of Mach number, right : time histories of angle of attack)㻌

䠉㻝㻟㻠䠉

㻌

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

50᫬㛫
10ࢣ࣮ࢫ
296㸦37ࣀ࣮ࢻ㸧
4ࢥ࢔
MPI
OpenMP
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Matsuyama, S. and Fujita, K., “Dynamic Stability Analysis of a Mars Entry Capsule usinglarge-Eddy Simulation,” ISTS 2015-e-06, Kobe, July 2015.
2) ᚨỌ㈼ኴ㑻㸪㧘ᰡ኱ᶞ㸪㕥ᮌಇஅ㸪⸨⏣࿴ኸ㸪͆๛యࣔࢹ࡛ࣝᶍᨃࡋࡓ㉸㡢㏿ࣃࣛࢩ࣮ࣗࢺࡢὶࢀሙゎᯒ͇㸪⯟✵ᏱᐂᏛ఍➨47ᮇᖺ఍㸪2016ᖺ4᭶14᪥.
ཱྀ㢌Ⓨ⾲3) ᚨỌ㈼ኴ㑻㸪㧘ᰡ኱ᶞ㸪㕥ᮌಇஅ㸪⸨⏣࿴ኸ㸪͆๛యࣔࢹ࡛ࣝᶍᨃࡋࡓ㉸㡢㏿ࣃࣛࢩ࣮ࣗࢺࡢὶࢀሙゎᯒ͇㸪⯟✵ᏱᐂᏛ఍➨47ᮇᖺ఍㸪2016ᖺ4᭶14᪥.

ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]1,382,034.84

SORA-PP

65,679.85

䠉㻝㻟㻡䠉SORA-LM

SORA-TPP㻌HPC@JAXA2015㻌㻡㻣㻚㻌 ከḟඖ 㻹㻴㻰 䝅䝭䝳䝺䞊䝅䝵䞁䛻䜘䜛㉸᪂ᫍṧ㧁䛾◊✲㻌
Multi-dimensional MHD Simulations of Supernova Remnants㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ Ᏹᐂ≀⌮Ꮫ◊✲⣔㸪㧗ᶫᛅᖾ(takahasi@astro.isas.jaxa.jp)ᵓᡂဨ㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ Ᏹᐂ≀⌮Ꮫ◊✲⣔㸪ᮤ ඙⾮(slee@astro.isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗDevelopment of a multi-dimensional platform for magnetohydrodynamic (MHD) simulation ofsupernova remnants (SNRs) with the capability of handling a complex network of microphysics suchas nonlinear particle acceleration and non-equilibrium ionization (NEI) of hot plasma, and thecalculation of the associated observables like thermal and non-thermal photon emission in
multi-wavelength.

㻌 ஦ᴗࡢ┠ᶆ
1. Using the simulation code to model and interpret observational data from space telescopes, especially theupcoming spectroscopic data from the new Hitomi satellite.
2. Investigate multi-dimensional effects at SNRs in inhomogeneous systems (e.g., interaction of shocks withadjacent dense molecular clouds).

㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
The computation capability of the Sora system is essential for testing and running the developing
simulation code in sufficient spatial resolutions and for a long enough physical time period to be
useful for direct comparison with observational data.

㻌 ௒ᖺᗘࡢᡂᯝ
A working prototype of the targeted simulation code has been developed this year, thanks to theavailability of the recently updated Sora supercomputer. Currently, our code has the ability to model
MHD evolution of a SNR interacting with an inhomogeneous medium such as molecular clouds. We
have confirmed important effects including significant amplification of magnetic fields atshock-cloud interaction sites that are believed to be crucial in facilitating efficient cosmic ray
acceleration and hence bright gamma-ray and/or non-thermal X-ray emissions observed from young
and middle-aged SNRs. Secondly, we have successfully incorporated a fully functional unit forhandling NEI plasma that is able to track the ionization states of important X-ray emitting chemicalelements in a space- and time-resolved manner. An accompanying X-ray emission code has also been
written and tested.

䠉㻝㻟㻢䠉HPC@JAXA2015
Further careful testing and development of the code is ongoing. The code will be put into operation for simulating
realistic SNR systems and their X-ray emission in the near future.

㻌㻌

Fig.1 Detailed distribution (colorbar: mass fraction) of ions behind a strong SNR shock interactingwith a clumpy molecular cloud in 2-D. As an example, Si ions are shown here. This information
is used to compute high-resolution X-ray spectra from the NEI plasma (see Fig. 2).

㻌㻌
Fig. 2 High-resolution X-ray spectrum from a 2-D MHD-NEI simulation of a SNR shock interactingwith a dense and clumpy molecular cloud. This kind of space and time-resolved spectra can beused to model future Hitomi data to extract key information such as on the nature of thesupernova progenitor stars and the poorly known physics of space collisionless plasma.㻌䠉㻝㻟㻣䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
15᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
128ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ISAS Ᏹᐂ⛉Ꮫㄯヰ఍ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

90.12

30.24

䠉㻝㻟㻤䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻡㻤㻚㻌 ᭶╔㝣ೃ⿵ᆅⅬ䛾䝅䝭䝳䝺䞊䝅䝵䞁䛚䜘䜃ゎᯒ㻌
Simulation and analysis of candidates for the lunar landing site㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ᥈ᰝ࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ᫍ㔝 ೺(hoshino.takeshi@jaxa.jp)ᵓᡂဨ㸸Ᏹᐂ᥈ᰝ࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪኱ᕌஂᚿ(ootake.hisashi@jaxa.jp)ᰴᘧ఍♫ NTT ࢹ࣮ࢱ CCS㸪Ỉὶ᫭୍(ktsuru@nttdata-ccs.co.jp)Ᏹᐂ᥈ᰝ࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪ⱝᯘᖾᏊ(wakabayashi.sachiko@jaxa.jp)ᰴᘧ఍♫ࢫ࣮࣌ࢫࢧ࣮ࣅࢫ㸪ᒣᮏග⏕(yamamoto.mitsuo@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ࠿ࡄࡸ࠾ࡼࡧ LRO ࡢࢹ࣮ࢱࢆ⏝࠸ࡓ᭶╔㝣ೃ⿵ᆅⅬࡢࢩ࣑࣮ࣗࣞࢩࣙࣥ࠾ࡼࡧゎᯒ㸬㻌 ஦ᴗࡢ┠ᶆᕤᏛⓗ࣭⛉Ꮫⓗ࡟᭱኱㝈ࡢᡂᯝࢆᮇᚅ࡛ࡁࡿ᭶╔㝣ೃ⿵ᆅⅬࡢ⤠㎸ࡳ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
╔㝣ᆅⅬ㑅ᐃ࡜࡞ࡿᇶ♏ࢹ࣮ࢱࢆࢩ࣑࣮ࣗࣞࢩࣙࣥ࠾ࡼࡧゎᯒ࡟ࡼࡗ࡚ồࡵࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᑗ᮶ணᐃࡉࢀ࡚࠸ࡿィ⟬㈇Ⲵࡢቑ኱࡟ഛ࠼ࡓࢩ࣑࣮ࣗࣞࢩࣙࣥ࠾ࡼࡧゎᯒࢯࣇࢺ࢙࢘࢔ࡢ㉸୪ิ໬࡬ࡢᑐᛂ᳨ウ㸬䠉㻝㻟㻥䠉HPC@JAXA2015㻌㻌㻌

ᅗ1 ᭶໭ᴟᇦ᪥↷ࢩ࣑࣮ࣗࣞࢩࣙࣥ/ഴᩳ࣐ࢵࣉ
㸸lunar northern polar region illumination simulation/slope map㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸

1.34᫬㛫(MA)㸪0.61᫬㛫(PP)(せồࡉࢀࡿ᫬㛫⢏ᗘ㸪ࢩ࣑࣮ࣗࣞࢩࣙࣥᮇ㛫࡟ࡼࡾ
ቑຍ)
8ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 16 ࢥ࢔(MA)㸪6ࢥ࢔(PP)ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ࠕ᭶ᴟᇦ᥈ᰝ࣑ࢵࢩࣙࣥ㸸᭶฼⏝ྍ⬟ᛶࡢㄪᰝࠖ
㸪ᫍ㔝 ೺㸪ⱝᯘᖾᏊ㸪኱ᕌஂᚿ㸪ᶫᮏᶞ᫂㸪➨59ᅇᏱᐂ⛉Ꮫᢏ⾡㐃ྜㅮ₇఍㸪1D07㸪2015ࡑࡢ௚2) Japanese Polar Lander Study, Exploring and Using Lunar Polar Volatiles, The International Space
Exploration Coordination Group (ISECG)
http://lunarvolatiles.nasa.gov/wp-content/uploads/sites/6/2015/04/Japanese-Polar-Lander-Study.pdf

ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

221.46303.41䠉㻝㻠㻜䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻡㻥㻚㻌 ὶ䜜ሙ䛾᭱㐺ไᚚ䛻㛵䛩䜛◊✲㻌The study on an optimal control of flow field㻌 ஦ᴗᙧែ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ Ᏹᐂ㣕⩧ᕤᏛ◊✲⣔㸪ᑠᕝ༤அ(ogawa.hiroyuki@jaxa.jp)ᵓᡂဨ㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ ほ ࣟࢣࢵࢺᐇ㦂ࢢ࣮ࣝࣉ㸪ఀ⸨ 㝯(ito.takashi@jaxa.jp )ᮾி኱Ꮫ኱Ꮫ㝔 ⯟✵ᏱᐂᕤᏛᑓᨷ㸪୰ᮧᫀ㐨(masamichi.nakamura@ac.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ෌౑⏝ほ ࣟࢣࢵࢺࡢᖐ㑏㣕⾜ࢆᡂ❧ࡉࡏࡿࡓࡵࡢὶయຊᏛ࡟㛵ࡍࡿ◊✲㻌 ஦ᴗࡢ┠ᶆᖐ㑏㣕⾜ࢆ⾜࠺෌౑⏝ほ ࣟࢣࢵࢺ࿘ࡾࡢὶࢀሙࢆヲ⣽࡟◊✲ࡍࡿࡇ࡜࡛㸪Ᏻᐃࡋࡓᖐ㑏㣕⾜ࢆྍ⬟࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
෌౑⏝ほ ࣟࢣࢵࢺ࿘ࡾࡢὶࢀሙࡣ㠀ᖖ࡟㠀⥺ᙧᛶࡀᙉࡃ㸪ᐇ㦂࡛ࡢヲ⣽࡞ὶࢀሙࡢᢕᥱࡣ㞴ࡋ࠸㸬ࡑࡇ࡛ᩘ್ィ⟬ࢆ⏝࠸࡚ὶࢀሙࢆゎᯒࡍࡿࡇ࡜࡛㸪෌౑⏝ほ ࣟࢣࢵࢺࡢ✵ຊ≉ᛶࢆຠᯝⓗ࡟◊✲ࡍࡿࡇ࡜ࡀ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
෌౑⏝ほ ࣟࢣࢵࢺࡢ㌿ᅇ㐠ືࡢ㝿࡟Ⓨ⏕ࡍࡿᶓྥࡁࡢຊ࡟ࡼࡿ୙Ᏻᐃᛶࢆᢚไࡍࡿࡓࡵ㸪᭱㐺ไᚚ࡟ࡼࡗ࡚ὶࢀሙࢆไᚚࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡋ࡚㸪⡆༢໬ࡋࡓ෇ᰕ࿘ࡾ࡟Ⓨ⏕ࡍࡿᶓྥࡁࡢຊࢆ᭱㐺ไᚚ࡟ࡼࡾᢚไࡋࡓ㸬䠉㻝㻠㻝䠉

HPC@JAXA2015㻌㻌㻌
ᅗ 1 ෇ᰕ࡟Ⓨ⏕ࡍࡿ࣐࢝ࣝࣥ ࡟ࡼࡿᶓຊࡢ᫬㛫ኚ໬
㸸The time variation of the lateral force by Karman vortices࠙ィ⟬᝟ሗࠚ
24᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
24ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔࡞ࡋࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]125,196.78

SORA-PP

19,913.20

䠉㻝㻠㻞䠉SORA-LM

13,983.04

SORA-TPPHPC@JAXA2015㻌㻢㻜㻚㻌 㠀⥺ᙧ䝣䜷䞊䝇䝣䝸䞊☢ሙィ⟬䛻䜘䜛䛂䜂䛾䛷䛃ほ 䛛䜙䛾ኴ㝧䝁䝻䝘☢ሙ᥎ᐃ㻌
NLFFF calculation of the solar coronal magnetic field based on Hinode observations㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ ኴ㝧⣔⛉Ꮫ◊✲⣔㸪ΎỈᩄᩥ(shimizu.toshifumi@jaxa.jp)ᵓᡂဨ㸸ᮾி኱Ꮫ኱Ꮫ㝔 ⌮Ꮫ⣔◊✲⛉㸪ᕝ⏿భ඾(kawabata.yusuke@ac.jaxa.jp)ྡྂᒇ኱Ꮫ኱Ꮫ㝔 ⌮Ꮫ⣔◊✲⛉ Ᏹᐂ⛉Ꮫ◊✲ᡤ ≉ูඹྠ฼⏝◊✲㝔㸪୕ዲᘓṇ(takemasa.miyoshi@riken.jp)㻌 ஦ᴗࡢ┠ⓗኴ㝧኱Ẽ࡟࠾ࡅࡿ⇿Ⓨ⌧㇟࡛࠶ࡿኴ㝧ࣇࣞ࢔ࡀ࡝ࡢࡼ࠺࡞☢ሙᵓ㐀࡛࡝ࡢࡼ࠺࡞ᶵᵓ࡛Ⓨ⌧ࡍࡿ࠿ࢆ᥈ࡿ㸬ኴ㝧ほ ⾨ᫍࠕࡦࡢ࡛ࠖࡀྲྀᚓࡋ࡚࠸ࡿୡ⏺࡛᭱ࡶ㧗ゎീᗘ࡛㧗⢭ᗘ࡞࣋ࢡࢺࣝ☢ሙ࣐ࢵࣉࢆᰴቃ⏺
᮲௳࡜ࡋ࡚㸪ࣇ࢛࣮ࢫࣇ࣮ࣜࢆ௬ᐃࡋ࡚ࢥࣟࢼࡢ☢ሙᵓ㐀ࢆ᥎ᐃࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆኴ㝧ほ ⾨ᫍࠕࡦࡢ࡛࡛ࠖほ ࡉࢀࡓኴ㝧ࣇࣞ࢔ࡀⓎ⏕ࡋࡓ๓ᚋࡢኴ㝧⾲㠃☢ሙࢆ⏝࠸࡚ࣇ࢛࣮ࢫࣇ
࣮ࣜ☢ሙィ⟬ࢆ⾜࠸㸪ࣇࣞ࢔Ⓨ⏕࡟࠾ࡅࡿࢥࣟࢼ☢ሙ࠾ࡼࡧⓎ⌧ᶵᵓ࡟㛵ࡍࡿ᪂ࡓ࡞▱ぢࢆᚓࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ኴ㝧ほ ⾨ᫍࠕࡦࡢ࡛ࠖࡢ㧗✵㛫ศゎ⬟ࡢ☢ሙࢆ⏝࠸ࡓḟඖࡢ0+'ィ⟬࡟ࡼࡿࣇ࢛࣮ࢫࣇ࣮ࣜ☢ሙࣔࢹࣜࣥࢢ࡟ࡣࢫࣃࢥࣥࡢ኱つᶍィ⟬⎔ቃࡀ୙ྍḞ࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࣇ࢛࣮ࢫࣇ࣮ࣜ☢ሙࣔࢹࣜࣥࢢ࡟ࡼࡾ᥎ᐃࡉࢀࡓ☢ຊ⥺ࡢ㊊ඖࡀ⣸እ⥺ほ ࡛᫂ࡿࡃගࡿࣜ࣎ࣥᵓ㐀࡜㧗࠸⢭ᗘ୍࡛⮴ࡋ࡚࠸ࡿ୍᪉࡛㸪୍⮴ࡋ࡞࠸㡿ᇦࡶᏑᅾࡋ㸪ࣔࢹࣜࣥࢢࡢᨵၿࡢᚲせᛶࢆ♧၀ࡋࡓ㸬䠉㻝㻠㻟䠉

HPC@JAXA2015㻌㻌㻌

ᅗ 1 ⓑ㯮ࡢ⫼ᬒࡣࠕࡦࡢ࡛ࠖࡀほ ࡋࡓኴ㝧⾲㠃ࡢ☢ሙ㸬㯤㸪⥳ࡢᐇ⥺ࡣࣇ࢛࣮ࢫࣇ࣮ࣜ☢
ሙィ⟬࡟ࡼࡗ࡚᥎ᐃࡉࢀࡓ☢ຊ⥺㸬⥳㸪㉥ࡢࢥࣥࢱ࣮ࡣ⣸እ⥺ほ ࡟ࡼࡿ᫂ࡿ࠸ࣜ࣎ࣥ
ᵓ㐀㸬
㸸The magnetic field lines inferred with non-linear force-free field calculation (yellow
and green lines), which is overlaid on the magnetic field map at the solar surface
measured by Hinode. Red and green contours show the position of flare ribbons
measured in UV.
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
4㹼5᫬㛫
ࢣ࣮ࢫᩘ㸸
5ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
12ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᕝ⏿భ඾㸪஭ୖ ㅍ㸪ΎỈᩄᩥ㸪ࠕ࣍ࣔࣟ࢞ࢫࣇࣞ࢔ࡢ3ḟඖ☢ሙᵓ㐀ࡢ᫬⣔ิゎᯒࠖ㸪᪥ᮏኳᩥᏛ఍2015ᖺ⛅Ꮨᖺ఍㸪රᗜ㸪2015ᖺ9᭶2) Y. Kawabata, T. Shimizu, "Homologous flare occurred at the quadrupole field", Japan Geoscience
Union Meeting, Chiba, May-2015ࡑࡢ௚3) ᕝ⏿భ඾, ಟኈㄽᩥ͆Studies on homologous flares quadrupole magnetic field using force-free fieldmodeling͇, ᮾி኱Ꮫ኱Ꮫ㝔⌮Ꮫ⣔◊✲⛉ᆅ⌫ᝨᫍ⛉Ꮫᑓᨷ, 2016ᖺ2᭶ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

228.43䠉㻝㻠㻠䠉

SORA-LM

SORA-TPP

13,644.13

HPC@JAXA2015㻌㻢㻝㻚㻌 䝥䝻䝆䜵䜽䝖ㄢ㢟ᑐᛂゎᯒ㻌
Numerical Simulations for JAXA’s Development and Research Projects
㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ ࣭ ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ㻌 ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪᰿ᓊ⚽ୡ(negishi.hideyo@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪⸨ᮏᆂ୍㑻(fujimoto.keiichiro@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪኱㛛 ඃ(daimon.yu@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪㇂ ὒᾏ(tani.hiroumi@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪㞵ᕝὒ❶(amakawa.hiroaki@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᱵᮧ ᝆ(umemura.yutaka@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᯇᮏ୓᭷(matsumoto.mayu@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
JAXA ෆࡢ⌧⾜ࣉࣟࢪ࢙ࢡࢺࡸ௚㒊㛛ࡢ◊✲㛤Ⓨᴗົ࡟࠾࠸࡚Ⓨ⏕ࡋࡓᢏ⾡ㄢ㢟࡟ᑐࡋ㸪ᩘ್ࢩ࣑ࣗ
࣮ࣞࢩࣙࣥᢏ⾡ࢆά⏝ࡋ࡚ゎỴࡶࡋࡃࡣࡑࡢᨭ᥼ࢆࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ➨୕◊✲ࣘࢽࢵࢺࡢಖ᭷࠾ࡼࡧ㛤Ⓨᢏ⾡ࢆά⏝ࡋ࡚㸪⌧⾜ࣉࣟࢪ࢙ࢡࢺ࡟࠾ࡅࡿᢏ⾡ㄢ㢟ゎỴ࡟ᑐᛂࡋ㸪ྛㄢ㢟ᑐᛂ᱌௳࡟ࡘ࠸࡚ࣉࣟࢪ࢙ࢡࢺ࠿ࡽࡢ౫㢗࡟☜ᐇ࡟ᑐᛂࡍࡿ࡜࡜ࡶ࡟㸪ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙ
ࣥᢏ⾡࡞ࡽ࡛ࡣࡢ͆௜ຍ౯್(ຠ⋡໬㸪㧗ಙ㢗໬㸪㈝⏝ᑐຠᯝ㸪Ἴཬຠᯝ➼)͇ࢆᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࣉࣟࢪ࢙ࢡࢺㄢ㢟ᑐᛂࡣᐃࡵࡽࢀࡓᮇ㛫࡛☜ᐇ࡟ᡂᯝࢆฟࡍࡇ࡜ࡀᚲ㡲࡛࠶ࡾ㸪JSSࢆ฼⏝ࡍࡿࡇ࡜࡛኱つᶍィ⟬࡛࠶ࡗ࡚ࡶຠ⋡ⓗ࡟ゎᯒࢆᐇ⌧ࡍࡿࡇ࡜ࡀ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝx ISAS࠿ࡽࡢ౫㢗࡟ᇶ࡙ࡁ㸪ࢪ࢜ࢫ࣮࣌ࢫ᥈ᰝ⾨ᫍ(ERG)ࡢཷືࢽ࣮ࣗࢸ࣮ࢩࣙࣥࢲࣥࣃ(ND)タィࡢጇᙜᛶࢆ☜ㄆࡍࡿࡇ࡜ࢆ┠ⓗ࡟㸪ࣟࢣࢵࢺศ㞳┤ᚋࡢኴ㝧㟁ụ㺨㺽㺢㺼㺷ᒎ㛤㸩⾨ᫍࢫࣆ࣮ࣥࣞࢺపୗ᫬ࡢ
NDෆ࡟࠾ࡅࡿࢩࣜࢥࣥ࢜࢖ࣝࡢᾮయᣲືࢆホ౯ࡋࡓ㸬FY27ࡣ㸪FY26࡛ホ౯ࡋ࡞࠿ࡗࡓ᮲௳ࡢ㏣ຍホ౯࡜㸪CFDゎᯒ࡛ᚓࡽࢀࡓ▱ぢࢆタィゎᯒ࡟཯ᫎࡋᨵⰋ࡟㈉⊩ࡋࡓ㸬x ◊✲㛤Ⓨ㒊㛛➨ᅄ◊✲ࣘࢽࢵࢺࡀ㐍ࡵࡿ෌⏕෭༷LNG࢚ࣥࢪࣥࡢᇶ┙◊✲࡟㛵㐃ࡋ࡚㸪࣓ࢱࣥࢆ⇞ᩱ࡜ࡋࡓᐇࢫࢣ࣮ࣝ⇞↝ჾࢆᑐ㇟࡟෌⏕෭༷ゎᯒࢆᐇ᪋ࡋࡓ㸬࣓ࢱࣥᐇࢫࢣ࣮࢚ࣝࣥࢪࣥࡢ⇞↝-෭༷㐃ᡂゎᯒࢆጞࡵ࡚ᐇ⌧ࡋ㸪⌧㇟⌮ゎࢆ㐍ࡵࡿ࡜ඹ࡟㸪ゎᯒᢏ⾡ࡢㄢ㢟ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬䠉㻝㻠㻡䠉

HPC@JAXA2015x ◊✲㛤Ⓨ㒊㛛➨ᅄ◊✲ࣘࢽࢵࢺࡀ㐍ࡵࡿ㣕⾜Ᏻ඲㛵㐃ࡢ◊✲࡟㛵㐃ࡋ࡚㸪ࣟࢣࢵࢺᣦ௧◚ቯ᫬ࡢ⇿◚ῧຍ㏿ᗘࡢホ౯ࡢ㧗⢭ᗘ໬ࢆ┠ⓗ࡟㸪ᣦ௧◚ቯᚋࡢ᥎㐍⸆ࢱࣥࢡࡢ◚ቯ⣲㐣⛬ࡢᢕᥱࡢⅭࡢࡁ⿣ఙᒎ
◚ቯゎᯒࢆᐇ᪋ࡋࡓ㸬ෆᅽ㈇Ⲵ᫬ࡢᣦ௧◚ቯட⿣㐍ᒎࡢᵝ┦ࡀ㸪ࣜࣈ௜ᵓ㐀࡜➼౯ᯈཌᵓ㐀࡜࡛࣐ࢡࣟⓗ࡞ᣲື࡟᭷ពᕪࡀ࡞࠸ࡇ࡜ࢆぢฟࡋ㸪ヨ㦂ィ⏬ࡢ⟇ᐃᨭ᥼࡟㈉⊩ࡋࡓ㸬௚ከᩘᅗ 1 LNG ࢚ࣥࢪࣥ⇞↝-෭༷㐃ᡂゎᯒ㸸Coupled combustion gas side and coolant side simulation㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
40᪥㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
2110ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]1,293,790.29

SORA-PP

90,082.89

㻌
㻌

㻌

䠉㻝㻠㻢䠉

SORA-LM

SORA-TPP

110.91

HPC@JAXA2015㻌㻢㻞㻚㻌 䝻䜿䝑䝖㡢㡪⎔ቃண ᢏ⾡䛾◊✲㛤Ⓨ㻌
Research and Development of Predicting Launch Vehicle Acoustics㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ ࣭ ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ሐ ㄔྖ(tsutsumi.seiji@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ⰾ㈡⮧⣖(haga.takanori@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࣟࢣࢵࢺ㣕⾜᫬࡟᤼Ẽࢪ࢙ࢵࢺ࠿ࡽⓎ⏕ࡍࡿ✵ຊ㦁㡢㸪ཬࡧ㑄㡢㏿ࣇࣛ࢖ࢺ᫬ࡢ⾪ᧁἼ/஘ὶቃ⏺ᒙᖸ΅࡟㉳ᅉࡋࡓὶయ㦁㡢ࡢⓎ⏕ᶵᵓࢆゎᯒࡋ㸪㡢㡪ࣞ࣋ࣝࡢண ᢏ⾡ࢆ⋓ᚓࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
31.5-500Hz ࡢእ㒊㡢㡪⎔ቃࢆ⣙ 1 㐌㛫࡛ண ࡍࡿᢏ⾡ࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭ᩘ൨ⅬつᶍࡢLESゎᯒࢆᐇ᪋ࡍࡿᚲせࡀ࠶ࡾ㸪┠ᶆ࡜ࡍࡿ࿘Ἴᩘゎീᗘࢆ㐩ᡂࡍࡿࡓࡵ࡟ࡣࢫࣃࢥࣥ
つᶍࡢィ⟬ࣜࢯ࣮ࢫࡀᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ࣜࣇࢺ࢜ࣇ᫬㡢㡪࡟㛵ࡋ࡚ࡣ㸪 ML࣭ࢹ࢕ࣇࣞࢡࢱ࣭↮㐨ࢆྵࡴ」㞧ᙧ≧࡟ᑐࡋ࡚ホ౯ࡀྍ⬟࡞㧗ḟ⢭ᗘゎᯒᡭἲࢆ㐺⏝᳨࣭ドࢆᐇ᪋ࡋࡓ㸬ࡲࡓ㸪࢖ࣉࢩࣟࣥヨ㦂ᶵ1ྕᶵࡢࣇࣛ࢖ࢺࢹ࣮ࢱࢆ฼⏝ࡋ㸪31.5
㹼1100Hzࡢ࿘Ἴᩘゎീᗘ࡛3.0dB(1/1࢜ࢡࢱ࣮ࣈࣂࣥࢻ)ࡢண ⢭ᗘࢆᚓࡿࡇ࡜ࡀ࡛ࡁࡓ㸬x ࢥ࣮ࣥ/ࢩࣜࣥࢲᆺࣇ࢙࢔ࣜࣥࢢ࡟࠾࠸࡚㸪᱁Ꮚゎീᗘ࡟ᑐࡍࡿImproved Delayed Detached Eddy
Simulation(IDDES)ࢆ฼⏝ࡋࡓWall-modeled LESࡢᙳ㡪ࢆホ౯ࡋࡓ㸬⫪㒊⭾ᙇᡪࢆ㏻㐣ࡋࡓຍ㏿ᒙὶ໬㡿ᇦ࡟࠾ࡅࡿᒙὶ໬Ѝ㑄⛣Ѝ⾪ᧁἼ/஘ὶቃ⏺ᒙᖸ΅ࡀⓎ⏕ࡋ࡚࠸ࡿࡇ࡜ࡀศ࠿ࡾ㸪IDDESࣔࢹࣝࡢ㐺⏝㝈⏺ࢆ᫂☜࡟ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬䠉㻝㻠㻣䠉

HPC@JAXA2015
㻌

㻌

㻌
ᅗ1

࢖ࣉࢩࣟࣥヨ㦂ᶵ1ྕᶵᡴୖࡆ᫬ࡢ㡢㡪ゎᯒ㸬(ὶయሙ㸸࣐ࢵࣁᩘ㸪㡢㡪ሙ㸸ᅽຊኚື)㸸CFD/CAA results for Epsilon launch vehicle at lift-off.
(Hydrodynamic field: Mach number, Acoustic field: pressure fluctuation)㻌࠙ィ⟬᝟ሗࠚ
㡯┠ࣜࣇࢺ࢜ࣇ㡢㡪 &)'&$$ 1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
᪥ &$$ ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸400ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) Seiji Tsutsumi, Ryoji Takaki, Shunsuke Koike, Susumu Teramoto, “Application of Hybrid
Turbulence Method to Transonic Flowfield of a Payload Fairing,” AIAA Paper 2016-0544, 2016.
ࡑࡢ௚2) ሐ ㄔྖ㸪㧗ᮌு἞㸪ᑎᮏ 㐍㸪͆LES/RANSࣁ࢖ࣈࣜࢵࢻἲ࡟ࡼࡿࣟࢣࢵࢺࣇ࢙࢔ࣜࣥࢢ㑄㡢㏿ὶࢀゎᯒࡢ⌧≧㸪͇ ࢩ࣑࣮ࣗࣞࢩࣙࣥ㸪Vol.34 No.3, 2015ᖺ9᭶.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,930,283.17

SORA-PP

21,169.03

㻌

䠉㻝㻠㻤䠉

SORA-LM

23,414.68

SORA-TPP

2,646.85

HPC@JAXA2015㻌㻢㻟㻚㻌 䝻䜿䝑䝖㧗࿘Ἴ⇞↝᣺ື䛻㛵䛩䜛◊✲㻌Research on high-frequency combustion instability in rocket engines㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛➨ᅄ◊✲ࣘࢽࢵࢺ㸪ྜྷ⏣ㄔ(yoshida.makoto@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㧗ᶫᨻᾈ(takahashi.masahiro@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗྠ㍈ᄇᑕჾࢆ⏝࠸ࡿᾮ㓟ᾮỈࣟࢣࢵࢺ⇞↝ჾࡢᮏ㉁ⓗ᣺ື⇞↝ࡢࣔࢹࣝ໬ࡢ㐩ᡂ㸬㻌 ஦ᴗࡢ┠ᶆྠ㍈ᄇᑕჾࢆ⏝࠸ࡿᾮ㓟ᾮỈࣟࢣࢵࢺ⇞↝ჾࡢᮏ㉁ⓗ᣺ື⇞↝࡟ࡘ࠸࡚CFDࢆ⏝࠸ࡓ᣺ືุᐃᡭἲࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
CFD࡟ࡼࡾ㸪ᄇᑕჾ࢚࣓ࣞࣥࢺ༢యヨ㦂࡞࡝࡛┤᥋ほᐹ࡛ࡁ࡞࠸ᄇᑕᏍ௜㏆࠾ࡼࡧࣜࢭࢫෆࡢὶࢀሙࡢヲ⣽⌮ゎࢆᅗࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᐇᅾὶయࡢ≧ែ᪉⛬ᘧࡸ⇕ຊᏛ≉ᛶ್ࣔࢹࣝࢆ⤌ࡳ㎸ࢇࡔ㍈ᑐ⛠ CFD ࢥ࣮ࢻࡢᩚഛࢆ㐍ࡵ㸪⇞↝ὶゎᯒ⤖ᯝࢆྲྀᚓࡋࡓ㸬⤖ᯝࡢ᳨ド࡜ࢥ࣮ࢻࡢᨵⰋࢆ⥅⥆ࡋ࡚࠸ࡿ㸬

㻌

㻌

㻌

ᅗ1 LOX/H2࢚࣓ࣞࣥࢺ༢యヨ㦂ࡢ⇞↝ゎᯒ౛㸪ୖẁ㸸 ᗘ㸪ୗẁ㸸H2Oࣔࣝศ⋡㸸Combusting CFD for LOX/H2 single element test case,
Top: Temperature, Bottom: H2O mole fraction㻌䠉㻝㻠㻥䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
100᫬㛫
ࢣ࣮ࢫᩘ㸸
2ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 32ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP㸪⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

6,554.14

393.80㻌䠉㻝㻡㻜䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻢㻠㻚㻌 䝻䜿䝑䝖෌✺ධ䝕䞊䝍ྲྀᚓ◊✲㻌Acquisition of rocket reentry data㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪▼ᮏ┿஧(ishimoto.shinji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㟷ᮌⰋᑦ(aoki.yoshihisa@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㧗㛫Ⰻᶞ(takama.yoshiki@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࣟࢣࢵࢺࡢ⁐⼥ゎᯒ࡟ಀࡿࢹ࣮ࢱࡢྲྀᚓ㸬෌✺ධᶵཬࡧᑗ᮶㍺㏦⣔࡟ಀࡿᢏ⾡ࡢ⵳✚㸬㻌 ஦ᴗࡢ┠ᶆ࢝ࣉࢭࣝࢆタィࡋ㸪ࣟࢣࢵࢺ࠿ࡽ෌✺ධࡉࡏ࡚㣕⾜ࢹ࣮ࢱࢆᚓࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
✵ຊಀᩘࢆィ⟬ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
CFD ࡛࢝ࣉࢭࣝࡢ✵ຊ≉ᛶࢆ᥎⟬ࡋࡓ㸬

㻌

㻌

㻌

ᅗ 1 ෌✺ධ࢝ࣉࢭࣝࡢ CFD ⤖ᯝ㸦M=0.6, AOA=40deg㸪ᑐ⛠㠃ࡢ Cp ศᕸ㸧㸸Cp distribution of reentry capsule (M=0.6, AOA=40deg)䠉㻝㻡㻝䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
22᫬㛫
ࢣ࣮ࢫᩘ㸸
6ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
10ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) 㟷ᮌⰋᑦ㸪༡ ྜྷ⣖㸪㧗㛫Ⰻᶞ㸪▼ᮏ┿஧㸪ࣟࢣࢵࢺ෌✺ධࢹ࣮ࢱྲྀᚓࢩࢫࢸ࣒ࡢ✵ຊタィ᳨ドヨ㦂࡟ࡘ࠸࡚㸪➨91ᅇ㢼Ὕ◊✲఍㆟㸬ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]158,893.23

SORA-PP

19,845.25

䠉㻝㻡㻞䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻢㻡㻚㻌 䝻䜿䝑䝖䞊䝷䝮」ྜ䝃䜲䜽䝹䜶䞁䝆䞁䛻䛚䛡䜛ᛶ⬟ྥୖ䛾䛯䜑䛾㻌䜶䝆䜵䜽䝍䞉䝰䞊䝗䛾ᩘ್ィ⟬㻌
Numerical Simulation of Ejector-jet Mode for obtaining higher performancein Rocket-Ram Combined Cycle Engine㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪㛗㇂ᕝ㐍(hasegawa.susumu@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᆅ⌫࠿ࡽ㌶㐨ࡲ࡛ࡢ෌౑⏝ᆺᏱᐂ 㑏ᶵࡢ࣌࢖࣮ࣟࢻࢆቑຍࡋ࡚ಙ㢗ᛶࢆྥୖࡉࡏࡿࡓࡵ࡟㸪⌧ᅾ㸪ୡ⏺୰ࡢྛᅜ࡛ࡣᵝࠎ࡞◊✲㛤Ⓨࡀ⾜ࢃࢀ࡚࠸ࡿ㸬෌౑⏝ᆺᏱᐂ 㑏ᶵᐇ⌧ࡢ㘽࡜࡞ࡿᢏ⾡ࡢ୍ࡘ࡛࠶
ࡿ㸪పࢥࢫࢺ࡛ಙ㢗ᛶࡢ࠶ࡿ」ྜࢧ࢖ࢡ࢚ࣝࣥࢪࣥࡢ㛤Ⓨࢆ⾜࠺㸬㻌 ஦ᴗࡢ┠ᶆ෌౑⏝ᆺᏱᐂ 㑏ᶵᐇ⌧ࡢࡓࡵ࡟㸪」ྜࢧ࢖ࢡ࢚ࣝࣥࢪࣥࡢ◊✲㛤Ⓨࢆ⾜࠺㸬」ྜࢧ࢖ࢡ࢚ࣝࣥࢪࣥ
ࡣ㸪୍ࡘࡢ࢚ࣥࢪ࡛࢚ࣥࢪ࢙ࢡࢱ࣭࣮ࣔࢻ㸪࣒ࣛࢪ࢙ࢵࢺ࣭࣮ࣔࢻ㸪ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࣭࣮ࣔࢻ㸪ࣟࢣࢵࢺ࣭࣮ࣔࢻ࡜సື࣮ࣔࢻࢆኚ࠼ࡿࡇ࡜࡟ࡼࡗ࡚㸪㞳㝣࠿ࡽᏱᐂ✵㛫฿㐩ࡲ࡛ࡢᗈ࠸సື㡿ᇦࢆ࢝ࣂ࣮
ࡍࡿࡶࡢ࡛࠶ࡿ㸬㞳㝣࠿ࡽ࣒ࣛࢪ࢙ࢵࢺ࣭࣮ࣔࢻ࡬ࡢ⛣⾜ࢆᢸ࠺ࡢࡣ࢚ࢪ࢙ࢡࢱ࣭࣮ࣔࢻ࡛࠶ࡾ㸪ࡑࡢタィᡭἲࡢ☜❧ࢆࡍࡿࡇ࡜ࡀ┠ⓗ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
࢚ࣥࢪࣥࡢタィᡭἲࢆࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ☜❧ࡍࡿࡇ࡜࡛࠶ࡿ㸬ᐇ㦂࡛ࡣ㞴ࡋ࠸࢚ࣥࢪࣥෆ㒊ࡢὶࢀࡢᤸᥱࢆ⾜࠺㸬ࡲࡓ㸪ࣃ࣓ࣛࢺࣜࢵࢡ࡞ᙧ≧ኚ᭦࡟ࡼࡾ㸪ᵝࠎ࡞ᙧែ࡛ࡢᛶ⬟ゎᯒࢆ⾜࠺ࡇ࡜ࡀ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࣟࢣࢵࢺᙧ≧ࡀ࢚ࢪ࢙ࢡࢱᛶ⬟࡟୚࠼ࡿᛶ⬟ࢆᩘ್ⓗ࡟ㄪ࡭㸪ὶࢀሙࡢ≉ᚩࢆ᫂ࡽ࠿࡟ࡋࡓ㸬ࡲࡓ㸪࢚ࣥࢪࣥᛶ⬟࡟ࡘ࠸࡚ࡶィ⟬ࢆ⾜ࡗࡓ㸬䠉㻝㻡㻟䠉

HPC@JAXA2015㻌㻌㻌
ᅗ 1 ࢚ࢪ࢙ࢡࢱෆࡢ࣐ࢵࣁᩘศᕸ (a)ึᮇᙧ≧ (b)ᨵⰋᙧ≧㸸Mach Number Distribution (a)Initial (b)Improved㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5᫬㛫
ࢣ࣮ࢫᩘ㸸
40ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
2ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 60ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ1) 」ྜ࢚ࣥࢪࣥࡢ࢚ࢪ࢙ࢡࢱᛶ⬟ࡢྥୖࢆࡵࡊࡋࡓᙧ≧ᨵၿࡢ᳨ウ➨59ᅇ Ᏹᐂ⛉Ꮫᢏ⾡㐃ྜㅮ₇఍2) Numerical analysis for higher ejector-jet performance in the RBCC engine combustor model,
AIAA Scitech 20163) 」ྜ࢚ࣥࢪࣥᛶ⬟ྥୖࢆ┠ᣦࡋࡓ㉸㡢㏿࢚ࢪ࢙ࢡࢱࡢ◊✲ᖹᡂ27ᖺᗘ⾪ᧁἼࢩ࣏ࣥࢪ࣒࢘

ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

462,210.28

㻌
㻌
㻌

㻌

䠉㻝㻡㻠䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻢㻢㻚 䝻䜿䝑䝖䞉Ᏹᐂᶵ䛾᥎㐍⸆⟶⌮䛻ಀ䜛ᩘ್ゎᯒ㻌
Numerical Simulations of Propellant Management for Rockets and Spacecrafts㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ ࣭ ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪᰿ᓊ⚽ୡ(negishi.hideyo@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪⸨ᮏᆂ୍㑻(fujimoto.keiichiro@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᱵᮧ ᝆ(umemura.yutaka@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࣟࢣࢵࢺ࣭Ᏹᐂᶵࡢタィ㛤Ⓨ࡟࠾࠸࡚㸪ᡴࡕୖࡆ㸪㛗⛊᫬ࢥ࣮ࢫࢺ࠾ࡼࡧ࢚ࣥࢪࣥከᩘᅇ╔ⅆ➼࡟ಀࡿ᥎㐍⣔ࡢᛶ⬟ᮍ฿㐩ࡸ୙ලྜ➼ࡢࣜࢫࢡపῶࢆᐇ⌧ࡍࡿࡓࡵ࡟㸪᥎㐍⣔ࢩࢫࢸ࣒࡟ಀࡿ᥎㐍⸆ࡢ⇕ὶయᣲືࢆᐃ㔞ⓗ࡟ண ྍ⬟࡞ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆࣟࢣࢵࢺ࠾ࡼࡧᏱᐂᶵࡢ᥎㐍⣔࡟ಀࡿ᥎㐍⸆⇕ὶయᣲືࢆ㐺ษ࡟෌⌧ྍ⬟࡞ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ
⾡ࢆᵓ⠏ࡋ㸪ᡴୖࡆ㸪㛗⛊᫬ࢥ࣮ࢫࢺ࠾ࡼࡧ࢚ࣥࢪࣥከᩘᅇ╔ⅆ᫬➼࡟࠾ࡅࡿ᥎㐍⣔≉ᛶࢆ FY24 ᖺᗘẚ࡛ 1 ࣮࢜ࢲ࣮㧗࠸ ᗘண ࢆᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࣟࢣࢵࢺࡸᏱᐂᶵࡢ᥎㐍⣔ࢆゎᯒᑐ㇟࡜ࡍࡿሙྜ㸪᥎㐍⸆ࢱࣥࢡࡸ㓄⟶⣔㸪࢚ࣥࢪࣥࡢࢱ࣮࣏࣎ࣥࣉ
➼ࡢࢥ࣏࣮ࣥࢿࣥࢺ࡟ຍ࠼㸪ࣟࢣࢵࢺ࣭Ᏹᐂᶵࡢᶵయᵓ㐀ࡑࡢࡶࡢࡢ⇕ゎᯒࡶᚲせ࡜࡞ࡿ㸬ࡇࡢሙྜ㸪ࣟࢣࢵࢺ࣭Ᏹᐂᶵࡢᐇᶵ඲యࢆ࡯ࡰࣔࢹࣝ໬ࡋࡓὶయ-⇕㐃ᡂゎᯒࢆᐇ᪋ࡍࡿᚲせࡀ࠶ࡾ㸪ࢫࣃࢥࣥࢆ⏝࠸ࡓ኱つᶍィ⟬ࡀᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ࢱ࣮࣏࣎ࣥࣉண෭ࡢᐃ㔞ண ࢆ┠ⓗ࡜ࡋ࡚㸪ᴟప ὶయ࡟ࡼࡿ㓄⟶෭༷㐣⛬ࡢ᳨ドゎᯒࢆᐇ᪋㸬ᐃ㔞ⓗண ࡀྍ⬟࡛࠶ࡿࡇ࡜ࢆ♧ࡋࡓ㸬x ᇶᖿࣟࢣࢵࢺHII-AࡢᾮయỈ⣲ࢱࣥࢡෆ ᗘண ⢭ᗘྥୖࢆ┠ⓗ࡜ࡋࢱࣥࢡࡢ⇕ᵓ㐀ࣔࢹࣝࢆᨵⰋࡍ
ࡿࡇ࡜࡛㸪ࢱࣥࢡቨ࡜ᾮయỈ⣲ࡢ཮᪉ྥ㐃ᡂゎᯒࢆᐇ⌧ࡋࡓ㸬ࣇࣛ࢖ࢺࢹ࣮ࢱࡢࢱࣥࢡቨ ᗘࢆ෌⌧ࡍࡿࡇ࡜࡟ᡂຌࡋࡓ㸬䠉㻝㻡㻡䠉

HPC@JAXA2015㻌㻌㻌
ᅗ 1 ᴟప ὶయ࡟ࡼࡿ㓄⟶෭༷㐣⛬᳨ド㸸Validation result of chill-down process in cryogenic pipeline㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
334᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
12ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) Umemura et al., "Numerical Modeling of Boiling Flow in a Cryogenic Propulsion System" 51st
AIAA/SAE/ASEE Joint Propulsion Conference, Orlando, FL, July 27-29, 2015.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

522,583.57

149,475.49

䠉㻝㻡㻢䠉SORA-LM

2,386.73

SORA-TPP

5,394.22

HPC@JAXA2015㻌㻢㻣㻚㻌 ᝨᫍ኱Ẽ䛾ᑐὶᵓ㐀䛻㛵䛩䜛ᩘ್ⓗ◊✲㻌
Numerical study of the convection structure in planetary atmospheres㻌 ஦ᴗᙧែ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ PLANET-C㸪ᮡᒣ⪔୍ᮁ(sugiyama@gfd-dennou.org)ᵓᡂဨ㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ PLANET-C㸪Ᏻ⸨⣫ᇶ(hando@ac.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᝨᫍࡢᑐὶᵓ㐀ࢆㄪ࡭ࡿⅭࡢỗ⏝ⓗ࡞ᩘ್ὶయࣔࢹࣝ (㞼ゎീࣔࢹࣝ) ࡢ㛤Ⓨ࡜㸪ࡑࡢ㔠ᫍ኱Ẽ࡬ࡢ㐺⏝ࢆ㐍ࡵࡿࡇ࡜࡛㸪㔠ᫍ᥈ᰝᶵ࠶࠿ࡘࡁࡢほ ࢆᨭ᥼ࡍࡿࡓࡵࡢᩘ್ࣔࢹࣝᇶ┙ࢆᩚഛࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㞼ゎീࣔࢹࣝࢆ⏝࠸ࡓᩘ್ᐇ㦂ࡢ⤖ᯝ࡜㔠ᫍ᥈ᰝᶵ࠶࠿ࡘࡁࡢほ ⤖ᯝࢆẚ㍑᳨ウࡍࡿࡇ࡜࡛㸪㔠ᫍࡢᑐὶ⌧㇟࡟ᑐࡍࡿ⌮ゎࡢ῝໬࡟㈨ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ㞼ゎീࣔࢹࣝࢆᩚഛࡋࡘࡘࡑࢀࢆ⏝࠸ࡓᩘ್ᐇ㦂ࢆ⾜࠺ࡇ࡜࡛㸪㔠ᫍ኱Ẽࡢᑐὶᵓ㐀ࡢ 3 ḟඖⓗ࡞≉ᚩࢆ㆟ㄽࡋ㸪ࡉࡽ࡟ᑐὶ㉳※ࡢ㔜ຊἼࡀ㔠ᫍ኱Ẽࡢ㐠ື࡟ཬࡰࡍᙳ㡪࡟ࡘ࠸࡚⪃ᐹࡍࡿ㸬ᮏ஦ᴗࡢ኱ࡁ
࡞≉ᚩࡣ㸪㔠ᫍ㞼ᒙ୰ࡢᑐὶ㐠ື࡜ࡑࢀ࡟ࡼࡗ࡚⏕ᡂࡉࢀࡿ㔜ຊἼࢆ 1 ࡘࡢᩘ್ࣔࢹࣝࡢᯟ⤌ࡢ୰࡛ྠ᫬࡟ᢅ࠺ࡇ࡜࡛࠶ࡿ㸬ᚑ᮶ࡢᑐὶᵓ㐀ࢆㄪ࡭ࡿᩘ್ⓗ◊✲࡟࠾࠸࡚ࡣ㸪ィ⟬㈨※ࡢ⠇⣙ࡢࡓࡵ࡟, ィ⟬㡿ᇦࡀ㖄┤Ỉᖹ 2 ḟඖ࡟㝈ᐃࡉࢀ࡚࠸ࡓ (౛࠼ࡤ Baker et al., 1998, 2000; Imamura et al., 2014). ࡲࡓ㸪 ᚑ᮶ࡢ㔜ຊἼ◊✲࡟࠾࠸࡚ࡣ, ᆅ⌫ࡢ㔜ຊἼほ ࡟ᇶ࡙࠸ࡓ⤒㦂ⓗ࡞ࢫ࣌ࢡࢺࣝࡀࣔࢹࣝ࡟⤌ࡳ㎸ࡲࢀ࡚࠾ࡾ㸪㔜ຊἼࡢບ㉳࠿ࡽఏ᧛࡟⮳ࡿࡲ࡛ࡢ඲࡚ࢆ㝧࡟ゎ࠸࡚࠸ࡿࢃࡅ࡛ࡣ࡞࠸ (౛࠼ࡤ㸪Bougher
et al., 2006; Hoshino et al., 2013) 㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᑐὶࢆ⾲⌧ࡍࡿ࡟༑ศ࡞ゎീᗘ࡜ቃ⏺ࡢᙳ㡪ࢆཷࡅ࡞࠸ࡓࡵࡢᗈ࠸㡿ᇦࢆ☜ಖࡋ࡚⾜࠺ࡓࡵ࡟ࡣ㸪ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
᫖ᖺ࡞ࡽࡢ⥅⥆࡜ࡋ࡚㸪㖄┤᪉ྥ࡟ᗈ࠸ィ⟬㡿ᇦ (㧗ᗘ 35ࠥ130 km) ࢆ☜ಖࡋࡓỈᖹ㖄┤ 2 ḟඖࡢᑐὶィ⟬ࢆ⾜࠸㸪ᑐὶ㉳※ࡢ㔜ຊἼࡢᛶ㉁ࢆㄪ࡭ࡓ㸬ࡑࡢ⤖ᯝ㸪ศᩓ㛵ಀࢆ‶ࡓࡍࡼ࠺࡞㔜ຊἼࡀṇࡋࡃ෌⌧࡛ࡁ㸪ࡉࡽ࡟㔜ຊἼࡀ○ἼࡍࡿᵝᏊࢆࡶᤊ࠼ࡿࡇ࡜ࡀ࡛ࡁࡓ㸬ḟ࡟㸪3 ḟඖⓗᵓ㐀ࢆㄪ࡭ࡿࡓࡵ
ࡢ➨୍Ṍ࡜ࡋ࡚㸪ᚑ᮶ࡢᑐὶᒙ (㧗ᗘ 40ࠥ60 km) ࡟╔┠ࡋࡓᩘ್ⓗ◊✲ (Baker et al., 1998;
Imamura et al. 㸪2014) ࡜ྠᵝࡢタᐃࢆ⏝࠸ࡓᑐὶ㐠ືࡢ 3 ḟඖィ⟬ࢆ⾜ࡗࡓ㸬ᅗ 1 ࡣ Imamura etal㸬(2014) ࡢタᐃ࡛ᚓࡽࢀࡓ㖄┤㏿ᗘࡢỈᖹ᩿㠃࡛࠶ࡿ㸬ᚓࡽࢀࡓୖ᪼ὶ࡜ୗ㝆ὶࡢ኱ࡁࡉࡣྠ⛬ᗘࡢ
2 m/s ⛬ᗘ࡛࠶ࡾ㸪࣋࢞ࣂ࣮ࣝࣥ࡟ࡼࡗ࡚ほ ࡉࢀࡓ㖄┤ὶ㏿࡜ྠ⛬ᗘ࡛࠶ࡗࡓ㸬ᡃࠎࡢ⤖ᯝࡣᚑ᮶ࡢ 2ḟඖィ⟬࡛ᚓࡽࢀࡓᑐὶᵓ㐀ࡢᐃᛶⓗ≉ᚩࢆ෌⌧ࡍࡿࡶࡢ࡛࠶ࡿࡇ࡜ࡶ☜࠿ࡵࡽࢀࡓࡓࡵ㸪௒ᚋࡣ㖄┤᪉ྥ࡟ࡼࡾᗈ࠸ィ⟬㡿ᇦࢆ☜ಖࡋࡓ 3 ḟඖࡢᑐὶィ⟬ࢆᐇ⾜ࡍࡿࡇ࡜࡛㸪ᑐὶ㉳※ࡢ㔜ຊἼࡢᛶ㉁ࢆㄪ
࡭ࡿணᐃ࡛࠶ࡿ㸬䠉㻝㻡㻣䠉

HPC@JAXA2015
㻌㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
㻌
ᅗ1 㧗ᗘ 52 km ࡟࠾ࡅࡿ㖄┤㏿ᗘࡢỈᖹ᩿㠃ᅗ㸸Horizontal cross-section of the vertical velocity at 52 km altitude.
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
350᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
512ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᮡᒣ⪔୍ᮁ㸪ᕝ⏿ᣅஓ㸪ᑠ㧗ṇႹ㸪▼Ώṇᶞ㸪୰ᓥ೺௓㸪௒ᮧ ๛㸪ᯘ ⚈௓㸪㔠ᫍ㞼ᒙࢆ᝿ᐃࡋࡓ㖄┤ᑐὶࡢ3ḟඖᩘ್ィ⟬㸪᪥ᮏẼ㇟Ꮫ఍ 2015 ᖺ⛅Ꮨ኱఍㸪2015/11㸬ࡑࡢ௚2) ᮡᒣ⪔୍ᮁ㸪ᕝ⏿ᣅஓ㸪ᑠ㧗ṇႹ㸪▼Ώṇᶞ㸪୰ᓥ೺௓㸪௒ᮧ ๛㸪ᯘ ⚈௓㸪㔠ᫍ㞼ᒙࢆ᝿ᐃࡋࡓ㖄┤ᑐὶࡢ3ḟඖᩘ್ィ⟬㸪ᆅ⌫㟁☢Ẽ࣭ᆅ⌫ᝨᫍᅪᏛ఍ 2015 ᖺ⛅Ꮨ኱఍, 2015/11 (࣏ࢫࢱ࣮Ⓨ⾲) 㸬3) Ᏻ⸨⣫ᇶ㸪ᮡᒣ⪔୍ᮁ㸪ᑠ㧗ṇႹ㸪୰ᓥ೺௓㸪௒ᮧ ๛㸪ᯘ ⚈௓㸪㔠ᫍ㔜ຊἼࡢ2ḟඖᩘ್ᐇ㦂㸪ᆅ⌫㟁☢Ẽ࣭ᆅ⌫ᝨᫍᅪᏛ఍ 2015 ᖺ⛅Ꮨ኱఍㸪015/11 (࣏ࢫࢱ࣮Ⓨ⾲) 㸬4) ᮡᒣ⪔୍ᮁ㸪ᑠ㧗ṇႹ㸪୰ᓥ೺௓㸪௒ᮧ ๛㸪ᯘ ⚈௓㸪㔠ᫍ㞼ᒙࢆ᝿ᐃࡋࡓ㖄┤ᑐὶࡢ3ḟඖᩘ್ィ⟬㸪᪥ᮏᝨᫍ⛉Ꮫ఍ 2015 ᖺ⛅Ꮨㅮ₇఍㸪2015/10 (࣏ࢫࢱ࣮Ⓨ⾲) 㸬ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]772,652.60

SORA-PP

1,330.60

䠉㻝㻡㻤䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻢㻤㻚㻌㻳㻼㻹 ඲⌫㝆Ỉ䝬䝑䝥䛾䝕䞊䝍ྠ໬ᡭἲ䛾◊✲㻌
Research for data assimilation of satellite global rainfall map㻌 ஦ᴗᙧែ
ඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪୰ᓥᫎ⮳(nakajima.teruyuki@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ᆅ⌫ほ ◊✲ࢭࣥࢱ࣮㸪ஂಖ⏣ᣅᚿ(kubota.takuji@jaxa.jp)⌮໬Ꮫ◊✲ᡤ ィ⟬⛉Ꮫ◊✲ᶵᵓ㸪୕ዲᘓṇ(takemasa.miyoshi@riken.jp)⌮໬Ꮫ◊✲ᡤ ィ⟬⛉Ꮫ◊✲ᶵᵓ㸪ᑠᵳᓧྖ(shunji.kotsuki@riken.jp)⌮໬Ꮫ◊✲ᡤ ィ⟬⛉Ꮫ◊✲ᶵᵓ㸪ᑎᓮᗣඣ(koji.terasaki@riken.jp)⌮໬Ꮫ◊✲ᡤ ィ⟬⛉Ꮫ◊✲ᶵᵓ㸪ඵ௦ ᑦ(h.yashiro@riken.jp)㻌 ஦ᴗࡢ┠ⓗ
GPM ⾨ᫍ࡟ࡼࡿ㝆Ỉほ ࢹ࣮ࢱࡸࡑࡢ௚ࡢ⾨ᫍほ ࢹ࣮ࢱࢆ᭱ඛ➃ࡢ࢔ࣥࢧࣥࣈࣝࢹ࣮ࢱྠ໬ᡭἲ
࡟ࡼࡾ᭷ຠά⏝ࡋ㸪኱Ẽᐈほゎᯒཬࡧࡇࢀࢆึᮇ್࡜ࡋࡓணሗ࡟ᨵၿࢆࡶࡓࡽࡍࡇ࡜ࢆ┠ᣦࡍ㸬㻌 ஦ᴗࡢ┠ᶆ඲⌫㠀㟼ຊᏛ኱Ẽࣔࢹࣝ NICAM ࡟ᒁᡤ࢔ࣥࢧࣥࣈࣝኚ᥮࣐࢝ࣝࣥࣇ࢕ࣝࢱ LETKF ࢆ㐺⏝ࡋࡓ
NICAM-LETKF ࢩࢫࢸ࣒ࢆ㛤Ⓨࡋ㸪GPM ⾨ᫍࢆྵࡴ」ᩘࡢᆅ⌫ほ ⾨ᫍ࠿ࡽほ ࡉࢀࡓ⤫ྜ㝆Ỉࣉࣟ
ࢲࢡࢺ GSMaP ࢹ࣮ࢱࡸ㸪⾨࣐ᫍ࢖ࢡࣟἼᨺᑕィ AMSU-A ࡢ㍤ᗘ ᗘࢹ࣮ࢱࢆྠ໬ࡍࡿࡇ࡜࡛㸪ᩘ್ኳẼணሗࢆᨵၿࡍࡿᡭἲࢆ㛤Ⓨࡍࡿ㸬ࡲࡓ㸪ᐇ⏝໬࡟ྥࡅ࡚㔜せ࡜࡞ࡿ㛗ᮇ㛫Ᏻᐃືసࡢࡓࡵࡢࢩࢫࢸ
࣒㛤Ⓨࢆ⾜࠺㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
NICAM-LETKFࢩࢫࢸ࣒࡟ࡼࡿ⾨ᫍほ ࢹ࣮ࢱྠ໬ཬࡧண ィ⟬ࢆ⾜࠺㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᮏ◊✲ࡢ࣮࣋ࢫࢩࢫࢸ࣒࡜࡞ࡿNICAM-LETKFࢩࢫࢸ࣒ࡣ㸪ࡇࢀࡲ࡛ࠕிࠖࢆ౑ࡗ࡚㛤Ⓨࡋ࡚ࡁࡓ㸬௒ᖺᗘୗᮇࡢ஦ᴗ㛤ጞ࡜ྠ᫬࡟NICAM-LETKFࢩࢫࢸ࣒ࡢFX100࡬ࡢ⛣᳜సᴗ࡟ྲྀࡾ⤌ࡳ㸪⛣᳜ࢆ᏶஢ࡋࡓ㸬ࡇࡢNICAM-LETKFࢩࢫࢸ࣒ࢆ౑࠸㸪」ᩘࡢࢹ࣮ࢱྠ໬ᐇ㦂ࢆᐇ᪋ࡋࡓ㸬⾨ᫍ㝆Ỉほ ࢹ࣮ࢱ
GSMaP㸪ཬࡧ㸪⾨࣐ᫍ࢖ࢡࣟἼᨺᑕィAMSU-Aࡢ㍤ᗘ ᗘࢹ࣮ࢱࡢྠ໬ࡢຠᯝࢆㄪ࡭ࡿࡓࡵ㸪ᚑ᮶ᆺ
ほ ࢹ࣮ࢱPREPBUFRࡢࡳࢆྠ໬ࡋࡓࢥࣥࢺ࣮ࣟࣝᐇ㦂㸦CTRL㸧࡟ຍ࠼࡚㸪GSMaPࢆ㏣ຍࡋࡓᐇ㦂
㸦+GSMaP㸧㸪AMSU-Aࢆ㏣ຍࡋࡓᐇ㦂㸦+AMSU-A㸧㸪୧᪉ࢆ㏣ຍࡋࡓᐇ㦂㸦ALL㸧ࢆᐇ⾜ࡋ㸪ࡇࡢࡍ
࡭࡚ࡀ3ࣨ᭶㛫Ᏻᐃࡋ࡚ືసࡍࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬ࡇࢀࡽࡢᐇ㦂⤖ᯝࢆ┦஫ẚ㍑ࡋ㸪GSMaPࡸAMSU-Aࢹ࣮ࢱࡀゎᯒሙࡢ⢭ᗘࢆᨵၿࡍࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬ゎᯒሙ࡜ࡣ㸪ࢹ࣮ࢱྠ໬ࡢฟຊ⤖ᯝ࡛࠶ࡾ㸪ண ࡢ㏣ຍࡍࡿࡇ࡜࡟ࡼࡿᨵၿࢆ♧ࡋ࡚࠾ࡾ㸪㝆Ỉほ ࢹ࣮ࢱࡢྠ໬࡟ࡼࡗ࡚㸪㢼ࡸẼ ࡞࡝㸪኱Ẽሙࡀࢺ࣮ࢱࣝ࡟ᨵၿࡍࡿⰋዲ࡞⤖ᯝࡀᚓࡽࢀࡓ㸬䠉㻝㻡㻥䠉

HPC@JAXA2015
ᐇ㦂 3 ࣨ᭶┠ࡢ⤖ᯝࢆぢࡿ࡜㸪
AMSU-A ࡢྠ໬࡟ࡼࡗ࡚୺࡟༡ᴟ࿘㎶ࡢㄗᕪࡀቑ࠼ࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬ࡇࡢཎᅉ࡜ࡋ࡚㸪LETKF ࡟⤌ࡳ㎸ࡲࢀ࡚࠸ࡿศᩓ⭾ᙇࡸ㸪㍤ᗘ ᗘࢹ࣮ࢱࡢ㐺ᛂᆺࣂ࢖࢔ࢫ⿵ṇᡭἲ࡞࡝ࡀ⪃࠼ࡽࢀ㸪㛗ᮇ㛫ࡢᏳᐃືసࡢࡓࡵ࡟ࡣ᭦࡞ࡿࢩࢫࢸ࣒㛤Ⓨࡀᚲせ࡜࡞ࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬㻌㻌㻌
ᅗ1 ඲⌫ᖹᆒẼ (K)ࡢゎᯒㄗᕪࡢኚ໬ࡢ᫬⣔ิ㸬⦪㍈ࡣ㧗ᗘ(hPa)ࢆ♧ࡍ㸬(a) +AMSU-Aᐇ㦂, (b)+GSMaPᐇ㦂, (c) ALLᐇ㦂ࡢCTRLᐇ㦂࡟ᑐࡍࡿኚ໬ࢆ♧ࡍ㸬㟷ࡣᨵၿ㸪㉥ࡣᨵᝏࢆ♧ࡍ㸬㸸Change in the global-mean temperature analysis errors (K) due to the assimilation of
additional GSMaP and AMSU-A data. The ordinate indicates vertical levels (hPa). (a)+AMSU-A, (b) +GSMaP, (c) All experiments relative to CTRL. Blue (Red) corresponds toimprovement (degradation).

㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
255889ࢥ࢔᫬㛫㸦3ࣨ᭶ࢧ࢖ࢡࣝ㸧
ࢣ࣮ࢫᩘ㸸
23ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸400ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᑎᓮᗣඣ㸪NICAM-LETKF࡟ ࠾ࡅࡿ⾨ᫍ㍤ᗘ ᗘཬࡧ㝆Ỉ㔞ྠ໬㸪➨17ᅇ㠀㟼ຊᏛࣔࢹࣝ࡟㛵ࡍࡿ࣮࣡ࢡࢩࣙࢵࣉ㸪Ἀ⦖㸪2015/12/1
2) ᑎᓮᗣඣ㸪NICAM-LETKFࡢ㛤Ⓨ≧ἣ㸪NICAM㛤Ⓨ⪅఍㆟㸪⟽᰿㸪2015/12/7
3) Takemasa Miyoshi, Ensemble-based Data Assimilation of TRMM/GPM Precipitation
Measurements, JAXA Joint PI Meeting, Tokyo, 2016/1/22
4) ୕ዲᘓṇ㸪͆඲⌫ࣔࢹࣝNICAMཬࡧ㡿ᇦࣔࢹࣝSCALEࢆ౑ࡗࡓ⾨ᫍほ ࢹ࣮ࢱྠ໬͇㸪GSMaPཬࡧ
⾨ᫍࢩ࣑࣮ࣗࣞࢱ◊✲㞟఍㸪ྡྂᒇ㸪2016/3/18

䠉㻝㻢㻜䠉

HPC@JAXA2015
㻌ࡑࡢ௚5) Koji Terasaki, Data assimilation experiments with GSMaP and AMSU-A data using
NICAM-LETKF system, JAXA Joint PI meeting, Tokyo, 2016/1/20
6) Shunji Kotsuki, K. Terasaki, G-Y. Lien, T. Miyoshi, K. Eugenia, Ensemble Data Assimilation of
GSMaP precipitation into the Nonhydrostatic Global Atmospheric Model NICAM, The 6th AICS
International Symposium, Kobe, 2016/2/20
㻌ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

3,001,787.08

0.35

㻌

䠉㻝㻢㻝䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻢㻥㻚㻌㻳㻼㻹㻛㻰㻼㻾 䛾䝕䞊䝍ཷಙฎ⌮䛻䛚䛡䜛䝇䝟䝁䞁฼⏝㻌
Utilization of JSS2 for GPM/DPR data processing㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸➨୍Ᏹᐂᢏ⾡㒊㛛㸪ୗᮧ⿱ྖ(shimomura.yuji@jaxa.jp)ᵓᡂဨ㸸➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪ோᑿ཭⨾(nio.tomomi@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪㰻⸨⣖⏨(saitoh.norio00@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪୰す ຌ(nakanishi.isao@jaxa.jp)➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸪ᑠす฼ᖾ(konishi.toshiyuki@jaxa.jp)
ᐩኈ㏻ᰴᘧ఍♫㸪ᆏཱྀຌ἞(sakaguchi.koji@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪ᖾ ᫛(yuki.akira@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪ụෆ࿴Ἠ(fj3513de@aa.jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪໭ᒣ㞝୍㑻(y-kitayama@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪⳥ᆅ㈗඾(kikuchi.taka-01@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪ྜྷ⏣❳ஓ(ps-yosida9308@fap.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪෠ኈ㉺⋹Ꮚ(r.fujikoshi@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪ᯘ ᐶ⏕(hayashi.hiroo@jp.fujitsu.com)
ᐩኈ㏻ᰴᘧ఍♫㸪ᯇᮏဴஓ(matsumoto.tetsu@jp.fujitsu.com)

㻌 ஦ᴗࡢ┠ⓗNASA ࡜ඹྠࡢ⇕ᖏ㝆㞵ほ ⾨ᫍࠕTRMMࠖ࡟ࡼࡿ⇕ᖏࡢ㝆㞵㔞ࡢほ ᡂᯝࢆཷࡅ⥅ࡂ㸪඲⌫㝆Ỉほィ⏬㸦GPM㸧࡛ࡣほ ⠊ᅖࢆ㧗⦋ᗘࡲ࡛ᗈࡆ㸪ࡼࡾ㧗⢭ᗘ㸪㧗㢖ᗘࡢほ ࢆ┠ᣦࡍ㸬
GPM ࡣ஧࿘Ἴ㝆Ỉ࣮ࣞࢲ࣮㸦DPR:Dual-frequency Precipitation Radar㸧࡜࣐࢖ࢡࣟἼᨺᑕィࢆᦚ㍕
ࡋࡓ୺⾨ᫍ࡜㸪࣐࢖ࢡࣟἼᨺᑕィࢆᦚ㍕ࡋࡓ๪⾨ᫍ⩌࡜࠿ࡽ࡞ࡿ኱つᶍ࡞ほ ィ⏬࡛࠶ࡿ㸬㻌 ஦ᴗࡢ┠ᶆῐỈ㈨※ࡢ※࡛࠶ࡿ㝆㞵࡟ࡘ࠸࡚㸪⣙ 3 ᫬㛫ẖࡢ඲⌫ほ ࢆྍ⬟࡜ࡋ㸪 ᬮ໬ࡸẼೃࡢኚ໬࡟ࡼࡾᙳ
㡪ࡉࢀࡿᆅ⌫ୖࡢỈࡢᚠ⎔ࢆ඲⌫ୖ࡛⥅⥆ⓗ࡟ᢕᥱࡍࡿࡇ࡜࡛㸪኱㞵ࡸ᪭㨧➼ࡢ␗ᖖẼ㇟ࡢண ࡸᑐ⟇ࡢᢏ⾡ࢆྥୖࡉࡏࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
኱㔞ࡢࢹ࣮ࢱ(TRMM 17ᖺศ㸪GPM 2014ᖺ2᭶ࡢᡴୖࡆ࠿ࡽࡢ⤒㐣ᮇ㛫)ࢆ㸪᭱᪂࢔ࣝࢦࣜࢬ࣒࡟ࡼ
ࡾ㧗㏿෌ฎ⌮ࢆ⾜࠸࣮ࣘࢨ࡟ᥦ౪ࡍࡿ஦࡛㸪◊✲ࡢ▷ᮇ㛫࡛ࡢ㧗ᗘ໬࡟㈉⊩࡛ࡁࡿ㸬䠉㻝㻢㻞䠉

HPC@JAXA2015㻌 ௒ᖺᗘࡢᡂᯝ
a. JSS2 ୖ࡛෌ฎ⌮ࢆᐇ᪋ࡍࡿ஦࡟ࡼࡾ㸪TKSC ୖࡢฎ⌮࡜ẚ㍑ࡋ⣙ 13 ಸࡢฎ⌮㏿ᗘྥୖࡀᮇᚅ࡛ࡁࡿ
⤖ᯝ࡜࡞ࡗࡓ㸬b. ㄪᕸタ⨨ࡢ JSS2 ࡜⟃Ἴタ⨨ࡢ࣑ࢵࢩࣙࣥ㐠⏝⣔ࢩࢫࢸ࣒࡜ࡢ㐃ᦠᶵ⬟ࢆᵓ⠏ࡋ㸪ࡲࡓ㸪࣮࣡ࢡࣇࣟ
࣮ไᚚᶵ⬟ࡢ GPM/TRMM ᑐᛂࢆ᏶஢ࡋ㸪᮶ᖺᗘ௨㝆ࡢ኱つᶍ࡞෌ฎ⌮ࢆຠ⋡ࡼࡃᐇ᪋࡛ࡁࡿ⎔ቃࡀᩚࡗࡓ㸬

ᅗ 1 JSS2 ࡜ TKSC/GPM タഛ࡜ࡢ㐃ᦠ
㸸Interface between JSS2 and the GPM Ground System at TKSC

Coventional
Processing
System100days䡚1/13
improvement

JSS2
PreͲPost(30nodes)
System8days

0

20

40

60

80

ᅗ 2 GPM/DPR ࡢ෌ฎ⌮᫬㛫ぢ✚ࡾ㸸GPM/DPR Re-processing Time (Estimated)

䠉㻝㻢㻟䠉

100

120

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1᪥㛫㹼3᪥㛫㸪᩿⥆ⓗ࡟ᐇ᪋
ࢣ࣮ࢫᩘ㸸
6ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
20ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) Ᏹᐂ⯟✵◊✲㛤Ⓨᶵᵓ◊✲㛤Ⓨሗ࿌ࠕᏱᐂ⛉Ꮫ᝟ሗゎᯒㄽᩥㄅ ➨භྕࠖ࡟ᥖ㍕ணᐃཱྀ㢌Ⓨ⾲2) 㰻⸨⣖⏨㸪୰す ຌ㸪ୖ⏣㝧Ꮚ㸪⏣୰ ㄔ㸪ோᑿ཭⨾㸪ᑠす฼ᖾ㸦JAXA➨୍Ᏹᐂᢏ⾡㒊㛛 ⾨ᫍ฼⏝㐠⏝ࢭࣥࢱ࣮㸧㸪஭ཱྀ ⱱ㸦᪥ᮏ㟁Ẽᰴᘧ఍♫㸧㸪᪩ᆏⱥಇ㸦᪥ᮏ㟁Ẽ⯟✵Ᏹᐂࢩࢫࢸ࣒ᰴᘧ఍♫㸧㸪஭ୖ ῟୍㸪㫽ᒃ㞞ஓ㸦ᐩኈ㏻ᰴᘧ఍♫㸧ࠕᆅ⌫ほ ⾨ᫍࢹ࣮ࢱฎ⌮࡟࠾ࡅࡿJAXAࢫࣃࢥࣥά⏝ࡢຠᯝ᳨ドࠖᖹᡂ27ᖺᗘ Ᏹᐂ⛉Ꮫ᝟ሗゎᯒࢩ࣏ࣥࢪ࣒࢘ Feb. 2016.
3) “For Improving Research into Global Changes by Quick Delivery of Observation Data From Outer
Space”, SC15, Nov. 2015
ࡑࡢ௚4) JSS2 ࣃࣥࣇࣞࢵࢺ 2016ᖺ∧࡬ࡢᡂᯝᥖ㍕
5) ࣏ࢫࢱ࣮Ⓨ⾲㸸Isao NAKANISHI, Norio SAITO, Makoto TANAKA, Yoko UEDA, Toshiyuki
KONISHI, Tomomi NIO “Verification of Extreme Time Reduction for EO Satellite Data
Re-processing with Supercomputer”, Joint PI Meeting of Global Environment Observation Mission
2015, Jan.2016ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]10,913.34

SORA-PP

60,664.94

䠉㻝㻢㻠䠉SORA-LM

SORA-TPP

0.03

HPC@JAXA2015㻌㻣㻜㻚㻌㻴㻟 䝥䝻䝆䜵䜽䝖ᨭ᥼䛾ᑕⅬ㡢㡪ィ⟬㻌
Aeroacoustic simulation of launch configurations for supporting H3 project㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ᔱ ⱥᚿ(shima.eiji@jaxa.jp)ᵓᡂဨ㸸◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ሐ ㄔྖ(tsutsumi.seiji@jaxa.jp)◊✲㛤Ⓨ㒊㛛 ➨୕◊✲ࣘࢽࢵࢺ㸪ⰾ㈡⮧⣖(haga.takanori@jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪๓ᕝ཭ᶞ(maekawa.yuuki@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࣟࢣࢵࢺ࢚ࣥࢪࣥࡢࢡࣛࢫࢱ໬ࢆࣔࢹࣝ໬ࡋࡓࢥ࣮ࣝࢻࢪ࢙ࢵࢺヨ㦂ࢆᑐ㇟࡟㸪㡢㡪⎔ቃࡢᐃ㔞ⓗ࡞ண ࢆ⾜࠸㸪ࢪ࢙ࢵࢺࡢᖸ΅ຠᯝࢆ᫂ࡽ࠿࡟ࡍࡿ㸬ࡲࡓࢡࣛࢫࢱ໬ࡢ㓄⨨ࣃࢱ࣮ࣥ࡟ࡘ࠸࡚㡢㡪ࣞ࣋ࣝపῶࡢᣦ㔪ࢆᚓࡿ㸬㻌 ஦ᴗࡢ┠ᶆᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥ 3 ᇶࢆࢡࣛࢫࢱ࡟ࡍࡿ H3 ࡢᡴୖࡆᙧែ࡛ࡣ㸪ᚑ᮶ࡢ༙⤒㦂ࣔࢹࣝ(NASASP-8072)ࢆࡶ࡜࡟ࡍࡿ࡜ᾮࣟ 1 ᇶࡢሙྜ࡜ẚ㍑ࡋ࡚ࣜࣇࢺ࢜ࣇ᫬㡢㡪ࣞ࣋ࣝࡀ 4.7dB ቑຍࡍࡿ࡜ホ౯ࡉࢀ࡚࠸ࡿ㸬୍᪉㸪ࢥ࣮ࣝࢻࢪ࢙ࢵࢺヨ㦂࡛ࡣ୺せ࡞㡢※࡟ᑐࡋ࡚࡯࡜ࢇ࡝㡢㡪ࣞ࣋ࣝࡀቑຍࡋ࡞࠸ࡇ࡜ࡀほᐹࡉࢀ࡚࠸ࡿ㸬ヨ㦂࡟ᑐᛂࡍࡿ CFD ゎᯒࢆ⾜࠺ࡇ࡜࡟ࡼࡾ㸪1)ゎᯒࢥ࣮ࢻࡢᐃ㔞ⓗ࡞᳨ド㸪࠾ࡼࡧ2)ࢡࣛࢫࢱࢪ࢙ࢵࢺࡢᖸ΅ຠᯝࡢゎ᫂ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࣟࢣࢵࢺ࢚ࣥࢪࣥࣀࢬࣝ࠿ࡽᄇฟࡉࢀࡿ㉸㡢㏿ࢪ࢙ࢵࢺࡢ㡢㡪ࣞ࣋ࣝࢆᐃ㔞ⓗ࡟ホ౯ࡍࡿࡓࡵ࡟ࡣ㸪㡢※ゎᯒࡢLES࠾ࡼࡧ㐲᪉ሙ࡟ఏᦙࡍࡿᅽຊࡢ኱つᶍ㠀ᐃᖖࢹ࣮ࢱࢆฎ⌮ࡍࡿᚲせࡀ࠶ࡿ㸬ᮏゎᯒ࡛ࡣ㸪ࢡࣛࢫࢱ໬ࡋࡓ࢚ࣥࢪࣥࣀࢬࣝ3ᇶࡢࣇࣝ3ḟඖィ⟬ࢆ⾜࠺ࡓࡵ㸪ィ⟬つᶍࡶ࡯ࡰẚ౛ࡍࡿࡓࡵ㸦⣙3ಸ㸪
⥲᱁ᏊⅬᩘ㸸⣙2൨4༓୓Ⅼ㸧㸪┠ᶆ㐩ᡂࡢࡓࡵ࡟ࡣ㧗ᛶ⬟ࢫࣃࢥࣥࡢ฼⏝ࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ➨ ୕ ◊ ✲ ࣘ ࢽ ࢵ ࢺ ࡛ ᪂ つ 㛤 Ⓨ ࡋ ࡓ 㸪 㧗 ḟ ⢭ ᗘ 㠀 ᵓ 㐀 FR 㸦 Flux Reconstruction) ἲ ࡟ ᇶ ࡙ ࡃ
LS-FLOW-HOࢥ࣮ࢻࢆ㐺⏝ࡋࡓ㸬ᐇ㦂ࢆ෌⌧ࡍࡿ3ᇶࢡࣛࢫࢱࡢࢪ࢙ࢵࢺ㡢㡪ゎᯒ࡟ᡂຌࡋ㸪㡢㡪ࣞ࣋ࣝࡀቑ኱ࡋ࡞࠸⌧㇟ࡢ⌮ゎࡀ㐍ࢇ࡛࠾ࡾ㸪タィせồࢆ‶ࡓࡍࡓࡵ࡟ᚲせ࡞ᩓỈタഛࢆ๐ῶ࡛ࡁࡿྍ⬟ᛶ
ࡀぢ࠼ࡓ㸬

䠉㻝㻢㻡䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 3ᇶࢡࣛࢫࢱࢪ࢙ࢵࢺࡢᐦᗘሙ࡜ᅽຊሙ
㸸Density and pressure distribution of the clustered 3 supersonic jets㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
240᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
256ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ䛭䛾௚㻌1) H3ࣉࣟࢪ࢙ࢡࢺ࡬ゎᯒ⤖ᯝ㈨ᩱࢆሗ࿌

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]5,538,470.17

SORA-PP

9,018.71

㻌㻌
㻌

㻌

䠉㻝㻢㻢䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻣㻝㻚㻌㻸㻱㻙㻥 䜶䞁䝆䞁 㻻㼀㻼 䝍䞊䝡䞁䛾㛤Ⓨ㻌
Development of OTP in LE-9 Engine㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ  㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪㈡⃝㡰୍(kazawa.junichi@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗಙ㢗ᛶࡀ㧗ࡃ㸪㧗ᛶ⬟࡞ࣟࢣࢵࢺ⏝ࢱ࣮࣏࣎ࣥࣉෆࢱ࣮ࣅࣥࡢタィ㻌 ஦ᴗࡢ┠ᶆ㟼ື⩼ิᖸ΅࡟ࡼࡿᙉไእຊ࡛ࡢ᣺ືࡀ᝿ᐃ⠊ᅖෆ࡛࠶ࡿࡇ࡜ࢆ඲࿘඲ẁࡢᩘ್ゎᯒࢆ⏝࠸࡚☜ㄆࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
඲࿘඲ẁࡢゎᯒࡣ5൨Ⅼ௨ୖࡢ᱁ᏊⅬᩘࢆᚲせ࡜ࡋ㸪ィ⟬⮬యࡀࢫࣃࢥࣥࢆ฼⏝ࡋ࡞࠸࡜ᐇ᪋୙ྍ⬟㸬㻌 ௒ᖺᗘࡢᡂᯝ
タィୖࡢ᮲௳࡟࠾࠸࡚ィ⟬ࢆᐇ᪋ࡋ㸪⩼㠃࡟࠿࠿ࡿ㟼ᅽࡢ᫬㛫ᒚṔࢆᥦ౪ࡋࡓ㸬㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
2200᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸200ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]4,622,989.23

SORA-PP㻌㻌㻌

8,181.19

䠉㻝㻢㻣䠉SORA-LM

9.75

SORA-TPP㻌

HPC@JAXA2015

㻣㻞㻚㻌 㧗㏿ὶయ䝋䝹䝞 㻲㼍㻿㼀㻭㻾 䜢⏝䛔䛯 㻾㻸㻳㻌 ᙧ≧䛻ᑐ䛩䜛㠀ᐃᖖ✵ຊゎᯒ㻌
Analysis of Unsteady Aerodynamics of Rudimentary Landing Gear Using Fast
Unstructured-Grid Flow Solver FaSTAR
㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo.yuichi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᮧୖ᱇୍(murakami.keiichi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ ᢏ⾡◊ಟ⏕㸪ᯇ஭ຬᶞ(ymatsui@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ㠀ᵓ㐀᱁Ꮚࢯࣝࣂࢆᑐ㇟࡟㸪ᩘ್⢓ᛶࡢ࡞࠸୰ᚰᕪศࢆ⏝࠸࡚㢼ୖᕪศ࡟ࡼࡿᩘ್⢓ᛶࢆᢚไࡋ㸪ゎ
ࡢῶ⾶ࢆᢚ࠼ࡿࡇ࡜࡛ゎീᗘࢆྥୖࡉࡏ㸪✵ຊ㦁㡢ࢆ㧗ゎീᗘ࡟ண ࡛ࡁࡿᡭἲࡢᵓ⠏ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᩘ್ὶ᮰ィ⟬ࢆ୰ᚰᕪศ࣮࣋ࢫ࡛⾜࠸㸪wiggle detector ࡟ࡼࡿ୙㐃⥆㠃᳨▱ᡭἲ࡜⾪ᧁἼࢭࣥࢧ࣮࡟
ࡼࡿ⾪ᧁἼ㠃᳨▱ᡭἲࢆ⏝࠸࡚㸪୰ᚰᕪศ࡛ࡣゎࡅ࡞࠸୙㐃⥆㠃ࡢࡳ㢼ୖᕪศࢆ⾜࠺ࡇ࡜࡛㸪ᩘ್⢓ᛶ࡟ࡼࡿゎࡢῶ⾶ࢆపῶࡉࡏ㸪ゎࡢゎീᗘࢆྥୖࡉࡏࡿ Hybrid Scheme ࢆ FaSTR ࡟ᑟධࡋ㸪᳨ドィ⟬ࢆ⾜ࡗ࡚▱ぢࢆᚓࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
」㞧࡞ᙧ≧࡛኱つᶍ࡞ィ⟬᱁Ꮚࢆ⏝࠸㸪㝈ࡽࢀࡓ◊ಟᮇ㛫ࡢ୰࡛㸪㠀ᐃᖖゎᯒࢆᐇ᪋ࡍࡿࡓࡵ࡟ࡣ㸪ࢫࣃࢥࣥ฼⏝ࡀᚲせ୙ྍḞ࡛࠶ࡗࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
㠀ᵓ㐀᱁ᏊCFDࢯࣝࣂFaSTARࡣ㸪RLGᙧ≧RANSィ⟬࡟࠾࠸࡚ྠᵝࡢ஘ὶࣔࢹࣝࡸࢫ࣮࣒࢟ࢆ⏝࠸ࡓሙྜ㸪ᵓ㐀᱁ᏊCFDࢯࣝࣂUPACS࡜ྠ⛬ᗘࡢ⤖ᯝࢆᚓࡿࡇ࡜ࡀ࡛ࡁࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬䠉㻝㻢㻤䠉

HPC@JAXA2015
㻌㻌㻌
ᅗ1 RLGࡢ⾲㠃ᅽຊศᕸ㸸Surface Presser Distribution of RLG㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
50᫬㛫
ࢣ࣮ࢫᩘ㸸
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸32ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᯇ஭ຬᶞ㸪▼⏣ ᓫ㸪㟷ᒣ๛ྐ㸪ᒣᮏ ㄔ㸪Ᏺ ⿱ஓ㸪㧗㏿ὶయࢯࣝࣂFaSTAR ࢆ⏝࠸ࡓRLG ᙧ≧࡟ᑐࡍࡿ㠀ᐃᖖ✵ຊゎᯒ㸪➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪ㅮ₇␒ྕB05-4
ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]986,696.53

SORA-PP

10,803.42

㻌

䠉㻝㻢㻥䠉

SORA-LM

305.90

SORA-TPPHPC@JAXA2015

㻣㻟㻚㻌 ⯟✵Ᏹᐂᶵෆ㒊㡢㡪⎔ቃᨵၿ䛾䛯䜑䛾㡢㡪ゎᯒᢏ⾡䛾◊✲㻌
Study on Acoustic Analysis Techniques to Improve Aerospace Interior Acoustic EnvironmentW㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㧗ᶫ Ꮥ(takahashi.takashi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㔠᳃ṇྐ(kanamori.masashi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪኱㐨ຬဢ(ohmichi.yuya@jaxa.jp)ᮾᾏ኱Ꮫ㸪ᮾ ㈗ᘯ(thigashi@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪㔠㇂ᓫྐ(tkanatan@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪Ṋ⏣ᑑே(htakeda@chofu.jaxa.jp)㤳㒔኱Ꮫᮾி㸪኱ஂಖᐶ(kanne@tmu.ac.jp))㻌 ஦ᴗࡢ┠ⓗᅜ⏘᪑ᐈᶵ㛤Ⓨ࣓࣮࢝ࡶ㸪ᅜ㝿➇தຊᙉ໬ࡢࡓࡵ࡟ᶵෆ㦁㡢పῶࡀᚲせ࡛࠶ࡿ࡜⪃࠼࡚࠸ࡿ㸬ࡲࡓ㸪
㍺㏦ᮏ㒊ࡣ㸪᪂ᆺᇶᖿࣟࢣࢵࢺࡢࣇ࢙࢔ࣜࣥࢢෆ㡢㡪⎔ቃ࡟㛵ࡋ࡚㸪ᅜ㝿➇தຊࢆ㧗ࡵࡿࡓࡵ࡟ࡶ᪤Ꮡ
ࣟࢣࢵࢺ࡟ẚ࡭పῶࡍࡿ࡜࠸࠺┠ᶆࢆᥖࡆ࡚࠸ࡿ㸬ୖグࢽ࣮ࢬ࡟⟅࠼㸪⯟✵ᶵᶵෆ㦁㡢⎔ቃ㸪ཬࡧࣇ࢙࢔ࣜࣥࢢෆ㡢㡪⎔ቃࢆᨵၿࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆୖグ┠ⓗࢆᐇ⌧ࡍࡿࡓࡵ࡟ᚲせ୙ྍḞ࡞ᢏ⾡࡜ࡋ࡚㸪㠀ᐃᖖ CFD ィ⟬࡜ẚࡋ࡚᱁ẁࡢ㧗㏿ᛶࢆ᭷ࡋ㸪㡢㡪పῶࡢึᮇ᳨ウࡸタィ᫬࡟ά⏝ྍ⬟࡞ᐇ⏝ⓗ㡢※/㐲᪉ሙఏ᧛ண ᢏ⾡㸪ཬࡧ᪤Ꮡᡭἲ㸦᭷㝈せ⣲ἲࡸ⤫ィⓗ࢚ࢿࣝࢠ࣮ἲ㸧࡛ࡣゎᯒࡀ࡛ࡁ࡞࠸୰㛫࿘Ἴᩘᖏ࡬ゎᯒ⠊ᅖᣑ኱ྍ⬟࡞㏱㐣᣺ື࣭ῶ㡢ண ᢏ⾡ࢆ㧗ᗘ໬㸦㧗㏿໬㸪㧗⢭ᗘ໬➼㸧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㧗㏿࡞㡢※࣭ఏ᧛ゎᯒᡭἲࢆᵓ⠏ࡍࡿୖ࡛ࡣ㸪᳨ド⏝ࡢヲ⣽࡞CFDゎᯒࡀᚲせ࡜࡞ࡿ㸬ࡲࡓ㸪㛤Ⓨࡉࢀࡓ㡢㡪ఏ᧛ゎࡣ㸪D-SENDࣉࣟࢪ࢙ࢡࢺ➼ࡢᨭ᥼࡜ࡋ࡚㉸㡢㏿ᶵ࡟ࡶ฼⏝࡛ࡁࡿࡀ㸪ᶵయ㏆ഐࡢᅽຊἼᙧࡢ᥎⟬ࡣ㸪ẚ㍑ⓗ⡆༢࡞ᙧ≧࡜ゝ࠼࡝ィ⟬㈇Ⲵࡣ㧗࠸㸬ᐇ㝿㸪ᶵయ࠿ࡽ㞳ࢀࡓሙᡤ࡟࠾ࡅࡿᚤᙅ࡞
ᅽຊἼᙧࢆ᥎⟬ࡍࡿࡓࡵ࡟ࡣ㸪༑ศ࡟⣽࠿࠸᱁Ꮚࡀᚲせ࡟࡞ࡾ㸪ࡑࡢ⤖ᯝゎᯒࡣ኱つᶍ࡟࡞ࡽࡊࡿࢆᚓ
ࡎ㸪ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࢆ౑ࡗࡓゎᯒࢆᐇ᪋ࡋ࡞࠸㝈ࡾ㸪ᐇ㦂࡜ᑐᛂࡍࡿ⤖ᯝࢆᚓࡿࡇ࡜ࡣ୙ྍ⬟࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
LES ➼ࡢ㧗⢭ᗘゎᯒᡭἲࢆ෽ࡄ㧗㏿࡞㡢※ゎᯒᢏ⾡࡟ࡘ࠸࡚ࡣ㸪⤫ィⓗ㡢※෌ᵓ⠏ἲ࡜㡢㡪࢔ࢼࣟࢪ࣮ࡢ⤌ࡳྜࢃࡏ࡟ࡼࡿᄇὶ㦁㡢ゎᯒࡢ◊✲ࢆ⾜ࡗࡓ㸬௒ᖺᗘࡣ⤫ィⓗ㡢※෌ᵓ⠏ἲ࡟ྵࡲࢀࡿᗄࡘ࠿ࡢ
ㄪᩚ⏝ࣃ࣓࣮ࣛࢱࢆኚ᭦ࡋࡓゎᯒࢆ⾜࠸㸪ࣃ࣓࣮ࣛࢱ࡟ࡼࡿᵝࠎ࡞≀⌮㔞ࡢኚ໬࡜ࡑࡢ㦁㡢ண ್࡬ࡢ䠉㻝㻣㻜䠉HPC@JAXA2015
ᙳ㡪ࢆㄪ࡭ࡓ㸬ࡑࡢ⤖ᯝ㸪⤫ィⓗ㡢※෌ᵓ⠏ἲࡀ⏕ᡂࡍࡿ஘ὶሙࡀ‶ࡓࡍ࡭ࡁᛶ㉁࡟ࡘ࠸࡚㸪㔜せ࡞♧၀ࡀᚓࡽࢀࡓ㸬ᅗ 1 ࡣ㸪෌ᵓ⠏ࡋࡓ㡢※࠿ࡽ⏕ࡌࡿᄇὶ࿘ࡾࡢᅽຊศᕸࡢ 1 ౛࡛࠶ࡿ㸬㐲᪉ሙఏ᧛ண ᢏ⾡࡟ࡘ࠸࡚ࡣ㸪CFD ➼࡜ẚ㍑ࡋ࡚㠀ᖖ࡟㧗㏿࡟ண ྍ⬟࡞㠀⥺ᙧ㡢㡪ఏ᧛ண ᢏ⾡࡟㛵ࡍࡿ◊✲ࢆ⾜ࡗࡓ㸬ලయⓗ࡟ࡣ㸪㡢※࠿ࡽほ Ⅼ࡬ࡢ 1 ᪉ྥⓗ࡞ఏ᧛ࡢࡳࢆᢅ࠺㏆ఝᡭἲ࡛࠶ࡿHAWARD ἲࢆᐇ⿦ࡋࡓࢶ࣮ࣝ(SPnoise)ࢆ㛤Ⓨࡋ㸪ᮏᖺᗘࡣ㸪ᮏࢶ࣮ࣝࡢ Verification ࡜㐺⏝⠊ᅖࡢ☜ㄆࢆ⾜ࡗࡓ㸬ᅗ 2 ࡣ㸪㐺⏝⠊ᅖࡢ☜ㄆ࡜ࡋ࡚㸪඾ᆺⓗ࡞ N Ἴࡢ኱Ẽ஘ὶຠᯝࢆᮏࢶ࣮ࣝ࡟࡚᥎⟬ࡋ㸪ᐃᛶⓗ࡞ഴྥࡀ෌⌧ࡉࢀࡿࡇ࡜ࢆ☜ㄆࡋࡓࡶࡢ࡛࠶ࡿ㸬N Ἴ࡟ぢࡽࢀࡿ඾ᆺⓗ࡞Ἴᙧࡢṍࢆ෌⌧ࡋ㸪⌮ㄽゎ࡟ࡼࡿኚື㡿ᇦ࡜ࡶᩚྜࡋ࡚࠸ࡿࡇ࡜ࡀ☜ㄆ࡛ࡁࡓ㸬㻌㻌
ᅗ1 ᄇὶ࿘ࡾࡢᅽຊศᕸ
㸸Pressure distribution around a jet㻌ᅗ2 ኱Ẽ஘ὶຠᯝ࡟ࡼࡿ1Ἴࡢኚᙧ㸸Distortion N-wave by atmospheric turbulence

㻌
㻌

䠉㻝㻣㻝䠉

㻌

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

5.5᫬㛫
⣙50ࢣ࣮ࢫ
1ࣉࣟࢭࢫ
12ࢥ࢔
࡞ࡋ
OpenMP
SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) M. Kanamori, T. Takahashi, and Y. Makino, Effect of Low-Boom Waveform on Transition Focus
Boom Using Lossy Nonlinear Tricomi Equation Analysis, AIAA Journal. 㸦ᢞ✏୰㸧2) M. Kanamori, T. Takahashi, and T. Aoyama, Development of Nonlinear Acoustic Propagation
Analysis Tool toward Realization of Loud Noise Environment in Aeronautics, Proc. of the 20th
International Symposium on Nonlinear Acoustics, Lyon, France, 2015.
ཱྀ㢌Ⓨ⾲3) 㔠᳃㸪㧗ᶫ㸪∾㔝㸪୰㸪ࢯࢽࢵࢡࣈ࣮࣒࡟ཬࡰࡍ኱Ẽ஘ὶຠᯝࡢᩘ್ⓗホ౯㸪➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ
࣒࢘㸪ᯇᒣ㸪2015㸬ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]424,646.46

SORA-PP

72,293.42

䠉㻝㻣㻞䠉SORA-LM

79,670.48

SORA-TPPHPC@JAXA2015㻌㻣㻠㻚㻌 㧗㈇Ⲵᩘ್䝅䝭䝳䝺䞊䝅䝵䞁㧗㏿໬䛾◊✲㻌
Study of high load numerical simulation tuning㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪⸨⏣┤⾜(fujita@chofu.jaxa.jp)ఀ⸨ṇ຾(itoh.masakatsu@jaxa.jp)ᐑᓥᩗ᫂(miyajima.takaaki@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ୪ิฎ⌮ᶵᵓࡀ㝵ᒙᵓ㐀໬ࡋ࡚࠸ࡿ⌧௦ࡢ」㞧࡞ィ⟬ᶵ࡟࠾࠸࡚㸪ຠ⋡ⓗ࡞ࣉࣟࢢ࣑ࣛࣥࢢࡸࢳ࣮ࣗ
ࢽࣥࢢࢆ⾜࠼ࡿࡓࡵࡢᡭἲࡢᥦ♧ࡸయ⣔໬ࢆ⾜࠺࡜࡜ࡶ࡟㸪CFD ࡟ຍ࠼࡚㸪Ἴື࣮࣋ࢫἲ㸪PIC ἲ➼ࡢ᪂ࡓ࡞ィ⟬ᡭἲࡢ㧗㏿໬ᡭẁࢆᥦ♧ࡍࡿࡇ࡜࡟ࡼࡾ㸪ࢥ࣮ࢹ࢕ࣥࢢࡔࡅ࡛ࡣ㐩ᡂ࡛ࡁ࡞࠸ᩘ್ゎᯒࡢ㧗
㏿໬ࡸࢫࣃࢥࣥ➼ࡢタഛ฼⏝ࡢ⬟⋡ྥୖ࡟㈨ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆx 㧗㈇Ⲵࢧࣈ࣮ࣝࢳࣥࡀ㸪࣐ࣝࢳࢥ࢔㸭࣓ࢽ࣮ࢥ࢔ᢏ⾡ࡢ₇⟬ჾୖ࡛㸪⌧≧ࡢ₇⟬ჾ✌ാ⋡(10%⛬ᗘ)௨
ୖ࡛ᐇ⾜ࡉࢀࡿ㸬x ୪ิィ⟬ᶵࡢࣉࣟࢢ࣑ࣛࣥࢢᣦ㔪㸦ࢳ࣮ࣗࢽࣥࢢᣦ㔪ࡸࣉࣟࢢ࣑ࣛࣥࢢࢫࢱ࢖ࣝ㸧ࢆᥦ♧ࡋ㸪ࣉࣟࢢ࣐࣮ࣛࡢࢳ࣮ࣗࢽࣥࢢసᴗ࡟ᑐࡍࡿ㈇ᢸឤࢆ㍍ῶࡉࡏࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭x ◊✲ࡢᑐ㇟ࢆ࣮࣡ࢡࢫࢸ࣮ࢩࣙࣥ༢యࡸᑠつᶍࢡࣛࢫࢱ࡟␃ࡵࡎ㸪ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࡢࡼ࠺࡞኱つᶍ࡞ࢩࢫࢸ࣒ࡲ࡛ྵࡵࡽࢀࡿࡼ࠺࡟ࡍࡿࡓࡵࡢ㸪ᐇయ⎔ቃ࡜ࡋ࡚ࡢᙺ๭ࢆᯝࡓࡍ㸬x ࣉࣛࢬ࣐ࢥ࣮ࢻMPSࡢࢫࢣ࣮ࣛࣅࣜࢸ࢕ࢆ ᐃࡋࡓ㸬⢏Ꮚ⣔ࢩ࣑࣮ࣗࣞࢩࣙࣥࡣࣂࣥࢻᖜ࣎ࢺࣝࢿࢵ
ࢡ࡞ࡓࡵ㸪Ⰽࠎ࡞ࣉࣟࢭࢫ㸪ࣀ࣮ࢻ࡛ィ ࡍࡿࡇ࡜ࡀฟ᮶㸪࡜࡚ࡶⰋ࠿ࡗࡓ㸬MPI୪ิ࡛ࡢ㏻ಙ᫬㛫ࡢ ᐃࡀ㸪ᮘୖࡢィ⟬࡛ࡣ࡞ࡃᐇ㝿࡟⾜࠼ࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
x ࢯࣝࣂࡢ㧗㈇Ⲵฎ⌮ࡢࢥ࣮ࢻศᯒࢆ⾜࠸㸪ཎᅉࢆࣛࣥࢲ࣒࢔ࢡࢭࢫ࡜≉ᐃ㸬ࡲࡓ㸪ᙜヱฎ⌮ࢆGPU໬ࡋ㸪୍㒊ࡢฎ⌮࡛ 3 ಸ௨ୖࡢ㧗㏿໬ࢆ㐩ᡂࡋࡓ㸬x ⢏Ꮚ⣔ࢩ࣑࣮ࣗࣞࢩࣙࣥࡢࢫࢣ࣮ࣛࣅࣜࢸ࢕ࡢ ᐃࢆ⾜࠸㸪࣎ࢺࣝࢿࢵࢡࢆ≉ᐃ㸪௒ᚋࡢ◊✲ࢱ࣮ࢤࢵࢺࢆ᫂☜࡟ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬ࡲࡓ㸪JSS2 ࡢᥦ౪ࡍࡿ᭱᪂ࡢィ⟬⎔ቃ࡛㸪௨๓ண᝿ࡋ࡚࠸ࡓࡶࡢ࡜
ࡣ␗࡞ࡿ࣎ࢺࣝࢿࢵࢡࢆⓎぢࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬x ୖグ 2 ࡘࡢᡂᯝࢆබ⾲ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬䠉㻝㻣㻟䠉

HPC@JAXA2015㻌ᅗ1 ᑓ⏝ィ⟬ᶵ࡟ࡼࡿ㧗㏿໬
㸸Tuning by Accelerator㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
0.5㹼5᫬㛫ࢣ࣮ࢫᩘ㸸
ྛ1ࢣ࣮ࢫࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
2㹼32ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔㸦2ࣀ࣮ࢻ1ࣉࣟࢭࢫ㹼16ࣀ࣮ࢻ2ࣉࣟࢭࢫ㸧ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) 2015 ᖺ 12 ᭶ 1 ᪥㸪CPSY◊✲఍㸪͆GPUࢆࡶࡕ࠸ࡓ࣮࣍ࣝࢫࣛࢫࢱ࣭ࢩ࣑࣮ࣗࣞࢩࣙࣥࡢ๭ࡾ௜ࡅ
ฎ⌮ࡢ㧗㏿໬ࡢ᳨ウ͇㸪ᐑᓥᩗ᫂㸪ᙇ ⛉ᐥ㸪⸨⏣┤⾜2) 2016 ᖺ 3 ᭶ 10 ᪥㸪᝟ሗฎ⌮Ꮫ఍➨ 78 ᅇ඲ᅜ኱఍㸪͆Particle-In-CellἲࡢGPU࡬ࡢ⛣᳜͇㸪ᐑᓥᩗ᫂㸪ᙇ ⛉ᐥ㸪⸨⏣┤⾜3) 2016 ᖺ 6 ᭶ 6 ᪥(ணᐃ)㸪HPCS2016 ࣏ࢫࢱ࣮㸪͆ParMETIS࡜཮᪉ྥࣜࢫࢺ࡟ࡼࡿືⓗ㡿ᇦศ๭࡜࣓
ࣔࣜ๐ῶᡭἲࡢMPSἲ࡬ࡢ㐺⏝͇㸪ᐑᓥᩗ᫂㸪❑⏣೺୍㸪ᮧୖ᱇୍㸪⸨⏣┤⾜ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

13,074.78

㻌
㻌
㻌

㻌

䠉㻝㻣㻠䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻣㻡㻚㻌 㧗䝺䜲䝜䝹䝈ᩘ஘ὶᄇὶ䛻䛚䛡䜛ᚤ⣽䝇䜿䞊䝹䝇䜹䝷䞊ΰྜ㐣⛬䛾ゎ᫂㻌Investigation on Small-scale Scalar Mixing in High Reynolds Number Turbulent Jets㻌 ஦ᴗᙧែ
⛉◊㈝㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᒣ᪂࿃(smatsu@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᮏ◊✲࡛ࡣ㸪DNS ࠾ࡼࡧ㧗ゎീᗘࡢ㝜ⓗ LES ࡟ࡼࡾࢫ࣮࢝ࣛΰྜࢆక࠺஘ὶᄇὶࡢゎᯒࢆ⾜࠸㸪࡜ࡾࢃࡅ㸪㧗ࣞ࢖ࣀࣝࢬᩘ᮲௳࡟࠾࠸࡚㸪ᚤ⣽ࢫࢣ࣮ࣝࡢ஘ὶࢫ࣮࢝ࣛΰྜࡀ࣐ࢡࣟ࡞ΰྜ㐣⛬࡟ᯝࡓࡍᙺ๭ࢆ᫂ࡽ࠿࡟ࡍࡿ㸬ᮏ◊✲ࡢᡂᯝ࡟ࡼࡾ㸪┤᥋ⓗ࡟ࡣ㸪ᚤ⣽ࢫࢣ࣮࡛ࣝ㉳ࡇࡿ஘ὶࢫ࣮࢝ࣛΰྜ㐣⛬ࡢ⌮ゎࢆࡶࡓࡽࡍ㸬ࡉࡽ࡟≀⌮㐣⛬࡬ࡢ⌮ゎࡀ㐍ࡴࡇ࡜࡛㸪㧗ࣞ࢖ࣀࣝࢬᩘ஘ὶ࡟࠾ࡅࡿࢫ࣮࢝ࣛΰྜ
ࡢ SGS ࣔࢹࣜࣥࢢࡢᨵၿ࡟ᐤ୚ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᮏ◊✲࡛ࡣ㸪ࢫ࣮࢝ࣛΰྜࢆక࠺ᖹ㠃஘ὶᄇὶ࡟ᑐࡋ࡚ࣞ࢖ࣀࣝࢬᩘ Re = 3000 㹼 3×104 ࡢ᮲௳࡟ࡘ࠸࡚஘ὶゎᯒࢆᐇ᪋ࡍࡿ㸬ᑡ࡞ࡃ࡜ࡶ Re = 3000, 104, 3×104 ࡢ᮲௳࡟ࡘ࠸࡚ゎᯒࢆᐇ᪋ࡍࡿࡇ࡜࡛
஘ὶࢫ࣮࢝ࣛΰྜ࡟࠾ࡅࡿ Re ࡬ࡢ౫Ꮡᛶࢆホ౯ࡍࡿ㸬ࡉࡽ࡟㸪࣐ࢡࣟ࡞ΰྜ㐣⛬࡬ࡢᙳ㡪ࡀ↓ࡃ࡞ࡿ㜈್࡜࡞ࡿ஘ὶᚤ⣽ࢫࢣ࣮ࣝ㸦ࡇࡢࢫࢣ࣮ࣝࡼࡾࡶᚤ⣽࡞஘ὶࡣᄇὶࡢ࣐ࢡࣟ࡞ΰྜ㐣⛬࡟ᙳ㡪ࡋ࡞࠸㸧ࢆホ౯ࡍࡿ㸬ලయⓗ࡟ࡣ㸪ゎᯒࢹ࣮ࢱ࡟ᑐࡋ࡚ࣇ࢕ࣝࢱࣜࣥࢢࢆ᪋ࡍࡇ࡜࡛ࢧࣈࢢࣜࢵࢻࢫࢣ࣮ࣝ㸦SGS㸧࡛ࡢࢫ࣮࢝ࣛࣇࣛࢵࢡࢫࢆホ౯ࡋ㸪ࢢࣜࢵࢻࢫࢣ࣮ࣝ㸦GS㸧ࣇࣛࢵࢡࢫ࡜ࡢᐃ㔞ⓗ࡞ẚ㍑ࢆ⾜࠺㸬ࣇ࢕ࣝࢱ࣮ᖜࢆኚ໬ࡉࡏ࡞ࡀࡽ SGS ࣇࣛࢵࢡࢫࡀ GS ࣇࣛࢵࢡࢫ࡟ᑐࡋ࡚ఱ%࡟࡞ࡿࡢ࠿ࢆホ౯ࡋ࡚࠸ࡁ㸪SGS ࣇࣛࢵࢡࢫࡢᐤ୚ࡀ↓ど࡛ࡁࡿ࡯࡝ᑠࡉࡃ࡞ࡿࢫࢣ࣮ࣝࢆ᫂ࡽ࠿࡟ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
࣐ࢡࣟ࡞ΰྜ㐣⛬࡬ࡢᙳ㡪ࡀ↓ࡃ࡞ࡿ㜈್ࡢ஘ὶᚤ⣽ࢫࢣ࣮ࣝࢆ᫂ࡽ࠿࡟ࡍࡿࡓࡵ࡟ࡣ㸪㧗ࣞ࢖ࣀࣝࢬᩘ᮲௳࡟ࡘ࠸࡚ DNS ࡞࡝ࡢ஘ὶゎᯒ࡟ࡼࡿ⤫ィࢹ࣮ࢱࡀᚲせ࡜࡞ࡿࡀ㸪㐣ཤ࡟ᐇ᪋ࡉࢀࡓᖹ㠃஘ὶᄇὶࡢ DNS ࡣ᭱኱࡛ࡶ Re = 6000 ࡲ࡛࡛࠶ࡾ㸪᪤Ꮡ◊✲ࡢ⤖ᯝ࠿ࡽᚓࡽࢀࡿ▱ぢࡣ㝈ᐃⓗ࡛࠶ࡿ㸬ࡑࢀ௨ୖࡢࣞ࢖ࣀࣝࢬᩘ㸪ᮏ◊✲࡛┠ᣦࡍࡼ࠺࡞ Re > 104 ௨ୖࡢ㧗ࣞ࢖ࣀࣝࢬᩘ᮲௳࡛ DNS ࢆᐇ᪋ࡍࡿ࡟ࡣᩘ൨Ⅼ࣮࢜ࢲ࣮ࡢ᱁ᏊⅬᩘࡀᚲせ࡛࠶ࡿࡓࡵ㸪ࢫࣃࢥࣥୖ࡛ࡢࡳᐇ⾜ࡀྍ⬟࡞኱つᶍゎᯒ࡟࡞ࡿ㸬ࡋࡓࡀࡗ࡚㸪ᮏ◊✲ࡢ㐙⾜࡟ࡣࢫࣃࢥࣥࡀᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
Re = 3000 ࠾ࡼࡧ 10000 ࡛ࡢ DNS ゎᯒࢆᐇ᪋ࡋࡓ㸬Re = 3000 ࡢ᮲௳࡟ࡘ࠸࡚㸪✵㛫⢭ᗘࢆ 5, 7,
9 ḟ⢭ᗘ࡛ኚ໬ࡉࡏゎᯒ⤖ᯝ࡬ࡢᙳ㡪ࢆホ౯ࡋࡓ㸬Re = 10000 ࡢ᮲௳࡛ࡣ✵㛫 7 ḟ⢭ᗘ࡛ 3 ൨Ⅼࡢィ⟬᱁Ꮚ࡟ࡼࡾ DNS ࢆᐇ᪋ࡋࡓ㸬㐣ཤࡢᐇ㦂ࢹ࣮ࢱ࡜ࡢẚ㍑࡟ࡼࡾ㸪ࣞ࢖ࣀࣝࢬᩘ࡬ࡢ౫Ꮡᛶࡀṇࡋࡃ෌⌧ࡉࢀ࡚࠸ࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬䠉㻝㻣㻡䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 Re = 3000 ࠾ࡼࡧ 10000 ࡛ࡢ DNS ࡟ࡼࡿ➨஧୙ኚ㔞ࡢ➼್㠃㸸Top view of positive Q criteria for the DNSs at Re = 3000 and 10000.

㻌࠙ィ⟬᝟ሗࠚ
200㹼600᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
286ࣉࣟࢭࢫ㸦36 ࡶࡋࡃࡣ 72ࣀ࣮ࢻ㸧ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4 ࡶࡋࡃࡣ 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) S. Matsuyama, “Implicit Large-Eddy Simulation of a Turbulent Plane Jet with Scalar Mixing,”
preparing for submission to AIAA Journal.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,723,211.73

SORA-PP



㻌
㻌

㻌

䠉㻝㻣㻢䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻣㻢㻚㻌 ᴟ㉸㡢㏿ᇦ䛾໬Ꮫ཯ᛂὶ䛻䛚䛡䜛ᩘ್ⓗ◊✲㻌
Numerical Study of Chemical Reaction in Hypersonic㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo.yuichi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᮧୖ᱇୍(murakei@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ ᢏ⾡◊ಟ⏕㸪㧗ᶫ⯟ᖹ(tkohei@chofo.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗx ໬Ꮫ཯ᛂⓎ⏕᫬ࡢ✵ຊຍ⇕⋡㧗⢭ᗘ᥎⟬x ✵ຊཬࡧ✵ຊຍ⇕ࢆ⪃៖ࡋࡓ෌౑⏝ᆺᏱᐂ 㑏ᶵࡢᙧ≧ᥦ᱌㻌 ஦ᴗࡢ┠ᶆx ᪤Ꮡࡢ཯ᛂὶࣔࢹࣝ࡟ࢹ࣮ࢱྠ໬ᡭἲࢆ⏝࠸,㧗⢭ᗘ࡞཯ᛂὶࣔࢹࣝࡢᵓ⠏x ኱ᇦⓗ᭱㐺໬ᡭἲEGOࢆ⏝࠸ࡓ,኱Ẽᅪ෌✺ධ᫬࡟࠾ࡅࡿタィ᝟ሗࡢᵓ⠏㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㢼Ὕᐇ㦂࡛ࡣ㏻㢼ฟ᮶࡞࠸᮲௳ୗ࡛ࡢᩘ್ィ⟬ཬࡧ,ὶࢀሙ࡟࠾ࡅࡿ✵Ẽ⤌ᡂࡢྍど໬➼࡟ࡼࡿ⌧㇟ࡢᢕᥱ㻌 ௒ᖺᗘࡢᡂᯝx 㧗㧗ᗘ(80km)࣭㧗࣐ࢵࣁᩘ(M=21.8)࡟࠾ࡅࡿᇶᮏᙧ≧࡛ࡢ཯ᛂὶィ⟬ࢆ⾜࠸,ከ✀ࡢ໬Ꮫ཯ᛂࣔࢹࣝ࡟
ࡼࡿㄪᰝࢆ⾜ࡗࡓ.( ᗘࣔࢹࣝ 4 ࡘ໬Ꮫ✀໬Ꮫ཯ᛂࣃࢱ࣮ࣥ 2 ࡘ⛣ὶ㡯ࢫ࣮࣒࢟ 5 ࡘࡢィ 40 ࢣ࣮
ࢫ)

䠉㻝㻣㻣䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 4 ᗘࣔࢹࣝ࡟࠾ࡅࡿ⌫య࿘ࡾࡢ໬Ꮫ⤌ᡂࡢὶࢀሙࡢᵝᏊ
㸸Flow Field around sphere in Four Temperature model㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
8᫬㛫
ࢣ࣮ࢫᩘ㸸
40ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸120ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ࠕᴟ㉸㡢㏿ὶィ⟬࡟࠾ࡅࡿ໬Ꮫ཯ᛂࣔࢹࣝ౫ᏑᛶㄪᰝࠖᏛෆ◊✲Ⓨ⾲ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

23,740.95

㻌

䠉㻝㻣㻤䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻣㻣㻚㻌 ෌✺ධ䜹䝥䝉䝹䛾㑄㡢㏿୙Ᏻᐃ䛻㛵䛩䜛◊✲㻌
Study on the Unstable Transonic of the re-entry capsule㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸㤳㒔኱Ꮫᮾி኱Ꮫ㝔㸪᳃ୖ⩌ᖹ(gmori@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ෌✺ධ࢝ࣉࢭࣝ㑄㡢㏿୙Ᏻᐃࡢ⌧㇟ゎ᫂࡟ྥࡅࡓ㸪࢝ࣉࢭࣝࡲࢃࡾࡢ⤌⧊ᵓ㐀ゎ᫂㸬㻌 ஦ᴗࡢ┠ᶆ෌✺ධ࢝ࣉࢭࣝࡲࢃࡾࡢ ᵓ㐀ࡢゎ᫂㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㠀ᐃᖖࡢ኱ᐜ㔞ィ⟬ࡢィ⟬ࢥࢫࢺ࣭᫬㛫ࡢ๐ῶ㸬㻌 ௒ᖺᗘࡢᡂᯝ
෌✺ධ࢝ࣉࢭࣝࡲࢃࡾࡢ㠀ᐃᖖィ⟬⤖ᯝ࡟ᅛ᭷┤஺ศゎࢆ㐺⏝ࡋ㸪࢝ࣉࢭࣝ⫼ᚋࡢ⤌⧊ᵓ㐀ࢆゎ᫂ࡋ
ࡓ㸬

㻌

㻌

㻌
ᅗ1 ࢝ࣉࢭࣝ࿘ࡾࡢ㏿ᗘ໙㓄ࢸࣥࢯࣝࡢ➨஧୙ኚ㔞ࡢ➼್㠃ᅛ᭷┤஺ศゎ㐺⏝ᚋ࢚ࢿࣝࢠ࣮ᐤ୚ᗘୖ఩4Mode㸸Isosurface of the Q-value of around capsule

㻌

䠉㻝㻣㻥䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
2㹼3㐌㛫
ࢣ࣮ࢫᩘ㸸
4ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
256ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) ᳃ୖ⩌ᖹ㸪㔠ᓮ㞞༤㸪኱㐨ຬဢ㸪▼ྥ᱇୍㸪HTV-R෌✺ධ࢝ࣉࢭࣝ࿘ࡾ࡟࠾ࡅࡿ㠀ᐃᖖ✵ຊࡢ⤌⧊ᵓ㐀ゎ᫂࡟ྥࡅࡓᅛ᭷┤஺ศゎἲࡢ㐺⏝㸪᪥ᮏ⯟✵ᏱᐂᏛ఍໭㒊ᨭ㒊㸪2016㸬ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]27,180.29

SORA-PP

8,866.16

㻌㻌
㻌

㻌

䠉㻝㻤㻜䠉

SORA-LM

2,130.48

SORA-TPP㻌㻣㻤㻚㻌 ᨐ஘ሙ㔜␚䛻䜘䜛 㼁㻾㻭㻺㻿 ゎᯒ䛾㻌
㑄㡢㏿䝞䝣䜵䝑䝖ண ⢭ᗘྥୖ䛻㛵䛩䜛◊✲㻌

HPC@JAXA2015

Study for Improving Prediction Capability ofTransonic Buffet Using Unsteady Perturbed RANS Simulation㻌 ஦ᴗᙧែ
ඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸ᮾ໭኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲⛉ ⯟✵ᏱᐂᕤᏛᑓᨷ㸪⇃⏣೺ኴ(kumada@cfd.mech.tohoku.ac.jp)ᮾ໭኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲⛉ ⯟✵ᏱᐂᕤᏛᑓᨷ㸪⃝⏣ᜨ௓(sawada@cfd.mech.tohoku.ac.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗィ⟬᫬㛫ࡀ▷ࡃᐇ⏝ᛶࡢ㧗࠸㑄㡢㏿ࣂࣇ࢙ࢵࢺᩘ್ண ᢏ⾡ࢆᵓ⠏ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᩘ್ⓗᨐ஘ࢆ௜ຍࡋࡓ URANS ゎᯒ࡟ࡼࡿ㑄㡢㏿ࣂࣇ࢙ࢵࢺ㜈್ண ᡭἲᵓ⠏࡜᳨ドࢆ⾜࠺㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᩘ್ᨐ஘ࢆຍ࠼ࡓURANSࢩ࣑࣮ࣗࣞࢩ࡛ࣙࣥNASA CRM୺⩼ࡢ㑄㡢㏿ࣂࣇ࢙ࢵࢺ㜈್ண ⬟ຊࢆ᳨ドࡍࡿ࡟ࡣ㠀ᐃᖖNSィ⟬ࢆ」ᩘࡢࢣ࣮ࢫ࡟ᑐࡋ࡚ᐇ᪋ࡍࡿࡇ࡜ࡀồࡵࡽࢀࡿ㸬ࡇࢀࡼࡾᮏ஦ᴗࢆຠ⋡ⓗ࡟ᐇ᪋ࡋ࡚ᡂᯝࢆᚓࡿࡓࡵ࡟ࢫࣃࢥࣥࢆ฼⏝ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
⩼࿘ࡾࡢ3ḟඖURANSゎᯒ࡛ࡣ㸪ᩘ್ᨐ஘ࢆ㔜␚ࡉࡏࡿ࡜⾪ᧁἼ᣺ືࢆ⏕ࡌ㸪㑄㡢㏿ࣂࣇ࢙ࢵࢺ㛤ጞⅬண ࡀྍ⬟࡛࠶ࡿࡇ࡜ࡀ♧ࡉࢀࡓ㸬≉࡟㸪NASA-CRMࡢࣂࣇ࢙ࢵࢺ㛤ጞⅬண ࡛ࡣ㢼Ὕヨ㦂⤖ᯝ࡜Ⰻ࠸୍⮴ࢆᚓࡓ㸬䠉㻝㻤㻝䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 ๤㞳㠃✚ኚື࡟ࡼࡿ㜈್ண㸸Onset prediction based on the temporal variationof surface area in separation region.

㻌࠙ィ⟬᝟ሗࠚ
60᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
6ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
128ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Kenta Kumada and Keisuke Sawada, “Improvement in prediction capability of Transonic Buffet on
NASA-CRM Using URANS,” AIAA Paper 2016-1346, 2016.

ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

233,893.94

0.01

䠉㻝㻤㻞䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻣㻥㻚㻌 㑄㡢㏿⏝➨ 㻞 ไ㝈㛵ᩘ䛻䜘䜛㧗ゎീᗘ䞉㧗ຠ⋡ 㻯㻲㻰 ᡭἲ㻌
Transonic a posteriori Limiters towards High Resolution and Efficient Flow Computations㻌 ஦ᴗᙧែ
ඹྠ◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᶫᮏ ᩔ(ahashi@chofu.jaxa.jp)ᶓ὾ᅜ❧኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲㝔㸪໭ᮧᆂ୍(kitamura@ynu.jp)ᶓ὾ᅜ❧኱Ꮫ ⌮ᕤᏛ㒊㸪㟷ᰠᣅஓ(aogaki-takuya-rf@ynu.jp)㻌㻌 ஦ᴗࡢ┠ⓗ㑄㡢㏿ࣂࣇ࢙ࢵࢺ࡟௦⾲ࡉࢀࡿ㠀ᐃᖖ✵ຊ⌧㇟ࢆ⢭ᗘⰋࡃゎᯒࡍࡿࡓࡵࡢᡭἲࢆᥦ᱌ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆୖグᡭἲࢆᥦ᱌ࡋ㸪♫఍࡛ᖜᗈࡃ౑ࡗ࡚࠸ࡓࡔࡃ㸬ࡇࢀ࡟ࡼࡾ㸪⯟✵Ᏹᐂศ㔝࡟㛵㐃ࡍࡿᩘ್ゎᯒᢏ⾡ࢆྥୖࡉࡏࡿࡔࡅ࡛࡞ࡃ㸪ࡇࢀࢆ♫఍࡬ᬑཬࡉࡏࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
᪂ࡋ࠸ὶయィ⟬ᡭἲ㸦࣏ࢫࢺ࣑ࣜࢱ㸧ࢆ⪃᱌ࡋ㸪JAXA㛤Ⓨࡢᅽ⦰ᛶὶయゎᯒࢥ࣮ࢻFaSTAR࡟⤌ࡳ㎸ࢇࡔ㸬ࡇࡢᐇ⏝ィ⟬࡟࠾ࡅࡿㄢ㢟ࢆ᫂ࡽ࠿࡟ࡍࡿࡓࡵ࡟㸪⯟✵ᶵ࿘ࡾࡢ኱つᶍ㠀ᐃᖖィ⟬ࢆJSS2ࢆ⏝࠸࡚⾜ࡗࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ୖグࡢィ⟬ࡢ⤖ᯝ㸪኱つᶍᐇ⏝ィ⟬࡟࠾࠸࡚㒊ศⓗ࡟ྵࡲࢀࡿ⁥ࡽ࠿࡛࡞࠸ࢭࣝ㸦ィ⟬᱁Ꮚ㸧࡟࠾࠸࡚ィ⟬ࡀ୙Ᏻᐃ໬ࡋ࡚ࡋࡲ࠺஦ࡀุ᫂ࡋࡓ㸬ࡇࢀ࡟ࡼࡾ௒ᚋࡢㄢ㢟࡜ࡋ࡚㸪ࢭࣝᙧ≧ࢆ⪃៖ࡋࡓᨵⰋࢆᡭἲ࡟ຍ࠼ࡿ࡭ࡁ࡛࠶ࡿ஦ࡀศ࠿ࡗࡓ㸬䠉㻝㻤㻟䠉

HPC@JAXA2015㻌㻌㻌ᅗͳ  ᐦᗘ໙㓄㸸㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5᫬㛫
ࢣ࣮ࢫᩘ㸸
3ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
512ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]41,125.40

SORA-PP



㻌
㻌

䠉㻝㻤㻠䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻤㻜㻚㻌 ⇞↝ჾタィ䝣䝻䞁䝖䝻䞊䝕䜱䞁䜾䛾䛯䜑䛾䝅䝭䝳䝺䞊䝅䝵䞁ᢏ⾡䛾◊✲㻌Research of simulation technology for frontloading of combustor design㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪⁁ῲὈᐶ(mizo@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㜿㒊ᾈᖾ(habe@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪༡㒊ኴ௓(nambu@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᒣ᪂࿃(smatsu@chofu.jaxa.jp)ᰴᘧ఍♫ᩘ್ࣇ࣮ࣟࢹࢨ࢖ࣥ㸪ᒸ㒊ኊᚿ(okabet@nufd.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪⳻⏣ Ꮫ(nakam@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪Ᏻ⏣❶ᝅ(MANABU_HISHIDA@mail.ryoyu.co.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪ඵⓒᐶᶞ(hiroki@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᾮయᚤ⢏໬㸪஘ὶ㸪⇞↝࡞࡝ࡢ⌧㇟ゎ᫂࠾ࡼࡧࣔࢹࣜࣥࢢ࡟ࡼࡾ㸪ᐇ⾜ྍ⬟࡞ィ⟬᫬㛫㸪ィ⟬⢭ᗘ࡛ࡢ⇞↝ჾゎᯒࢆᐇ⌧ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᾮయ⇞ᩱᚤ⢏໬㸪๤㞳஘ὶቃ⏺ᒙ࡞࡝࡟ࡘ࠸࡚ࡢ⌧㇟ࢆ⌮ゎࡋࣔࢹࣝ໬ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
኱つᶍヲ⣽ᩘ್ゎᯒࡢィ⟬࢚ࣥࢪࣥ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᄇὶቨ㠃⾪✺ゎᯒࢆᐇ᪋ࡋ㸪ቨ㠃⾪✺࡟ࡼࡾᄇὶࡀᾮ⭷࡬࡜ኚ໬ࡍࡿ㐣⛬ࢆᤊ࠼ࡿࡇ࡜࡟ᡂຌࡋࡓ㸬
DNS ࢹ࣮ࢱࢆ⏝࠸ࡓ๤㞳ὶᑐᛂ RANS ࣔࢹࣝ㸦k-Ȝࣔࢹࣝ㸧ࡢ㛤Ⓨࢆᐇ᪋ࡋ㸪஘ὶ࢚ࢿࣝࢠ࣮ࢆ࣋
࣮ࢫ࡜ࡋࡓ᪂ࡓ࡞ቨ㠃ࣔࢹࣝ㛵ᩘࢆᑟධࡍࡿࡇ࡜࡟ࡼࡾ㸪๤㞳஘ὶቃ⏺ᒙࡢ๤㞳Ⅼࡢண ࡀྍ⬟࡜࡞ࡗ
ࡓ㸬

䠉㻝㻤㻡䠉

HPC@JAXA2015㻌㻌
ᅗ 1 ቨ㠃⾪✺࡟ࡼࡿᾮ⭷ࡢᙧᡂ 㸸Formation of liquid film by wall impingement㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

2000᫬㛫
20ࢣ࣮ࢫ
192ࣉࣟࢭࢫ
1ࢥ࢔
Flat-MPI࡞ࡋSORA-MA㻌ᅗ 2 ๤㞳஘ὶ DNS ࡢ ᵓ㐀 㸸Vortical structures observed in DNS of a separated turbulent boundary layer.

㻌㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

2000᫬㛫
3ࢣ࣮ࢫ
120ࣉࣟࢭࢫ
8ࢥ࢔
XPFortan⮬ື୪ิ+OpenMPSORA-MA䠉㻝㻤㻢䠉HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) 㜿㒊ᾈᖾ㸪⁁ῲὈᐶ㸪ᯇᑿ⿱୍㸪͆๤㞳஘ὶቃ⏺ᒙ࡬ࡢ㐺⏝ࢆᛕ㢌࡟࠾࠸ࡓk-Ȝࣔࢹࣝࡢ㛤Ⓨ㸸ቨ㠃ࣔࢹࣝ㛵ᩘࡢ᳨ウ,͇ ᪥ᮏὶయຊᏛ఍ᖺ఍2015ㅮ₇ㄽᩥ㞟㸦2015ᖺ9᭶26᪥㹼28᪥㸪ᮾிᕤᴗ኱Ꮫ㸧,(CD-ROM).
2) 㜿㒊ᾈᖾ㸪⁁ῲὈᐶ㸪ᯇᑿ⿱୍㸪Philippe R. Spalart㸪͆ ๤㞳࣭෌௜╔ࢆక࠺஘ὶቃ⏺ᒙࡢDNS㸸ࣞ࢖ࣀࣝࢬᛂຊࡢ཰ᨭࡢゎᯒ,͇ ➨93ᮇ᪥ᮏᶵᲔᏛ఍ὶయᕤᏛ㒊㛛ㅮ₇఍ㅮ₇ㄽᩥ㞟㸦2015ᖺ11᭶7᪥㹼
8᪥㸪ᮾி⌮⛉኱Ꮫ㸧, (CD-ROM).
3) Hiroyuki Abe, Yasuhiro Mizobuchi, Yuichi Matsuo and Philippe R. Spalart, " Direct numericalsimulations of a turbulent separation bubble over a wide Reynolds-number range," Bulletin of theAmerican Physical Society 68th Annual Meeting of the APS Division of Fluid Dynamics (Boston,MA, November 22-24, 2015), Vol. 60, No. 21, p. 360.
4) 㜿㒊ᾈᖾ㸪⁁ῲὈᐶ㸪ᯇᑿ⿱୍㸪͆ ๤㞳஘ὶቃ⏺ᒙࡢDNS࡜ࣔࢹࣜࣥࢢ,͇ ➨31ᅇ⏕◊TSFDࢩ࣏ࣥࢪ
࣒࢘ㅮ₇ㄽᩥ㞟㸦2016ᖺ3᭶9᪥㸪ᮾி኱Ꮫ⏕⏘ᢏ⾡◊✲ᡤ㸧, pp 6-12.5.
ཱྀ㢌Ⓨ⾲5) ⁁ῲὈᐶ㸪➉㔝ᛅኵ㸪͆Ỉ⣲✵Ẽࣈࣥࢮࣥⅆ⅖ࡢヲ⣽ᵓ㐀ゎᯒ͇➨53ᅇ⇞↝ࢩ࣏ࣥࢪ࣒࢘㸬ࡑࡢ௚6) ⯟✵ᏱᐂᏛ఍ㄽᩥ㈹ཷ㈹” One-dimensional H2/O2 counter-flow diffusion flame simulation forflamelet table construction at supercritical pressure”

ᖺ㛫฼⏝㔞
SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]17,507,347.79

SORA-PP

170,912.68

䠉㻝㻤㻣䠉SORA-LM

105.55

SORA-TPPHPC@JAXA2015㻌㻤㻝㻚㻌 㣕⩧య䛾⾲㠃ᅽຊ䞉 ᗘศᕸ䝅䝭䝳䝺䞊䝅䝵䞁㻌The simulation of pressure and temperature surface distribution of free flight object.
㻌 ஦ᴗᙧែ
୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ㸪Ᏺ⏣ඞᙲ(morita.katsuaki@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ḟୡ௦⯟✵࢖ࣀ࣮࣋ࢩࣙࣥࣁࣈ ◊ಟ⏕㸪࿋ᒇⱥᶞ㻌 ஦ᴗࡢ┠ⓗPSP࣭TSP࡟ࡼࡿᅽຊ࣭ ᗘศᕸィ ἲࡢ㛤Ⓨ㸬㻌 ஦ᴗࡢ┠ᶆ⮬⏤࡟㣕⩧ࡋ࡚࠸ࡿ≀యࡢ⾲㠃ᅽຊ࣭ ᗘศᕸィ ࢆ⾜࠺㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᐇ㦂࡟ࡼࡿィ ್࡜ࢫࣃࢥࣥ࡟ࡼࡿࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝ࡜ࡢẚ㍑࡟ࡼࡾ㸪ィ ⤖ᯝࡢಙ㢗ᛶࢆ☜࠿ࡵࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᐃᖖ≧ែ࡟࠾ࡅࡿ㣕⩧యࡢ⾲㠃ᅽຊ࣭ ᗘศᕸࡢᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜ࡗࡓ㸬㻌㻌㻌㻌ᅗ 1 FaSTAR ࢆ⏝࠸ࡓ㣕⩧యࡢ⾲㠃ᅽຊศᕸࡢィ⟬⤖ᯝ㸦360m/s㸧㸸Calculation results of the surface pressure distribution of thefree flight object using FaSTAR㸦360m/s㸧
㻌㻌

䠉㻝㻤㻤䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10᫬㛫
ࢣ࣮ࢫᩘ㸸
5ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
12ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) 㟁Ẽ㏻ಙ኱Ꮫ኱Ꮫ㝔᝟ሗ⌮ᕤᏛ◊✲⛉▱⬟ᶵᲔᕤᏛᑓᨷᖹᡂ27ᖺᗘಟኈㄽᩥࠕ㠀ᐃᖖ㠃ィ ࢩࢫࢸ࣒ࢆ⏝࠸ࡓ㣕⩧యࡢᅽຊ࣭ ᗘศᕸィ ࡢᨵⰋࠖᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

㻌

0.19

SORA-PP

3,360.76

㻌䠉㻝㻤㻥䠉

SORA-LM

809.85

SORA-TPPHPC@JAXA2015㻌㻤㻞㻚㻌 」㞧ᙧ≧䜢཯ᫎ䛧䛯ᝨᫍ⾲ᒙ ᗘ䝅䝭䝳䝺䞊䝅䝵䞁䛻㛵䛩䜛◊✲㻌
Thermo physical simulation of asteroid with complicated surface geometries㻌 ஦ᴗᙧែ୍⯡◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ㸪⏣୰ ᬛ(tanaka@planeta.sci.isas.jaxa.jp)ᵓᡂဨ㸸ᮾி኱Ꮫ኱Ꮫ㝔 Ᏹᐂ⛉Ꮫ◊✲ᡤ㸪⁪⏣ 㞙(takita@planeta.sci.isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗࡣࡸࡪࡉ2 ᥈ᰝᶵ࡟ᦚ㍕ࡉࢀࡓ୰㛫㉥እ࣓࡛࢝ࣛྲྀᚓࡉࢀࡿぢ㎸ࡳࡢᑠᝨᫍRyuguࡢ⾲㠃 ᗘ࠿ࡽ㸪⾲㠃≀㉁ࡢ≀ᛶ࡟㛵ࡍࡿ᝟ሗࢆᘬࡁฟࡍ㝿࡟ᚲせ࡜࡞ࡿ⇕ࣔࢹࣝࢆᵓ⠏ࡋ㸪᪩ᮇ࡟ࣔࢹࣜࣥࢢ࡟ಀࡿၥ
㢟Ⅼࢆ᫂ࡽ࠿࡟ࡋ࡚ᮏ␒ࡢゎᯒ࡟ഛ࠼ࡿ㸬㻌 ஦ᴗࡢ┠ᶆᑠᝨᫍ඲⌫ᙧ≧ࡢࢹ࣮ࢱࢆ⏝࠸ࡓ୍㐃ࡢ⇕ィ⟬ࡢᐇ᪋(᫖ᖺᗘࡣ≉ᐃ㡿ᇦ࡟㝈ᐃࡋࡓィ⟬)㸬ࢯࣇࢺ࢚࢘࢔࡟㐺ࡍࡿ୪ิࣔࢹࣝࡢ㑅ᐃࡢࡓࡵࡢ㸪ࣃࣇ࢛࣮࣐ࣥࢫ࡟㛵ࡍࡿ᝟ሗࡢྲྀᚓ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
✵㛫ゎീᗘࡀ㧗࠸ᆅᙧࣔࢹࣝࢆ౑࠺ሙྜࡣ㸪ᕪศࢢࣜࢵࢻᩘࡀᩘ༓୓࠿ࡽᩘ༑൨⛬ᗘ࡟㐩ࡍࡿࡓࡵ㸪≉࡟⇕ᣑᩓ⌧㇟ࢆ᫂♧ⓗ࡟ᢅ࠺࡟ࡣHPC⎔ቃࡀ᭷⏝࡛࠶ࡿ㸬ࡲࡓ㸪ኳయ⾲㠃࡟⏕ࡌࡿ≉᭷ࡢᙳ㡿ᇦࡢ⏕ᡂฎ⌮࡟࠾࠸࡚㸪㏿ᗘ㠃ࡢၥ㢟ࢆゎỴࡍࡿⅬ࡛㈨ࡍࡿ࡜ᛮࢃࢀࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᑠᝨᫍ⾲㠃ࢆᵓᡂࡍࡿࡍ࡭࡚ࡢ࣓ࢵࢩࣗࢆྠ᫬࡟⪃៖ࡋࡓᙧ࡛㸪1 ⮬㌿࡟࠾ࡅࡿ ᗘศᕸࡢ᫬㛫ኚ໬
ࢆ㏣㊧ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬ࡇࡢ࡜ࡁ㸪ࣇࣛࢵࢺ୪ิࣔࢹࣝ࡟ẚ࡭㸪ࣁ࢖ࣈࣜࢵࢻࣔࢹࣝ࡟࠾࠸࡚᭷ព࡞
㏿ᗘྥୖࡀぢࡽࢀࡓ㸬ࡓࡔࡋ㸪≉࡟ MA ࢩࢫࢸ࣒࡛ࡣࣉࣟࢭࢫᩘࡸࢫࣞࢵࢻᩘࢆ༢⣧࡟ቑࡸࡋ࡚ࡶᮇᚅ
ࡉࢀࡿ࡯࡝ᛶ⬟ࡀฟ࡞࠸⌧㇟ࡀࡋࡤࡋࡤぢཷࡅࡽࢀࡓ㸬䠉㻝㻥㻜䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 ᑠᝨᫍ࢖ࢺ࢝࣡ࡢᙧ≧ࣔࢹࣝࢆ౑ࡗࡓ⾲㠃 ᗘศᕸࡢ౛
㸸Synthetic surface temperature using a numerical shape model of asteroid Itokawa㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
500᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
256ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-TPP㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) J.Takita, Asteroid thermal models–II., Hayabusa2 TIR-MARA, Radiometry & thermo-physicalmodel workshop, 2015.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

1,793,204.12

195,616.66

䠉㻝㻥㻝䠉SORA-LM

SORA-TPP

166,916.79

HPC@JAXA2015㻌㻤㻟㻚㻌 㢼㌴⩼࿘䜚䛾 㻯㻲㻰 ゎᯒ㻌
CFD Analysys of Wind Turbine㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo.yuichi@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᮧୖ᱇୍(murakei@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ ᢏ⾡◊ಟ⏕㸪ᒣ⏣ 㑈(ryamada@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
JAXA ࡛ࡢࢫࣃࢥࣥࢆ฼⏝ࡋࡓᩘ್ゎᯒᢏ⾡ࡢ◊ಟࢆ㏻ࡋ࡚㸪◊✲⪅ཪࡣᢏ⾡⪅ࡢ㣴ᡂ࠶ࡿ࠸ࡣ㈨㉁ࡢྥୖࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ
FaSTARࢆ⏝࠸࡚10 MW⣭㢼㌴ࡢ2ᯛ⩼ᙧ≧࡜3ᯛ⩼ᙧ≧ࡢCFDゎᯒࢆ⾜࠸㸪2ᯛ⩼໬ࡀᅇ㌿ຠᯝ࠾ࡼࡧ㢼㌴㏆ഐᚋὶ஘ࢀ࡟୚࠼ࡿᙳ㡪ホ౯࡜ࡑࡢཎᅉ࡟ࡘ࠸࡚⪃ᐹࢆ⾜࠺㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㢼㌴ࢆᑐ㇟࡜ࡋࡓ㠀ᐃᖖ኱つᶍゎᯒࢆ㝈ࡽࢀࡓ◊ಟᮇ㛫࡟ᐇ᪋ࡍࡿ࡟ࡣ㸪ࢫࣃࢥࣥࡢ฼⏝ࡀᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
2 ᯛ⩼໬࡟ࡼࡾ⩼᰿࠿ࡽ⩼୰⭡㒊࡟࠿ࡅ࡚ࡢᅇ㌿ຠᯝࡣࢥࣜ࢜ࣜຊࡢᙳ㡪ቑ኱࡟ࡼࡾ㢧ⴭ࡟࡞ࡿࡇ࡜
ࡀࢃ࠿ࡗࡓ㸬ࡲࡓ㸪2 ᯛ⩼ᙧ≧࡛ࡣ 3 ᯛ⩼ᙧ≧࡟ẚ࡭⩼➃ ࡢΰྜࡀ㐜ࢀ㸪㏿ᗘᅇ᚟࡟ࡘ࡞ࡀࡿ⩼➃఩⨨ࡢ஘ࢀࡢⓎ⏕ࡀ㐜ࢀࡿࡇ࡜ࡀࢃ࠿ࡗࡓ㸬ࡘࡲࡾ㸪㢼㌴ᚋὶࡢ㏿ᗘᅇ᚟ࡣ 2 ᯛ⩼໬࡟ࡼࡾ㐜ࢀࡿྍ⬟ᛶࡀ࠶ࡿࡓࡵ㸪㐲᪉ᚋὶࢆᑐ㇟࡜ࡋࡓ CFD ゎᯒ࡟ࡼࡿ᳨ドࡀ㔜せ࡜࡞ࡿ࡜࠸࠼ࡿ㸬䠉㻝㻥㻞䠉

HPC@JAXA2015
㻌

㻌

㻌

ᅗ1
ᗘࡢศᕸ㸦ୖᅗ㸸2ᯛ⩼㸪ୗᅗ㸸3ᯛ⩼㸧㸸Vorticity distribution(Upper: Two-bladed rotor Lower: Three-bladed rotor)㻌࠙ィ⟬᝟ሗࠚ
50᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
64ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP
SORA-PP㸪SORA-LM฼⏝ィ⟬ࢩࢫࢸ࣒㸸㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) Ryo Yamada, Keiichi Murakami, Atsushi Hashimoto, Takashi Aoyama, Makoto Iida,Yuichi Matsuo
and Chuichi Arakawa, Aerodynamic analysis of 10 MW-class wind turbine using CFD, EWEA20152) ᒣ⏣ 㑈㸪㣤⏣ ㄔ㸪Ⲩᕝᛅ୍㸪ᮧୖ᱇୍㸪ᶫᮏ ᩔ㸪㟷ᒣ๛ྐ㸪ᯇᑿ⿱୍㸪10 MW㉸⣭㢼㌴ࢆᑐ㇟࡜ࡋ
ࡓCFD࡜BEMࡢẚ㍑㸪᪥ᮏᶵᲔᏛ఍2015ᖺᗘᖺḟ኱఍୍⯡බ₇ᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP517,076.82

㻌
㻌
㻌

㻌

䠉㻝㻥㻟䠉

SORA-LM

1,719.19

SORA-TPP

0.13

HPC@JAXA2015㻌㻤㻠㻚㻌㻟 ḟඖ䝞䝣䜵䝑䝖ゎᯒ䛻㛵䛩䜛◊✲㻌
Study of numerical simulation for 3-dimensional buffet㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ᢏ⾡◊ಟ⏕㸧㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸ᮾி㎰ᕤ኱Ꮫ኱Ꮫ㝔㸪ᑠᓥⰋᐇ(s153675t@st.go.tuat.ac.jp)㻌 ஦ᴗࡢ┠ⓗx RANS/LESࣁ࢖ࣈࣜࢵࢻᡭἲࢆ⏝࠸࡚ࡢ㧗㏿ࣂࣇ࢙ࢵࢺゎᯒᡭἲࡢ☜❧㸬x 㧗㏿ࣂࣇ࢙ࢵࢺ࡟࠾ࡅࡿ⾪ᧁἼࡢ3ḟඖⓗ࡞ᣲືࡢゎ᫂㸬㻌 ஦ᴗࡢ┠ᶆx RANS/LESࣁ࢖ࣈࣜࢵࢻᡭἲࡢ୍ࡘ࡛࠶ࡿDESࢆ⏝࠸࡚㧗㏿ࣂࣇ࢙ࢵࢺࢆṇ☜࡟ゎᯒࡍࡿ㸬x ᐇᶵ࡟࠾ࡅࡿ㑄㡢㏿ࣂࣇ࢙ࢵࢺࡢᣲືࢆゎᯒࡋ㸪ࡑࡢ࣓࢝ࢽࢬ࣒ࢆ᫂ࡽ࠿࡟ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㧗ࣞ࢖ࣀࣝࢬᩘ࣭࣐ࢵࣁᩘ࡟࠾ࡅࡿ㠀ᐃᖖὶࢀࡢゎᯒ࡟ࡣከࡃࡢィ⟬㈨※ࡀᚲせ࡞ࡓࡵ㸪ࢫࣃࢥࣥࡢ
฼⏝ࡀ୙ྍḞ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
NASA-CRM ࡢ୺⩼㒊ศࣔࢹࣝࢆᑐ㇟࡟㸪Zonal-DES ࡟ࡼࡿゎᯒࢆ⾜ࡗࡓ㸬ࡑࡢ⤖ᯝ㸪㢼Ὕᐇ㦂࡛ሗ࿌ࡉࢀ࡚࠸ࡿ⾪ᧁἼࡢ 3 ḟඖⓗ࡞ᣲືࢆᐃᛶⓗ࡟෌⌧ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸬௒ᚋࡣ DES ࡢᨵⰋࢆ㐍ࡵゎᯒ⢭ᗘࡢྥୖࢆ┠ᣦࡍ࡜࡜ࡶ࡟㸪⌧㇟ࡢゎ᫂ࢆ㐍ࡵࡿ㸬㻌㻌㻌
ᅗ1 㑄㡢㏿ࣂࣇ࢙ࢵࢺࡢ஘ὶ ᵓ㐀㸸Structure of turbulent eddy of transonic buffet

㻌

䠉㻝㻥㻠䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
48᫬㛫
ࢣ࣮ࢫᩘ㸸
5ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
768ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 768ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᑠᓥⰋᐇ㸪ᶫᮏ ᩔ㸪▼⏣ ᓫ㸪㟷ᒣ๛ྐ, ட⏣ṇ἞㸪NASA-CRM⩼࡟࠾ࡅࡿ㑄㡢㏿ࣂࣇ࢙ࢵࢺࡢ㠀ᐃᖖᩘ್ゎᯒ㸪➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪2015ᖺ12᭶㸬ࡑࡢ௚2) 2015ᖺᗘᮾி㎰ᕤ኱ᏛᕤᏛᗓᶵᲔࢩࢫࢸ࣒ᕤᏛᑓᨷ ಟኈ୰㛫Ⓨ⾲Ⓨ⾲఍㸬ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]184,856.32

SORA-PP

1,401.44

㻌㻌
㻌
㻌

㻌

䠉㻝㻥㻡䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻤㻡㻚㻌㻲㼍㻿㼀㻭㻾 䛻䜘䜛㢼㌴⩼➃ 䛾ᩘ್ゎᯒ㻌
CFD analysis of wake vortex of a wind turbine㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦◊ಟ⏕㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪㟷ᒣ๛ྐ(aoyama@chofu.jaxa.jp)ᵓᡂဨ㸸ᮾி኱Ꮫ኱Ꮫ㝔㸪ᮌᮧె኱(k.kimura@gg.cfdl.t.u-tokyo.ac.jp)㻌 ஦ᴗࡢ┠ⓗ㢼㌴ࢆከᩘ㓄⨨ࡍࡿ኱つᶍ㢼ຊⓎ㟁᪋タ࡛࠶ࡿ࢘࢕ࣥࢻࣇ࢓࣮࣒࡟࠾࠸࡚ࡣ㸪㢼㌴࠿ࡽⓎ⏕ࡍࡿ⩼➃࡟ࡼࡗ࡚ୗὶ㢼㌴ࡢฟຊపୗࡸ⑂ປࡀၥ㢟࡜࡞ࡿ㸬ᩘ್ὶయຊᏛ࡟ࡼࡗ࡚⩼➃ ࡢᵓ㐀ࢆ᫂ࡽ࠿࡟ࡍ
ࡿࡇ࡜࡛㸪࢘࢖ࣥࢻࣇ࢓࣮࣒࡟࠾ࡅࡿ㐺ษ࡞㐠㌿᮲௳ࡸไᚚἲࡢ᳨ウ࡟ᙺ❧࡚ࡿ㸬㻌 ஦ᴗࡢ┠ᶆ㢼㌴ᚋὶ࡟ࡘ࠸࡚㸪⩼➃ ࡢⓎ⏕࣭ᔂቯ㐣⛬࡟╔┠ࡋ㸪ࡇࢀࡽࡢࣉࣟࢭࢫ࡜ᚋὶ㏿ᗘศᕸࡢ㛵ಀࢆ᫂ࡽ࠿࡟ࡍࡿࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬」ᩘࡢ㐠㌿᮲௳࡟ࡘ࠸࡚ᚋὶゎᯒࢆᐇ᪋ࡍࡿࡇ࡜࡛㸪ᐇ㝿࡟ᚋ⥆ࡢ㢼㌴࡟୚࠼ࡿᙳ㡪ࢆホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㢼㌴ᚋὶࡣ㢼㌴┤ᚄࡢᩘಸࡢࢫࢣ࣮ࣝ࡟Ώࡗ࡚ࡑࡢᵓ㐀ࡀኚ໬ࡍࡿⅭ㸪ࡑࡢゎᯒ࡟࠾࠸࡚ࡣ㢼㌴ᚋ᪉
ࡢᗈ⠊ᅖ࡟ヲ⣽࣓ࢵࢩࣗࢆ㓄⨨ࡍࡿᚲせࡀ࠶ࡿ㸬ࡑࡢࡓࡵィ⟬ࢥࢫࢺࡣ㠀ᖖ࡟኱ࡁ࠸ࡶࡢ࡜࡞ࡾ㸪ィ⟬᫬㛫ࡶ㛗ࡃ࡞ࡗ࡚ࡋࡲ࠺㸬ࢫࣃࢥࣥࡢά⏝࡟ࡼࡗ࡚ࡇࡢィ⟬㈇Ⲵࡢၥ㢟ࢆゎỴࡍࡿࡇ࡜ࡀ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࡲࡎᶍᆺ㢼㌴ࡢタィⅬ࡟࠾ࡅࡿ㢼㌴ゎᯒࢆᐇ᪋ࡋ㸪ඛ⾜◊✲ࡸᐇ㦂್ࡢẚ㍑࠿ࡽィ⟬ࡀ㐺ษ࡟ᐇ᪋ࡉ
ࢀ࡚࠸ࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸬ࡑࡢୖ࡛㢼㌴ᅇ㌿ᩘࢆኚ᭦ࡋ㸪㢼㌴⩼➃࠿ࡽⓎ⏕ࡍࡿ⩼➃ ࡜ᅇ㌿ᩘࡢ㛵ಀࢆㄪᰝࡋࡓ㸬ᅗ1࡟♧ࡍ㢼㌴ᚋὶ࡟࠾ࡅࡿ ᗘศᕸࡢࡼ࠺࡟㸪ᅇ㌿ᩘࡢኚ᭦࡟ࡼࡾ ิࡢ㛫㝸ࡀኚ໬ࡋ㸪ྛ ྠኈࡢΰྜ࣭ᔂቯ఩⨨ࡀኚ໬ࡍࡿᵝᏊࡀ♧ࡉࢀࡓ㸬ᅗ2࡟ྛࢣ࣮ࢫ࡟ ࡢ᭱኱ ᗘࢆྲྀᚓࡋࡓࡶࡢࢆ♧ࡍ㸬 ิࡢ㛫㝸ࡀ㏆࠸ࡶࡢ࡯࡝ ΰྜࡀ⏕ࡌࡸࡍࡃ㸪 ᗘࡢῶ⾶ࡀ㏿࠸ഴྥࡀᚓࡽࢀ࡚࠸ࡿ㸬䠉㻝㻥㻢䠉

HPC@JAXA2015ᅗ 1 㢼㌴ᚋὶ ᗘศᕸ(ୖ:࿘㏿ẚȢ=10,୰:Ȣ= 6.67,ୗ:Ȣ=4.167)
㸸distribution of wake vorticity(upper:Ȣ=10, middle:Ȣ=6.67, lower:Ȣ=4.167)

ᅗ 2 ᭱኱ ᗘࡢ᥎⛣: Maximum vorticity of tip vortices࠙ィ⟬᝟ሗࠚ
50᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
3ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
96ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPI࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP

153,372.35

㻌
㻌
㻌

㻌

䠉㻝㻥㻣䠉

SORA-LM

1,110.06

SORA-TPPHPC@JAXA2015㻌㻤㻢㻚㻌㻲㼄㻝㻜㻜 䛻䛚䛡䜛 㼁㻼㻭㻯㻿 䛾ᛶ⬟ホ౯䛸㧗㏿໬䝏䝳䞊䝙䞁䜾㻌
Performance evaluation and speed-up tuning of UPACS on FX100
㻌 ஦ᴗᙧែ
ཷク◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ㸪㧗ᮌு἞(ryo@isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ
HPCI ᡓ␎ࣉࣟࢢ࣒ࣛศ㔝 4 ḟୡ௦ࡶࡢ࡙ࡃࡾ࡛㛤Ⓨࡉࢀࡿ HPC/PF ྥࡅ࡟ᅽ⦰ᛶὶయゎᯒࣉࣟࢢ࣒ࣛ UPACS ࢆ㛤Ⓨࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆࢱ࣮࣎せ⣲ࡢヲ⣽ゎᯒࡀྍ⬟࡞ᅽ⦰ᛶὶయゎᯒࣉࣟࢢ࣒ࣛ UPACS ࢆ㛤Ⓨࡋ㸪⏘ᴗ⏺࡬ࡢᬑཬࢆᅗࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㧗㏿࣭㧗⢭ᗘ࡞ゎᯒࢆᐇ᪋ࡍࡿࡓࡵ࡟ࢫࣃࢥࣥ฼⏝ࡀᚲせ࡜࡞ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
᪂ࡋࡃJSS2࡜ࡋ࡚ᑟධࡉࢀࡓᐩኈ㏻〇ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱFX100ࢆᑐ㇟࡜ࡋ࡚UPACSࡢ࣮ྂ࢝ࢿ
࡛ࣝ࠶ࡿUPACS-Liteࢆ⏝࠸ࡓᛶ⬟ホ౯࡜㧗㏿໬ࢳ࣮ࣗࢽࣥࢢࢆᐇ᪋ࡋࡓ㸬ࡑࡢ⤖ᯝ㸪FX100ࡢᛶ⬟≉ᛶࡀุ᫂ࡍࡿ࡜ྠ᫬࡟FX100ྥࡅࡢ㧗㏿໬ࢳ࣮ࣗࢽࣥࢢᡭἲࡢࣀ࢘ࣁ࢘ࡀᚓࡽࢀࡓ㸬ࡑࡢ⤖ᯝUPACS-Lite࡟㛵ࡋ࡚FX1࡜ẚ㍑ࡋ࡚3ಸࡢ㧗㏿໬ࡀ㐩ᡂ࡛ࡁࡓ㸬㻌㻌

ᅗ1 FX100࡛ࡢUPACS-Liteࡢ㧗㏿໬ࢳ࣮ࣗࢽࣥࢢ
㸸Speed-up tuning of UPACS-Lite on FX100

䠉㻝㻥㻤䠉

㻌

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
N/A
ࢣ࣮ࢫᩘ㸸
N/A
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
2ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 16ࢫࣞࢵࢻ
ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) 㧗ᮌ㸪JAXA᪂ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱ㸦SORA-MA㸧ࡢᛶ⬟ホ౯㸪➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘ㅮ₇ㄽᩥ㞟㸪JAXA-SP㸪2016㸬ཱྀ㢌Ⓨ⾲2) 㧗ᮌ㸪JAXA᪂ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱ㸦SORA-MA㸧ࡢᛶ⬟ホ౯㸪➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪1C09㸪2016㸬3) 㧗ᮌ㸪FX100ࡢᛶ⬟ホ౯, SS◊࣏ࢫࢺ࣌ࢱ࢔ࣉࣜᛶ⬟WG㸪2016㸬4) 㧗ᮌ㸪
ࢫࢸࣥࢩࣝ⣔ࣉࣟࢢ࣒ࣛ࡟ࡼࡿFX100ࡢᛶ⬟ホ౯࡜㧗㏿໬ࢳ࣮ࣗࢽࣥࢢ㸪SS◊ HPCࣇ࢛࣮࣒ࣛ㸪
2016㸬
ࡑࡢ௚
5) R. Takaki and S. Tsutsumi, HPC Applications for Manufacturing Innovation in Aerospace Fields,
The 23rd Workshop on Sustained Simulation Performance, March 16-17, Sendai, Invited, 2016ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]24,873.95

SORA-PP352,761.41

㻌

䠉㻝㻥㻥䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻤㻣㻚 㼂㻻㻲 ἲ䜢⏝䛔䛯ᖹ㠃ᾮ⭷䛾Ẽὶᚤ⢏໬⌧㇟䛾ᩘ್ゎᯒ㻌
Computational Fluid Dynamics for plane liquid sheets atomization phenomenon
caused by the current of air using the VOF method㻌 ஦ᴗᙧែ୍⯡◊✲㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᾆ୍ဴ(matsuura.kazuaki@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᥎㐍ᢏ⾡◊✲ࣘࢽࢵࢺ㸪㤳⸨ᬛኴ㑻(tomotaro.syutou.4v@stu.hosei.ac.jp)ᒣᮏ Ṋ(yamamoto.takeshi@jaxa.jp)㯮ἑせ἞(kuro@chofu.jaxa.jp)ᒣ⏣⚽ᚿ(deguchi.akira@jaxa.jp)∾⏣ගṇ(makida@chofu.jaxa.jp)ᰴᘧ఍♫࢚࢖࣭࢚ࢫ࣭࢔࢖⥲◊㸪୰ᮧ┤ᕫ(nakam@chofu.jaxa.jp)ᰴᘧ఍♫ᩘ್ࣇ࣮ࣟࢹࢨ࢖ࣥ㸪ᙇ ఍᮶(zhang@nufd.jp)ᰴᘧ఍♫ᩘ್ࣇ࣮ࣟࢹࢨ࢖ࣥ㸪㣤㔝 ῟(jiino@nufd.jp)㻌㻌 ஦ᴗࡢ┠ⓗᖹ㠃ᾮ⭷ᘧᚤ⢏໬䝜䝈䝹䛾ᐇ㦂䛻䜘䜚㞺ᅖẼᅽຊ䠈೫ྥ⩼ゅ䛻䜘䛳䛶ᚤ⢏໬≉ᛶ䛜ኚ໬䛩䜛䛣䛸䛜᫂䜙䛛䛻䛥䜜䛯䠊ᮏ஦ᴗ䛷䛿䠈ᐇ㦂䛷䛿 ᐃ䛜ᅔ㞴䛺ᄇᑕཱྀฟཱྀ㏆ഐ䛾ศ⿣ሙ䛻ᑐ䛧䛶ᩘ್ゎᯒ䜢ᐇ᪋䛧䠈ᚤ⢏໬䛾䝯䜹䝙䝈䝮䜢᫂䜙䛛䛻䛩䜛䛣䛸䛷䛒䜛䠊㻌 ஦ᴗࡢ┠ᶆᖹ㠃ᾮ⭷ᘧᚤ⢏໬䝜䝈䝹䛾ᐇ㦂䛻䛚䛔䛶ほᐹ䛥䜜䛯ᾮ⭷ᵓ㐀䛻ᑐ䛩䜛㞺ᅖẼᅽຊ䛾ᙳ㡪䜢 㼂㻻㻲 ἲ䜢⏝䛔䛯ᩘ್ゎᯒ䛻䜘䜚෌⌧䛧䠈䛭䛾⏕ᡂ䝯䜹䝙䝈䝮䜢᫂䜙䛛䛻䛩䜛䛣䛸䠊㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᐇ㦂䛻䛚䛔䛶ᄇᑕཱྀ䛛䜙㻟㻜㼙㼙ୗὶ䛻䛚䛔䛶 ᐃ䛥䜜䛶䛔䜛ᾮ⁲䛾䝄䜴䝍䞊ᖹᆒ⢏ᚄ䛿ᩘ㻝㻜䃛㼙䛾䜸䞊䝎䞊䛷䛒䜚䠈䛭䛾䜘䛖䛺ᾮ⁲䛾ศ⿣ሙ䛾ᩘ್ィ⟬䜢ᐇ᪋䛩䜛䛯䜑䛻䛿኱䛝䛟䛶䜒ᩘ䃛㼙䜸䞊䝎䞊䛾䝯䝑䝅䝳䛜ᚲせ䛸䛺䛳䛶䛟䜛䠊䛭䛾䜘䛖䛺኱つᶍ䛺ィ⟬䜢䝟䝷䝯䝖䝸䝑䜽䛻ᐇ᪋䛩䜛䛯䜑䛻䛿䝇䝟䝁䞁䛾฼⏝䛜ᚲせ୙ྍḞ䛸䛺䛳䛶䛟䜛䠊㻌 ௒ᖺᗘࡢᡂᯝ
ᄇᑕཱྀฟཱྀ㏆ഐ䛾ᾮ⭷ᵓ㐀䜢⢭ᗘ䜘䛟෌⌧䛷䛝䜛䠈ᑐὶ㡯䛾㞳ᩓ໬ᡭἲ䜢☜ㄆ䛧䛯䠊䠉㻞㻜㻜䠉

HPC@JAXA2015㻌㻌㻌㞺ᅖẼᅽຊ 03D     㞺ᅖẼᅽຊ 03D
ᅗ 1 ᅽຊ᮲௳ࡢ㐪࠸࡟ࡼࡿᾮ⭷ᵓ㐀ࡢẚ㍑
㸸Comparison of the liquid sheets structureby thedifference in pressure condition㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
500᫬㛫
ࢣ࣮ࢫᩘ㸸
16ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
144ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

3,328,960.07

183.05

㻌
㻌

㻌

䠉㻞㻜㻝䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻤㻤㻚㻌 ኱ᆺ㢼Ὕ䛻䛚䛡䜛ỗ⏝ 㻼㻵㼂 䝅䝇䝔䝮䛾㛤Ⓨ㻌
Development of Particle Image Velocimetry to Large-Scale Wind Tunnels
㻌 ஦ᴗᙧែJAXA ࣉࣟࢪ࢙ࢡࢺ㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪὾ᮏ ⁠(hamamoto.shigeru@jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪ຍ⸨⿱அ(kato.hiroyuki@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ✵ຊᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᑠụಇ㍜(koike.shunsuke@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ㢼Ὕヨ㦂࡟࠾࠸࡚㸪ඛ㐍ගᏛィ ᢏ⾡ࡢ୍ࡘ࡛࠶ࡿ㸪PIV ィ ᢏ⾡ࢆ㐺⏝ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ㢼Ὕ࣮ࣘࢨ࡟ᑐࡋ࡚㸪PIV ィ ࢆᐇ᪋ࡋ࡚㸪✵㛫㏿ᗘሙࢹ࣮ࢱࢆᥦ౪ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭ගᏛィ ࡛ྲྀᚓࡋࡓࢹ࣮ࢱ㸦୺࡟⏬ീࢹ࣮ࢱ㸧ࢆ㛗ᮇಖᏑࡍࡿࡓࡵࡢࢫࢺ࣮ࣞࢪ࡜ࡋ࡚㸪J-SPACEࢆ฼⏝ࡋ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᮏᖺᗘࡢ㢼Ὕヨ㦂࡛ྲྀᚓࡉࢀࡓ PIV ィ ࢹ࣮ࢱࢆ㛗ᮇಖᏑ⏝࡜ࡋ࡚ J-SPACE ࡟ಖ⟶ࡋࡓ㸬㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞 ͤࢫࢺ࣮ࣞࢪ฼⏝

㻌

㻌

䠉㻞㻜㻞䠉

HPC@JAXA2015㻌㻤㻥㻚㻌 ⮬ື㌴䜶䞁䝆䞁⇞↝ᐊ 㻟 ḟඖ 㻯㻲㻰 䝁䜰䝋䝣䝖䛾ᵓ⠏㻌
Development of 3D CFD Core Software for Automotive Engine Chamber㻌 ஦ᴗᙧែ
ཷク◊✲㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪⁁ῲὈᐶ(mizo@chofu.jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪༡㒊ኴ௓(nambu@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪⳻⏣ Ꮫ(MANABU_HISHIDA@mail.ryoyu.co.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪Ᏻ⏣❶ᝅ(shogo@chofu.jaxa.jp)ᰴᘧ఍♫⳻཭ࢩࢫࢸ࣒ࢬ㸪ඵⓒᐶᶞ(hiroki@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗ」㞧࡛⛣ືቃ⏺ࢆྵࡴᙧ≧࡟ᑐࡋ࡚ࡶ᱁Ꮚ⏕ᡂ㈇ⲴࡀᑠࡉࡃᏳᐃᛶࡢ㧗࠸ CFD ࢯࣝࣂࢆ㛤Ⓨࡋ㸪ᡃࡀᅜࡢ⮬ື㌴⏘ᴗඹ᭷ࡢࢥ࢔ࢯࣇࢺࢆࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ┤஺᱁Ꮚ+IB ἲ࡟ࡶ࡜࡙ࡁ㸪ࣅࢫࢺ࣭ࣥࣂࣝࣈࡢ⛣ືቃ⏺ࢆྲྀࡾᢅ࠺஦ࡢฟ᮶ࡿ 3DCFD ࢯࣝࣂࢆ㛤Ⓨࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࣉࣟࢢ࣒ࣛ㛤Ⓨ㸬኱つᶍィ⟬࡟ࡼࡿ᱁Ꮚゎീᗘ౫Ꮡᛶࡢ᳨ド㸬㻌 ௒ᖺᗘࡢᡂᯝ
STL ᙧ≧ࢹ࣮ࢱ࠿ࡽ࣓ࢵࢩࣗసᡂ࡞ࡋ࡟ὶືィ⟬ࢆᐇ⌧㸬䠉㻞㻜㻟䠉

HPC@JAXA2015㻌㻌
ᅗ 1 ⮬ື㌴࢚ࣥࢪࣥ⟄ෆᐃᖖὶືゎᯒ 㸸Steady State Flow Simulation of Automotive Engine Chamber㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸ࢣ࣮ࢫᩘ㸸ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸

200᫬㛫
10ࢣ࣮ࢫ
52ࣉࣟࢭࢫ
32ࢥ࢔
MPI
OpenMP
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ⳻⏣ ௚㸪➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘
2) ༡㒊 ௚㸪➨31ᅇ⏕◊TSFDࢩ࣏ࣥࢪ࣒࢘3) ⁁ῲ㸪⮬ື㌴ᢏ⾡఍➨12ᅇCFDᢏ⾡㒊㛛ጤဨ఍ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MA

ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]677,230.33

SORA-PP

27,835.16

䠉㻞㻜㻠䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻜㻚㻌 䝥䝻䝆䜵䜽䝖ᑐᛂゎᯒᨭ᥼䝅䝇䝔䝮䛾㛤Ⓨ㻌
Development of Analysis Support System Insuring Successful projecT: ASSIST㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦᝟ሗ໬㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯇᑿ⿱୍(matsuo@chofu.jaxa.jp)ᵓᡂဨ㸸⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᮧୖ᱇୍(murakami.keiichi@jaxa.jp)⯟✵ᢏ⾡㒊㛛 ᩘ್ゎᯒᢏ⾡◊✲ࣘࢽࢵࢺ㸪ᯘ ㅬྖ(khayashi@chofu.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗゎᯒᢏ⾡࣭ࢶ࣮ࣝ➼ࡢ◊✲㛤Ⓨᡂᯝࡢࣉࣟࢪ࢙ࢡࢺ㐺⏝ࡢຠ⋡໬࣭☜ᐇ໬࡟ࡼࡾ㸪◊✲㛤Ⓨࣉࣟࢭࢫࢆ㠉᪂ࡋ㸪ࣉࣟࢪ࢙ࢡࢺᴗົࡢຠ⋡໬࡜ಙ㢗ᛶྥୖ࡟㈨ࡍࡿ㸬ྠ᫬࡟ࢯࣇࢺࡢ㧗ᗘ໬࣭⤫ྜ໬ࢆ᥎㐍ࡋ㸪ୡ⏺ⓗ➇தຊࡢ࠶ࡿゎᯒࢯࣇࢺ࣭ࢶ࣮ࣝࡢ◊✲㛤Ⓨࢆᚋᢲࡋࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ◊✲㛤Ⓨάື࡛⏕ࡳฟࡉࢀࡓࢯࣇࢺ࢙࢘࢔࣭ᢏ⾡࣭ࣀ࢘ࣁ࣭࢘ࢹ࣮ࢱࡢຠ⋡ⓗ฼⏝࣭⵳✚/⥅ᢎࡢ௙⤌ࡳࢆ IT ᢏ⾡ࢆ⏝࠸࡚ᵓ⠏ࡋ㸪ゎᯒ➼࡟ࡼࡿࣉࣟࢪ࢙ࢡࢺᨭ᥼ࡢຠ⋡໬ࡸ㐺⏝⠊ᅖࡢᣑ኱ࢆᅗࡿ࡜࡜ࡶ
࡟㸪ࢯࣇࢺ࢙࢘࢔࣭ᢏ⾡࣭ࣀ࢘ࣁ࣭࢘ࢹ࣮ࢱࡢ᭷ຠά⏝ࢆಁ㐍ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
JAXAࣉࣟࢪ࢙ࢡࢺ࡟ᑐᛂࡋࡓゎᯒࡣ㸪⯟✵ᶵ඲ᶵ࿘ࡾࡢẼὶゎᯒ࡟ࡼࡿ✵ຊ≉ᛶ᥎⟬࡞࡝኱つᶍ࡛ከᩘࡢゎᯒࢣ࣮ࢫᩘࢆせࡍࡿࡶࡢࡀከࡃ㸪ࢫࣃࢥࣥࢆ฼⏝ࡋ࡞ࡅࢀࡤ㎿㏿࡞ᑐᛂࡀ୙ྍ⬟࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
-SS2࣓࢖ࣥࢩࢫࢸ࣒MAᑐᛂCFDゎᯒᐇ⾜࣮࣡ࢡࣇ࣮ࣟࢆ㛤Ⓨࡋ㸪JAXAࢫࣃࢥࣥSORA࡬ࡢ᏶඲ᑐ
ᛂࡀ᏶஢ࡋࡓ㸬䠉㻞㻜㻡䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 JSS2ᑐᛂCFDゎᯒᐇ⾜࣮࣡ࢡࣇ࣮ࣟ
㸸Work Flow of CFD Calculation for JSS2㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
2᫬㛫
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸32ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣࡑࡢ௚1) JAXA ᝟ሗ໬࢚ࣥࢪࢽ࢔ࣜࣥࢢ⣔ศ⛉఍ᖹᡂ27ᖺᗘሗ࿌᭩
ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

817.78

10.09

㻌

䠉㻞㻜㻢䠉

SORA-LM

51.47

SORA-TPPHPC@JAXA2015㻌㻥㻝㻚㻌㻶㻭㼄㻭 䝇䞊䝟䞊䝁䞁䝢䝳䞊䝍䛾㐠Ⴀ䠄ゅ⏣䠅㻌
Investigation on Small-scale Scalar Mixing in High Reynolds Number Turbulent Jets㻌 ஦ᴗᙧែ
ࡑࡢ௚㸦ࢫࣃࢥࣥ฼⏝ᨭ᥼㸧㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸◊✲㛤Ⓨ㒊㛛 ➨ᅄ◊✲ࣘࢽࢵࢺ㸪బ⸨ ⱱ(sato.shigeru㸾jaxa.jp)ᵓᡂဨ㸸ᰴᘧ఍♫᪥❧ࢯ࣮ࣜࣗࢩࣙࣥࢬᮾ᪥ᮏ㸦ゅ⏣ᅾ໅㸧㸪㧗ᶫṇᬕ(takahashi.masaharu@jaxa.jp)ᰴᘧ఍♫᪥❧ࢯ࣮ࣜࣗࢩࣙࣥࢬᮾ᪥ᮏ㸦ゅ⏣ᅾ໅㸧㸪Ώ㑓Ꮥᏹ(takahashi.masaharu@jaxa.jp)ᰴᘧ఍♫᪥❧ࢯ࣮ࣜࣗࢩࣙࣥࢬᮾ᪥ᮏ㸦ゅ⏣ᅾ໅㸧㸪᐀ീ฼ᙪ(munakata.toshihiko@jaxa.jp)ᰴᘧ఍♫ࢫ࣮࣌ࢫࢧ࣮ࣅࢫ㸦ゅ⏣ᅾ໅㸧㸪⚟஭ṇ᫂(fukui.masaaki@jaxa.jp)㻌 ஦ᴗࡢ┠ⓗゅ⏣Ᏹᐂࢭࣥࢱ࣮࡟࠾ࡅࡿ JAXA ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱ฼⏝⪅࡬ࡢᨭ᥼ᴗົ㸬㻌 ஦ᴗࡢ┠ᶆゅ⏣Ᏹᐂࢭࣥࢱ࣮࡟࡚◊✲⪅ࡽ࡟ࡼࡾ⾜ࢃࢀ࡚࠸ࡿྛ✀ࢩ࣑࣮ࣗࣞࢩࣙࣥ➼㸪JAXA ࢫ࣮ࣃ࣮ࢥࣥࣆ
࣮ࣗࢱ฼⏝࡬ࡢᢏ⾡ᨭ᥼ࢆ⾜࠸㸪◊✲ࡢቑ㐍࡟㈉⊩ࡍࡿࡇ࡜㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
JAXAࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࢆ฼⏝ࡍࡿ◊✲⪅ࡢᡂᯝቑ㐍㸬㻌 ௒ᖺᗘࡢᡂᯝ
ゅ⏣Ᏹᐂࢭࣥࢱ࣮࡟࠾ࡅࡿࢫࣃࢥࣥ฼⏝⪅㸦㐲㝸฼⏝㸧ࡢᨭ᥼ࢆ⾜ࡗࡓ㸬ᑦ㸪ᙜ஦ᴗࡣᇶᮏⓗ࡟◊✲⪅ࡽ࡬ࡢᨭ᥼࡛࠶ࡿⅭ㸪ྛ◊✲➼ࡢᡂᯝࡣࢫࣃࢥࣥ฼⏝◊✲⪅ࡽࡼࡾⅭࡉࢀࡿ㸬㻌㻌

ᅗ1 ࢫࢡ࣒ࣛࢪ࢙ࢵࢺ࢚ࣥࢪࣥCFD୕ḟඖྍど໬⤖ᯝࢆ୕ḟඖࣉࣜࣥࢱ࡟࡚ฟຊᨭ᥼㸸Support for scramjet engine CFD 3D visualization by means of 3D printer

㻌
䠉㻞㻜㻣䠉

HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
 ̿
ࢣ࣮ࢫᩘ㸸
 ̿
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸 ̿ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸  ̿ࣉࣟࢭࢫ୪ิᡭἲ㸸 ̿ࢫࣞࢵࢻ୪ิᡭἲ㸸 ̿฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㸪SORA-LM㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]3,623.60

SORA-PP

33,890.06

㻌
㻌

㻌

䠉㻞㻜㻤䠉

SORA-LM

9.46

SORA-TPPHPC@JAXA2015㻌㻥㻞㻚㻌 ㉸㡢㏿㣕⾜య࿘䜚䛾ᅽຊሙィ⟬ཬ䜃✵ຊᛶ⬟ホ౯㻌 㻌㻌㻌

Aerodynamics performance evaluation and pressure signature calculation
around supersonic flight model㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ྡྂᒇ኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲⛉ ⯟✵ᏱᐂᕤᏛᑓᨷ㸪బ᐀❶ᘯ(sasoh@nuae.nagoya-u.ac.jp)ᵓᡂဨ㸸ྡྂᒇ኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲⛉ ⯟✵ᏱᐂᕤᏛᑓᨷ㸪ᒾᕝ ㍤(iwakawa@nuae.nagoya-u.ac.jp)
ྂᕝ኱㈗(furukawa@fuji.nuae.nagoya-u.ac.jp)                   㟷ᮌຬ☻(aoki@fuji.nuae.nagoya-u.ac.jp)㻌 ஦ᴗࡢ┠ⓗࢯࢽࢵࢡࣈ࣮࣒◊✲࡟࠾࠸࡚㸪ᶵయ㏆ഐࡢᅽຊἼࢆṇࡋࡃホ౯ࡍࡿࡓࡵ㸪࢚࢔ࣟࣂࣜࢫࢸ࢕ࢵࢡࣞࣥ
ࢪࢆ⏝࠸ࡓ3ḟඖᙧ≧ᶍᆺࡢ⮬⏤㣕⾜ᐇ㦂ࢆ⾜࠸㸪㏆ഐᅽຊἼࡢィ ࢆ⾜࠺㸬ࡇࡢ㝿㸪ᩘ್ࢩ࣑࣮ࣗࣞࢩ
ࣙࣥ࡟ࡼࡗ࡚ᐇ㦂࡟⏝࠸ࡿᶍᆺࡢຍᕤ⢭ᗘࡀᅽຊἼ࡟୚࠼ࡿᙳ㡪ࢆホ౯ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆపࣈ࣮࣒ᙧ≧ࡸపࣈ࣮࣒໬ࡢᡭἲ࡟ࡘ࠸࡚㸪ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥཬࡧ⮬⏤㣕⾜ᐇ㦂ࢆ⤌ࡳྜࢃࡏࡓ
᪉ἲ࡟ࡼࡾ㸪⢭ᗘࡼࡃᐇドࡋ㸪ప㦁㡢㉸㡢㏿᪑ᐈᶵࡢ㛤Ⓨ࡟ྥࡅࡓࢯࢽࢵࢡࣈ࣮࣒పῶࡢᡭἲࢆ☜❧ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
࢚࢔ࣟࣂࣜࢫࢸ࢕ࢵࢡࣞࣥࢪ࡛ࡣヨ㦂ᶵయࢆ⮬⏤㣕⾜ࡉࡏࡿࡓࡵ㸪ᶵయࡢጼໃཬࡧ㣕⾜⤒㊰ࡢไᚚࡀᅔ㞴࡛࠶ࡿ㸬ࡑࡢࡓࡵ㸪⌮᝿ⓗ࡞㣕⾜࠿ࡽࡢጼໃࡸ⤒㊰ࡢࡎࢀࡀᅽຊሙ࡟୚࠼ࡿᙳ㡪ࢆ㸪ᐇ㦂࡜ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࡢẚ㍑࡟ࡼࡾホ౯ࡍࡿᙺ๭ࡀ࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
Busemann ࡟ࡼࡗ࡚ᥦၐࡉࢀࡓపࣈ࣮࣒ᡭἲࡢ 1 ࡘ࡛࠶ࡿ」ⴥ⩼ᙧ≧࡟ࡘ࠸࡚㸪ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙ
ࣥࢆᐇ᪋ࡋ㸪㏆ഐሙᅽຊἼᙧࢆྲྀᚓࡋࡓ㸬ࡇࡢ⤖ᯝ࠿ࡽ㸪⮬⏤㣕⾜ᐇ㦂࡛౑⏝ࡍࡿᶍᆺ࡟ࡘ࠸࡚㸪ຍᕤ㝈⏺ࢆ⪃៖ࡋࡓᶍᆺࡢᅽຊሙࡢホ౯ࡀྍ⬟࡜࡞ࡗࡓ㸬䠉㻞㻜㻥䠉

HPC@JAXA2015
㻌ᅗ1 CFDࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾᚓࡽࢀࡓ㏆ഐሙᅽຊἼᙧ
㸸Near-field pressure signature obtained from CFD simulation㻌ᅗ 2 ᅽຊಀᩘࢥࣥࢱ࣮
㸸Pressure coefficient contour image㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
20᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸24ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 2ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㸪SORA-LM䠉㻞㻝㻜䠉HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ྂᕝ኱㈗㸪㟷ᮌຬ☻㸪ᒾᕝ ㍤㸪బ᐀❶ᘯ㸪㇏⏣ ⠜͆㉸㡢㏿」ⴥ⩼ᶵࡢ⮬⏤㣕⾜ᐇ㦂͇➨47ᅇὶయ
ຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸪ᮾி㸪2015ᖺ7᭶㸬2) D. Furukawa, Y. Aoki, A. Iwakawa, A. Sasoh, “Free Flight Measurement of Supersonic Biplane
using Aeroballistic Range,” 30th International Symposium on Space Technology and Science, Jul.
2015, Kobe, Japan.
3) ྂᕝ኱㈗㸪㟷ᮌຬ☻㸪ᒾᕝ ㍤㸪బ᐀❶ᘯ͆▴ᙧ᩿㠃ࣂࣜࢫࢸ࢕ࢵࢡࣞࣥࢪࢆ฼⏝ࡋࡓ㉸㡢㏿」ⴥ⩼ᶵࡢ㏆ഐᐦᗘ࣭ᅽຊሙィ ᐇ㦂͇ ➨53ᅇ㣕⾜ᶵࢩ࣏ࣥࢪ࣒࢘㸪ᯇᒣ㸪2015ᖺ11᭶㸬ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]8,429.53

SORA-PP

28,921.77

㻌

䠉㻞㻝㻝䠉

SORA-LM

2,124.77

SORA-TPPHPC@JAXA2015㻌㻥㻟㻚㻌 㣕⩧య䛾✵ຊ䞉ᵓ㐀䞉㣕⾜ຊᏛ㐃ᡂゎᯒ䛻㛵䛩䜛◊✲㻌
Study on Aerodynamics, Aeroelasticity and Flight Dynamics Coupled Simulations of a Projectile㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ᶓ὾ᅜ❧኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲㝔㸪ᐑ㊰ᖾ஧(miyaji@ynu.ac.jp)㻌 ஦ᴗࡢ┠ⓗ
JAXA࡛㛤Ⓨࡀ㐍ࡵࡽࢀ࡚࠸ࡿண෭ࢱ࣮࣎ࢪ࢙ࢵࢺ࢚ࣥࢪࣥࡢ㣕⾜ヨ㦂ᶵయタィࡢࡓࡵ㸪CFD࡟ࡼࡿ✵ຊゎᯒ㸪㣕⾜㌶㐨ゎᯒ㸪࠾ࡼࡧ✵ຊᙎᛶゎᯒࢆ⾜࠺㸬㧗㧗ᗘẼ⌫ࢆ⏝࠸࡚㧗ᗘ40km࠿ࡽࡢⴠୗࢆ฼⏝ࡍࡿࡓࡵ㸪ᖜᗈ࠸Ẽὶ᮲௳࡟ᑐࡋ࡚㸪඲ᶵࢆᛅᐇ࡟෌⌧ࡋࡓὶࢀࡢᩘ್ゎᯒࡀᚲせ࡛࠶ࡿ㸬㣕⾜㌶㐨࡟ཬࡰࡍ✵ຊಀᩘ㸪ึᮇጼໃゅ㸪㔜ᚰ఩⨨➼ࡢ୙☜࠿ࡉࡢᙳ㡪ࢆㄪ࡭ࡿࡓࡵ࡟㸪ࣔࣥࢸ࢝ࣝࣟࢩ࣑࣮ࣗࣞ
ࢩࣙࣥࢆ⾜࠸㸪㧗ᗘ5km࡛ࡢᶵయ఩⨨㸪ጼໃ㸪㣕⾜࣐ࢵࣁᩘࡢศᩓࢆᚓࡓ㸬㻌 ஦ᴗࡢ┠ᶆḟୡ௦ࡢ⯟✵Ᏹᐂ㍺㏦ᶵࡢ୺せㄢ㢟ࡢ1ࡘ࡛࠶ࡿ࢚ࣥࢪࣥ㛤Ⓨ࡟㈉⊩ࡍࡿࡓࡵ࡟㸪Ᏻᐃࡋࡓᐇ㣕⾜ヨ㦂ࡀྍ⬟࡞ᶵయᙧ≧ࢆỴᐃࡍࡿࡇ࡜ࡀ┠ᶆ࡛࠶ࡿ㸬ࡲࡓ㸪CFD✵ຊᛶ⬟ゎᯒ࡟ᇶ࡙ࡃ㣕⾜ヨ㦂ࢆィ⏬ࡍࡿࡓࡵ࡟㸪ᵝࠎ࡞୙☜࠿ࡉࢆ⪃៖ࡋࡓ㐃ᡂゎᯒࢆ⾜࠸㸪ࢩ࣑࣮ࣗࣞࢩࣙࣥࡢಙ㢗ᛶࢆ㧗ࡵࡿࡇ࡜ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
CFD㸪࠾ࡼࡧ✵ຊᙎᛶゎᯒࡢᐇ⾜࡟㸪ࢫࣃࢥࣥࡣ୙ྍḞ࡛࠶ࡿ㸬◊✲ᐊ࡛ࣞ࣋ࣝ⌧≧฼⏝ྍ⬟࡞ィ⟬ᶵ࡛ࡣ㸪࣓ࣔࣜᐜ㔞ࡼࡾࡶィ⟬᫬㛫ࡀၥ㢟࡜࡞ࡿࡇ࡜ࡀከࡃ㸪኱つᶍ୪ิ࡟ࡼࡿ㧗㏿໬ࡀྍ⬟࡞ࢫࣃࢥࣥࡀᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
௒ᖺᗘࡣ㸪ゎᯒᐇ⦼ࡢ㇏ᐩ࡞᭷㝈య✚ἲ CFD ࢆ⏝࠸࡚㸪ᐇᶵయࡢ✵ຊᶓ≉ᛶࡢྲྀᚓ࡟ὀຊࡋࡓ㸬๓ᖺᗘࡲ࡛࡟ᚓࡽࢀ࡚࠸ࡓ⦪≉ᛶ࡟ຍ࠼࡚㸪ᖜᗈ࠸Ẽὶ࣐ࢵࣁᩘ࡜ᶓ⁥ࡾゅ࡟࠾ࡅࡿ✵ຊ≉ᛶࢆᚓࡿࡇ࡜࡛㸪
CFD ࡢ✵ຊࢹ࣮ࢱ࣮࣋ࢫࢆ⏝࠸ࡓ㣕⾜㌶㐨ண ࡀྍ⬟࡜࡞ࡗࡓ㸬㢼Ὕヨ㦂⤖ᯝ࡜ẚ㍑ࡍࡿࡇ࡜࡛✵ຊಀᩘࡢࡤࡽࡘࡁ㸦୙☜࠿ࡉ㸧ࢆ᥎ᐃࡋ㸪ࡲࡓ㸪ึᮇᶵయጼໃ㸪㔜ᚰ఩⨨ࡢ୙☜࠿ࡉࡶ⪃៖ࡋ࡚㸪භ⮬⏤ᗘ㐠ື᪉⛬ᘧ࡟ࡼࡾ㣕⾜㌶㐨ࢆồࡵࡓ㸬ࣔࣥࢸ࢝ࣝࣟࢩ࣑࣮ࣗࣞࢩࣙࣥࡢ⤖ᯝࡼࡾ㸪㣕⾜࣐ࢵࣁᩘ࡜㣕⾜㧗ᗘࡢ᫬㛫ᒚṔࡢศᩓࡣᑠࡉ࠸ࡶࡢࡢ㸪ࣃࣛࢩ࣮ࣗࢺ㛤ചࢆ᝿ᐃࡍࡿ㧗ᗘ 5km 㠃ࡢ㏻㐣఩⨨ࡣ㸪ษࡾ㞳ࡋ఩⨨ࢆ୰ᚰ࡜ࡍࡿྠᚰ෇ୖ࡟ศᕸࡋࡓ㸬ึᮇᶓ⁥ࡾゅࡢศᩓࡀ 2r࡜ẚ㍑ⓗ኱ࡁ࡞ሙྜࡣ㸪ࣀ࣑ࢼࣝ㌶㐨࠿ࡽ 180rࡎࢀࡓ㏫఩⨨࡟ࡶᗘᩘศᕸࡢࣆ࣮ࢡࢆᣢࡘ⤖ᯝ࡜࡞ࡗࡓ㸬䠉㻞㻝㻞䠉

HPC@JAXA2015
㻌

㻌

㻌

㻌
ᅗ1 ᶵయࡢἲ⥺᪉ྥ✵Ẽຊࡢ࣐ࢵࣁᩘ, ㏄ゅ౫Ꮡᛶ㸦ୖ㸸CFD㸪ୗ㸸㢼Ὕヨ㦂㸧
㸸Mach-number & A.O.A-dependencies of aerodynamic normal-axis forces(Upper: CFD, Lower: Wind-tunnel test)㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
5᫬㛫
ࢣ࣮ࢫᩘ㸸
80ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
64ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㸪SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) Vilem Skarole, Koji Miyaji, “Numerical Simulation of Transitional Flow Past a Wing Using Flux
Reconstruction Method,” AIAA Journal, in press, http://arc.aiaa.org/doi/abs/10.2514/1.J054324

䠉㻞㻝㻟䠉

HPC@JAXA2015
㻌ᰝㄞ࡞ࡋㄽᩥ
2) Kao Ito, Koji Miyaji, Yasumi Kawamura, Yusuke Maru, Kazuhisa Fujita, and Shujiro Sawai,“Study on Numerical Analysis of the Aerodynamic Characteristics and the Flight Trajectory of
Balloon-based Operation Vehicle,” Asia Pacific International Symposium on Aerospace Technology,
25-27 November 2015.
ཱྀ㢌Ⓨ⾲3) ∦ᒣ 㝧㸪ᐑ㊰ᖾ஧㸪ࠕ㧗ḟ⢭ᗘὶ᮰෌ᵓ⠏ἲࢆ⏝࠸ࡓ NACA0012 ⩼➃ࡲࢃࡾ㠀ᐃᖖὶゎᯒࠖ㸪➨ 47 ᅇὶయຊᏛㅮ₇఍/➨ 33 ᅇ ANSS㻌ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]122,317.76

SORA-PP

30,596.96

䠉㻞㻝㻠䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻠㻚㻌 Ỉᫍ䛾ᮦᩱ≀㉁䛾㉳※䠈⇕ྐ䠈䛚䜘䜃☢ሙ⏕ᡂ㻌
Origin of material substance, thermal history and magnetic field generation of Mercury㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸໭ᾏ㐨኱Ꮫ኱Ꮫ㝔 ⌮Ꮫ㝔 Ᏹᐂ⌮Ꮫ㸪಴ᮏ ᆂ(keikei@ep.sci.hokudai.ac.jp)ᵓᡂဨ㸸ᮾிᕤᴗ኱Ꮫ ELSI㸪ᮌᮧ ῟(junkim@elsi.jp)ி㒔኱Ꮫ ኱Ꮫ㝔⌮Ꮫ◊✲⛉ ᩘᏛᩍᐊ㸪బࠎᮌὒᖹ(uwabami@math.kyoto-u.ac.jp)㻌 ஦ᴗࡢ┠ⓗ࣐ࣥࢺࣝ࡜᰾ࡢ⤌ᡂࡀᆅ⌫࡜␗࡞ࡿྍ⬟ᛶࢆ⪃៖ࡋࡓỈᫍࡢ⇕ྐ࡜㔠ᒓ᰾ࡢ㐍໬࠾ࡼࡧᅛ᭷☢ሙ⏕ᡂࡢᩘ್ⓗゎᯒࢆ⾜࠸㸪Ỉᫍࡢᅛ᭷☢ሙࡢ㉳※࡟ࡘ࠸࡚Ỉᫍࡢ≀㉁⛉Ꮫⓗ≉ᚩ࡜ࡑࢀࡀࡶࡓࡽࡍ45 ൨ᖺ㛫ࡢ⇕ྐ࡬ࡢ࢖ࣥࣃࢡࢺ࡟ᐦ᥋࡟㛵㐃࡙ࡅ᳨࡚ウࡍࡿ㸬Messenger ࠿ࡽᚓࡽࢀࡓ▱ぢ࡜௒ᖺᡴࡕୖࡆࡀண
ᐃࡉࢀ࡚࠸ࡿBepi ColomboࡢᚓࡿỈᫍࡢ☢ሙ㸪⾲㠃⤌ᡂ㸪㔜ຊ➼ࡢ᪂ࡋ࠸᥈ᰝࢹ࣮ࢱࡢ⤫ྜⓗ࡞ゎ㔘࡟ᐤ୚ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ᥎ᐃ⤌ᡂ࠿ࡽண᝿ࡉࢀࡿ࣐ࣥࢺࣝ⢓ᛶ⋡࡜᰾ࡢ⼥ゎ≉ᛶࢆ୚࠼ࡓỈᫍࡢ⇕ྐ࠾ࡼࡧ᰾ࡢ෭༷ྐࡢᩘ್
ィ⟬ࢆ⾜࠸㸪⌧ᅾࡢ࣐ࣥࢺࣝ࡜᰾ࡢ≀⌮≧ែࢆࡑࡢ⤌ᡂ౫Ꮡᛶࢆᢕᥱࡋࡘࡘ᫂ࡽ࠿࡟ࡍࡿ㸬 ࡲࡓ, ⇕ྐィ⟬࠿ࡽᚓࡽࢀࡿ᰾ࡢᵓ㐀࡜⇕࣭ᾋຊࣇࣛࢵࢡࢫࢆ୚࠼ࡓỈᫍ᰾ࢲ࢖ࢼࣔࡢホ౯ࢆ⾜࠺㸬⇕࣭ᾋຊࣇࣛ
ࢵࢡࢫ࡜ᾮయ᰾ࡢཌࡉࡀ☢ሙࡢᙉᗘ࡜ᙧ࡟࡝ࡢࡼ࠺࡟ᙳ㡪ࡍࡿ࠿ࢆ᫂ࡽ࠿࡟ࡍࡿࡇ࡜࡟ࡼࡗ࡚㸪᪂ࡋ࠸☢ሙ㸪⾲㠃⤌ᡂ㸪㔜ຊ➼ࡢ✀ࠎ᥈ᰝࢹ࣮ࢱࢆ᭷ᶵⓗ࡟⤖ྜࡉࡏ㸪Ỉᫍෆ㒊ࡢ≀⌮≧ែ࡜45 ൨ᖺࡢ⇕ྐࢆไ⣙ࡍࡿࡇ࡜࡟ᐤ୚ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭ᅇ㌿⌫Ẇ୰ࡢ࣐ࣥࢺࣝᑐὶ࠾ࡼࡧࢲ࢖ࢼࣔస⏝ࡣᙉ㠀⥺ᙧ⣔࡛࠶ࡾ㸪ࡑࡢᵝ┦ࢆ⌮ゎࡍࡿࡓࡵ࡟ࡣ኱つᶍ࡞ᩘ್ィ⟬ࡀᚲせ୙ྍḞ࡛࠶ࡿ㸬ࡲࡓ㸪኱つᶍ࡞ࢫ࣮࢝ࣛ୪ิィ⟬ᶵࢩࢫࢸ࣒ࡣ᫖௒ࡢὶ⾜࡛ࡶ࠶ࡾ㸪ᩘ್ࣔࢹࣝࡢ㛤Ⓨ࠾ࡼࡧ୪ิᛶ⬟ࡢ☜ㄆࡢࡓࡵ࡟ࡶ㸪JSSࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࢩࢫࢸ࣒ࡢ฼⏝ࡣḞ࠿ࡍࡇ࡜ࡢ࡛ࡁ࡞࠸ᙺ๭ࢆᢸࡗ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᮏᖺᗘࡣ㸪᫖ᖺᗘ࡟ᘬࡁ⥆ࡁ⌫Ẇ☢Ẽὶయࡢᩘ್ࣔࢹࣝࡢ୪ิ໬࠾ࡼࡧᛶ⬟ྥୖࢆ⾜࡞ࡗࡓ㸬㐣ᖺᗘࡲ࡛㛤ⓎࡋᨵⰋࢆ㔜ࡡ࡚ࡁࡓᩘ್ィ⟬⏝ࡢࣛ࢖ࣈࣛࣜࡣOpenMP࡛ࡢ୪ิ໬ຠ⋡ࡣ༑ศ࡛࠶ࡿ
ࡶࡢࡢ㸪MPI࡜⤌ࡳྜࢃࡏࡓ㸪࠸ࢃࡺࡿࣁ࢖ࣈࣜࢵࢻ୪ิ࡟㛵ࡋ࡚ࡢ୪ิ໬ຠ⋡ࡣࡑࢀ࡯࡝Ⰻዲ࡛ࡣ࡞
࠿ࡗࡓ(◊✲ᡂᯝ2)㸬ࡇࢀࢆᨵⰋࡍࡿࡓࡵ࡟㸪୪ิィ⟬⏝ࡢ࢔ࣝࢦࣜࢬ࣒ࢆぢ┤ࡋࡘࡘࣉࣟࢢ࣒ࣛ⩌࡟ᑐࡋ࡚඲㠃ⓗ࡞ᨵኚࢆ⾜࡞ࡗࡓ㸬⤖ᯝ࡜ࡋ࡚୪ิ໬ຠ⋡ࡣ኱ᖜ࡟ᨵၿࡉࢀࡓࡶࡢࡢ㸪ᇶ┙㒊ศࡢಟṇ࡟ࡼࡗ࡚඲యࡢࣉࣟࢢ࣒ࣛࡢᨵኚࡀᚲせ࡜࡞ࡗࡓࡓࡵ㸪⛉Ꮫⓗ࡟ព⩏ࡢ࠶ࡿィ⟬ࢆᮇ㝈ෆ࡟㐙⾜ࡍࡿࡇ࡜ࡣ
ᅔ㞴࡛࠶ࡗࡓ㸬䠉㻞㻝㻡䠉

HPC@JAXA2015㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
_
ࢣ࣮ࢫᩘ㸸
_
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸_ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸_ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MAᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) Kimura, J., Kitadai, N., Polymerization of building blocks of life on Europa and other icy moons,
Astrobiology 15, 430-441, doi:10.1089/ast.2015.1306, 20152) Matsui, H., Heien, E., Aubert, J., ... Y. SASAKI., ... and 34 coauthors, 2016: Performancebenchmarks for a next generation numerical dynamo model, Geochemistry, Geophysics,
Geosystem, doi:10.1002/2015GC006159
3) Kamata, S., S. Sugita, Y. Abe, Y. Ishihara, Y. Harada, T. Morota, N. Namiki, T. Iwata, H. Hanada,
H. Araki, K. Matsumoto, E.Tajika, K. Kuramoto, and F. Nimmo, The relative timing of Lunar
Magma Ocean solidification and the Late Heavy Bombardment inferred from highly degraded
impact basin structures, Icarus, 250, 492-503, doi:10.1016/j.icarus.2014.12.025, 2015ᰝㄞ࡞ࡋㄽᩥ
4) Daiki Muto, Nobuyuki Tsuboi, Hiroshi Terashima, Characteristics of Jet-Mixing at Supercritical
Pressure for Coaxial Rocket Injector Design, 30th International Symposium on Space Technology
and Science, 2015-a-40, Kobe, Japan, July 2015
5) Daiki Muto, Nobuyuki Tsuboi, Hiroshi Terashima, Effects of the Recess Length on Supercritical Jet
Mixing of Co-planar/axial Injectors, 6th European Conference forAeronautics and Space
Sciences(EUCASS 2015), No. 487, 2015.6.
ཱྀ㢌Ⓨ⾲6) Sasaki and Takehiro, S.-I. 2015: Penetration of magneto-hydrodynamic disturbances into astrongly stable outer layer caused by MHD dynamo in a rotating spherical shell, Japan SEDI
symposium 2015.
7) బࠎᮌὒᖹ㸪➉ᗈ┿୍㸪2015ᅇ㌿⌫Ẇࢲ࢖ࢼࣔ࡟ࡼࡾᘬࡁ㉳ࡇࡉࢀࡿ☢Ẽὶయᨐ஘ࡢᙉ࠸Ᏻᐃᡂᒙ࡬
ࡢ㈏ධ᪥ᮏᆅ⌫ᝨᫍ⛉Ꮫ㐃ྜ 2015 ᖺ኱఍8) JpGU Meeting 2015, Chiba, May 2015, "Interior evolution of Ganymede and its surface
manifestation: toward JUICE measurements".
9) Astrobiology Science Conference 2015, Chicago, June 2015, "Stability of an internal ocean in
Ganymede"
10) AOGS 2015 Annual Meeting, Sißngapore, Aug 2015, "Tidal deformation of Ganymede and effects ofa subsurface ocean: a model calculation in preparation for JUICE-GALA measurements"
11) Planet and satellite system workshop, Chiba, September 2015, "Divergent history between
Ganymede and Callisto"
12) JSPS 2015 Fall Meeting, Tokyo, October 2015, "Science objectives of the Ganymede Laser
Altimeter (GALA) onboard JUICE spacecraft"䠉㻞㻝㻢䠉HPC@JAXA2015
13) JUICE/GALA meeting 2015, Berlin, November 2015, "Primordial hydrous model for Ganymede
might explain a formation of extensional groove and metallic core"14) 8th Japan Astrobiology Network Workshop, Tokyo, November 2015, "Toward characterization of
extra-terrestrial deep water world and its habitability using computational approach andspacecraft exploration".
15) AGU Fall Meeting 2015, SanFrancisco, December 2015, "Long-term stability of a subsurface ocean
in Ganymede and its effect to tidal response, toward future altimetry measurement"ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]15.50

SORA-PP䠉㻞㻝㻣䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻡㻚㻌 ከ┠ⓗ✵ຊタィၥ㢟䛻㛵䛩䜛◊✲㻌
Multiobjective design exploration for Aerodynamic Optimization㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸஑ᕞᕤᴗ኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲㝔 ᶵᲔ▱⬟ᕤᏛ◊✲⣔ ᏱᐂᕤᏛ㒊㛛㸪⡿ᮏᾈ୍(yonemoto@mech.kyutech.ac.jp)ᵓᡂဨ㸸஑ᕞᕤᴗ኱Ꮫ኱Ꮫ㝔 ᕤᏛᗓ ᶵᲔ▱⬟ᕤᏛᑓᨷ㸪ᒣᓮ⿱ྖ(n344156h@mail.kyutech.jp)஑ᕞᕤᴗ኱Ꮫ኱Ꮫ㝔 ᕤᏛᗓ ᶵᲔ▱⬟ᕤᏛᑓᨷ㸪ᕷẟඃᬛ(o344105m@mail.kyutech.jp)஑ᕞᕤᴗ኱Ꮫ኱Ꮫ㝔 ᕤᏛᗓ ᶵᲔ▱⬟ᕤᏛᑓᨷ㸪ᾆ ඃ௓(o344107y@mail.kyutech.jp)

㻌 ஦ᴗࡢ┠ⓗ
JAXA/ISAS࡛ࡣ㸪ⅆᫍ」ྜ᥈ᰝ࣑ࢵࢩࣙࣥ࡟࠾࠸࡚⯟✵ᶵ࡟ࡼࡿⅆᫍࡢ㣕⾜᥈ᰝࢆ᳨ウࡋ࡚࠾ࡾ㸪஑ᕞᕤᴗ኱Ꮫࡣⅆᫍ᥈ᰝ⯟✵ᶵࡢ✵ຊタィࢆᢸᙜࡋ࡚࠸ࡿ㸬ⅆᫍ⎔ቃୗ࡟࠾࠸࡚᪤Ꮡ⩼ᆺࡀᡤᮃࡢ✵ຊ≉ᛶࢆ‶ࡓࡍࡇ࡜ࡣᅔ㞴࡛࠶ࡿࡓࡵ㸪ⅆᫍ㣕⾜⎔ቃ࡟࠾࠸࡚㧗࠸✵ຊᛶ⬟ࢆ᭷ࡍࡿ⩼ᆺࢆタィࡍࡿᚲせࡀ࠶ࡿ㸬ࡑࡢࡓࡵ㸪ᮏ஦ᴗ࡛ࡣ㐍໬࢔ࣝࢦࣜࢬ࣒࡜ᩘ್ὶయຊᏛࢆ⤌ࡳྜࢃࡏ࡚タィせồࡢ✵ຊ≉ᛶࡀᚓࡽࢀࡿ⩼ᆺࢆタィ᥈⣴ࡋ㸪ⅆᫍ᥈ᰝ⯟✵ᶵࡢᐇ⌧࡟㈨ࡍࡿ஦ࢆ┠ⓗ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆⅆᫍ᥈ᰝ⯟✵ᶵࡢ୺⩼⩼ᆺ࡟▼஭⩼ᆺࢆ⏝࠸ࡓタィ᳨ウࡀ⾜ࢃࢀࡓ㸬ࡋ࠿ࡋ㸪ⅆᫍ᥈ᰝ⯟✵ᶵࡢᐇ⌧࡟ࡣ㸪▼஭⩼ᆺࡢ᭱኱ᥭᢠẚࢆ20%௨ୖྥୖࡋࡓ⩼ᆺࡀᚲせ࡛࠶ࡿࡇ࡜ࡀุ᫂ࡋ࡚࠸ࡿ㸬ࡇࢀࡲ࡛ᮏ◊✲ࢢ࣮ࣝࣉ࡛ࡣ㸪㑇ఏⓗ࢔ࣝࢦࣜࢬ࣒࡜ᩘ್ὶయຊᏛࢆ⏝࠸ࡓⅆᫍ᥈ᰝ⯟✵ᶵ୺⩼⩼ᆺࡢከ┠ⓗタィ᥈⣴ࢆᐇ᪋ࡋ࡚ࡁࡓ㸬పࣞ࢖ࣀࣝࢬᩘ㡿ᇦ࡟࠾࠸࡚㧗ᥭᢠẚࢆᣢࡘ⩼ᆺࢆྲྀᚓࡋ㸪ศᯒࡍࡿࡇ࡜࡟ࡼࡾⅆᫍ᥈ᰝ⯟✵ᶵࡢᐇ⌧࡟㈨ࡍࡿ஦ࢆ┠ᶆ࡜ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
పࣞ࢖ࣀࣝࢬᩘ㡿ᇦ࡟࠾࠸࡚㧗ᥭᢠẚࢆᣢࡘ⩼ᆺࡢከ┠ⓗタィ᥈⣴࡟ᙜࡾ㸪ᩘ್ὶయຊᏛ࡟ᇶ࡙ࡃ⩼ᆺࡢホ౯ࡣᚲせ୙ྍḞ࡛࠶ࡿ㸬ゎᯒᑐ㇟࡜࡞ࡿタィ᥈⣴࡛ྲྀᚓࡉࢀࡿ⩼ᆺࡣ⭾኱࡞ᩘ࡜࡞ࡾ㸪ࡑࢀࡽ࡟ᑐࡋ࡚ᩘ್ὶయຊᏛゎᯒࢆ⾜࠺㸬ࡇࢀࢆᏛෆࡢィ⟬㈨※ࡢࡳ࡛⾜࠺ࡇ࡜ࡣ㞴ࡋࡃ㸪ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡛ゎᯒຠ⋡ࡢྥୖࡀᮇᚅ࡛ࡁࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
௒ᖺᗘࡣ㸪㐍໬࢔ࣝࢦࣜࢬ࣒ࢆ᪂ࡓ࡟ືⓗศᩓ㑇ఏⓗ࢔ࣝࢦࣜࢬ࣒࡬ኚ᭦ࡋ㸪ࢫࣃࢥࣥࢆ⏝࠸࡚㸪పࣞ࢖ࣀࣝࢬᩘ㡿ᇦ࡟࠾ࡅࡿ㧗ᥭᢠẚ⩼ᆺࡢከ┠ⓗタィ᥈⣴ࢆᐇ᪋ࡍࡿࡇ࡜ࢆ┠ᶆ࡜ࡋࡓ㸬ືⓗศᩓ㑇ఏⓗ࢔ࣝࢦࣜࢬ࣒ࡣ㸪㑇ఏⓗ࢔ࣝࢦࣜࢬ࣒࡛ྲྀᚓࡋࡓゎ㞟ྜ࡟ᑐࡋ㸪㐍໬ࡢ≧ἣ࡟ᛂࡌ࡚
㝵ᒙⓗࢡࣛࢫࢱࣜࣥࢢ࡟ࡼࡾ㐺ᐅศ๭ࡲࡓࡣ⤫ྜࢆ⾜࠸㸪ศ๭ᚋࡢゎ㞟ྜࡈ࡜࡟ゎࡢ㐍໬ࢆ⾜࠺㸬ゎࡀᣢࡘ≉ᚩ㔞࡟ᇶ࡙࠸࡚ゎ㞟ྜࡢศ๭ࢆ⾜࠺ࡇ࡜࡟ࡼࡾ㸪ゎࡢከᵝᛶ࡜཰᮰ᛶࡢ୧❧ࢆᅗࡿࡶࡢ࡛࠶ࡿ㸬䠉㻞㻝㻤䠉

HPC@JAXA2015≉ᚩ㔞࡟ࡼࡿゎࡢࢡࣛࢫࢱࣜࣥࢢ࡜ゎ㞟ྜࡢศ๭ᩘỴᐃࡀ㠀ᖖ࡟㔜せ࡜࡞ࡿࡓࡵ㸪㐣ཤ࡟ࢫࣃࢥࣥࢆ⏝࠸࡚ᐇ᪋ࡋࡓタィ᥈⣴ࡢ⤖ᯝࢆࢧࣥࣉࣝࢹ࣮ࢱ࡜ࡋ࡚ࢡࣛࢫࢱࣜࣥࢢᡭἲࡢ᳨ウࢆࡣࡌࡵ࡟⾜ࡗࡓ㸬タィ᥈⣴⤖ᯝ࡟ᑐࡋ࡚ࢡࣛࢫࢱࣜࣥࢢࢆᐇ᪋ࡋ㸪ศ๭ᩘ 2㹼12 ࡟࠾࠸࡚ᖹᆒࢩ࢚ࣝࢵࢺᖜࡢẚ㍑ࢆ⾜ࡗࡓ㸬ᖹᆒࢩ࢚ࣝࢵࢺᖜࡀ᭱ࡶ 1 ࡟㏆࠸ࢡࣛࢫࢱᩘࡣ⮬↛࡞ศ๭ᩘ࡛࠶ࡾ㸪ᮏࢡࣛࢫࢱࣜࣥࢢ࡛ࡣࢡࣛ
ࢫࢱศ๭ᩘ 2 ࡀ㸪㐺ษ࡞ࢡࣛࢫࢱᩘ࡜࡞ࡗࡓ㸬ࡋ࠿ࡋ㸪ࢡࣛࢫࢱศ๭ᩘ 2㹼4 ࡢሙྜ࡟࠾ࡅࡿࢡࣛࢫࢱࣜ
ࣥࢢ⤖ᯝ࡜ྛࢡࣛࢫࢱ࡟ᒓࡍࡿ⩼ᆺࡢᙧ≧ࢆᖹᆒ໬ࡋࡓᖹᆒ⩼ᆺࢆẚ㍑ࡍࡿ࡜㸪ࢡࣛࢫࢱศ๭ᩘ 2 ࡛ࡣ㸪ศ㢮࡛ࡁ࡞࠿ࡗࡓ≉ᚩ㔞ࢆᣢࡘ⩼ᆺࡀᏑᅾࡍࡿࡇ࡜ࡀࢃ࠿ࡿ㸬ࡇࡢࡇ࡜࠿ࡽ⌧≧ࡢࢡࣛࢫࢱࣜࣥࢢᡭἲ
࡟࠾࠸࡚㸪ᖹᆒࢩ࢚ࣝࢵࢺᖜࡣ㐺ษ࡞ࢡࣛࢫࢱศ๭ᩘࢆỴᐃ࡛ࡁ࡞࠸ྍ⬟ᛶࡀุ᫂ࡋࡓ㸬ࡑࡢࡓࡵ㸪௒ᖺᗘࡣࢫࣃࢥࣥࢆ⏝࠸ࡓືⓗศᩓ㑇ఏⓗ࢔ࣝࢦࣜࢬ࣒࡟ࡼࡿከ┠ⓗタィ᥈⣴ࢆᐇ᪋ࡍࡿ࡟ࡣ⮳ࡽ࡞࠿ࡗࡓ㸬᮶ᖺᗘࡣ㐺ษ࡞ࢡࣛࢫࢱศ๭ᩘỴᐃࡢᣦᶆࢆ෌᳨ウࡋ㸪ᙜึࡢ┠ᶆ㏻ࡾపࣞ࢖ࣀࣝࢬᩘ㡿ᇦ࡟࠾ࡅࡿ㧗ᥭᢠẚ⩼ᆺࡢከ┠ⓗタィ᥈⣴ࢆᐇ᪋ࡍࡿィ⏬࡛࠶ࡿ㸬㻌㻌㻌
ᅗ1 ࢡࣛࢫࢱࣜࣥࢢ⤖ᯝࡢẚ㍑
㸸Comparison of Clustering Results㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
 
ࢣ࣮ࢫᩘ㸸

ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 ࣉࣟࢭࢫ୪ิᡭἲ㸸ࢫࣞࢵࢻ୪ิᡭἲ㸸฼⏝ィ⟬ࢩࢫࢸ࣒㸸䠉㻞㻝㻥䠉

HPC@JAXA2015㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) పReᩘ᭱㐺⩼ᆺ᥈⣴࡟࠾ࡅࡿࢡࣛࢫࢱࣜࣥࢢᡭἲࡢ᳨ウ࠾ࡼࡧ✵ຊ≉ᛶࡢホ౯㸪᪥ᮏᶵᲔᏛ఍஑ᕞᨭ
㒊➨69ᮇ⥲఍࣭ㅮ₇఍㸪D-12㸪2016ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP䠉㻞㻞㻜䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻢㻚㻌 ㉸⮫⏺஘ὶ䛾㧗⢭ᗘᩘ್䝅䝭䝳䝺䞊䝅䝵䞁㻌High-fidelity numerical simulation of supercritical turbulent flows㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ᮾ໭኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲⛉ ⯟✵ᏱᐂᕤᏛᑓᨷ㸪Ἑྜ᐀ྖ(kawai@cfd.mech.tohoku.ac.jp)㻌 ஦ᴗࡢ┠ⓗᮏ◊✲࡛ࡣ㸪㉸⮫⏺ᅽ࣭㑄⮫⏺஘ὶቃ⏺ᒙෆ࡛ᛴ⃭࡟ኚ໬ࡍࡿ⇕ຊᏛ≀ᛶ࡜ቨ஘ὶ࡜ࡢ┦஫ᖸ΅ࡢヲ⣽ࢆ኱つᶍDNSゎᯒ࠿ࡽ᫂ࡽ࠿࡟ࡍࡿ㸬ࡲࡓDNS࡜ྠ᮲௳࡛᪤ᏑࡢRANS஘ὶࣔࢹࣝࢆ⏝࠸ࡓゎᯒࢆᐇ
᪋ࡋ㸪DNSࢹ࣮ࢱ࡜┤᥋ẚ㍑᳨࣭ドࡍࡿࡇ࡜࡛㸪᪤Ꮡࡢ஘ὶࣔࢹࣝࡢ㐺⏝ྍ⬟ᛶࢆ᥈ࡿ㸬㻌 ஦ᴗࡢ┠ᶆᾮయࣟࢣࢵࢺ࢚ࣥࢪ࣭ࣥ෌⏕෭༷ᢏ⾡ࡢ☜❧࡟㔜せ࡞ᙺ๭ࢆᯝࡓࡍ㸪㉸⮫⏺ᅽ࣭㑄⮫⏺஘ὶ࡟ᑐࡍࡿ
㧗⢭ᗘ࡞ᩘ್ゎᯒᡭἲࢆ㛤Ⓨࡋ㸪ᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥࡢ㛤Ⓨ࣭タィ࡟㈉⊩ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࣃࢥࣥ฼⏝࡟ࡼࡾึࡵ࡚ྍ⬟࡜࡞ࡿ㑄⮫⏺஘ὶቃ⏺ᒙࡢDNSゎᯒ࠿ࡽ㸪RANS஘ὶࣔࢹࣝࢆ᳨ドࡋ㸪᭦࡟ᨵⰋࡢ⣒ཱྀࢆ᥈ࡿࡇ࡜ࡣ㸪ࢫࣃࢥࣥࡢᏛ⾡㈉⊩ࡢࡳ࡞ࡽࡎ㸪タィୖὶᕤ⛬࠿ࡽࡢಙ㢗࡛ࡁࡿ࢚ࣥࢪ
ࣥタィ࣭㛤Ⓨ࡟ࡶࡘ࡞ࡀࡿ࡜ᮇᚅ࡛ࡁ㸪ࡑࡢᯝࡓࡍᙺ๭ࡣ኱ࡁ࠸࡜⪃࠼ࡽࢀࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
⊂⮬࡟㛤Ⓨࡋࡓ㧗⢭ᗘ࡞㉸⮫⏺஘ὶゎᯒࢆྍ⬟࡜ࡍࡿ㧗⢭ᗘᩘ್ィ⟬ᡭἲࢆ⏝࠸࡚㸪㉸⮫⏺ᅽ࣭㑄⮫⏺஘ὶቃ⏺ᒙࡢDNSࢆᐇ᪋ࡋ㸪஘ὶ⤫ィ㔞ࡸ▐㛫ࡢὶࢀሙゎᯒ࠿ࡽヲ⣽࡞ὶయ⌧㇟ࡢゎ᫂ࢆ⾜ࡗࡓ㸬⤖ᯝ㸪㑄⮫⏺᮲௳ୗࡢ㉸⮫⏺஘ὶቃ⏺ᒙ࡛ࡣ㸪ప㏿ὶࢀ࡛࠶ࡗ࡚ࡶᅽ⦰ᛶࡢຠᯝ㸦≉࡟ᐦᗘኚື࡟㉳ᅉࡍࡿຠᯝ㸧ࡀ↓ど࡛ࡁ࡞࠸ࡇ࡜ࡀ᫂ࡽ࠿࡟࡞ࡗࡓ㸬୍᪉㸪㑄⮫⏺᮲௳࡜ࡣ࡞ࡽ࡞࠸㉸⮫⏺஘ὶቃ⏺ᒙ࡛ࡣ㸪㉸⮫⏺ὶయ࡛࠶ࡾ࡞ࡀࡽ⌮᝿ὶయࡢ஘ὶቃ⏺ᒙ࡛Ⰻࡃ▱ࡽࢀ࡚࠸ࡿ㏻ᖖࡢ஘ὶ⤫ィ㔞࡜ఱࡽኚࢃࡽ࡞࠸
ࡇ࡜ࡀ᫂ࡽ࠿࡟࡞ࡗࡓ㸬ḟ࡟ୖグDNS࡛ᚓࡽࢀࡓ஘ὶ⤫ィ㔞ࢆᇶ࡟㸪᪤ᏑࡢRANS஘ὶࣔࢹࣝࢆ⏝࠸࡚ྠ᮲௳࡛ゎᯒࡋ㸪DNS
ࢹ࣮ࢱ࡜┤᥋ẚ㍑᳨࣭ドࡍࡿࡇ࡜࡛㸪᪤Ꮡࡢ஘ὶࣔࢹࣝࡢ㐺⏝ྍ⬟ᛶࢆ᳨ウࡋࡓ㸬⤖ᯝ㸪㑄⮫⏺᮲௳࡜ࡣ࡞ࡽ࡞࠸㉸⮫⏺஘ὶቃ⏺ᒙ࡛ࡣ㸪᪤Ꮡࡢ஘ὶࣔࢹ࡛ࣝᖹᆒሙࢆ⢭ᗘⰋࡃண ྍ⬟࡛࠶ࡿࡇ࡜ࡀศ࠿ࡗ
ࡓ㸬ࡋ࠿ࡋ୍᪉㸪㑄⮫⏺᮲௳ୗࡢ㉸⮫⏺஘ὶቃ⏺ᒙ࡛ࡣ㸪᪤ᏑࡢRANS஘ὶࣔࢹࣝࡢண ⢭ᗘࡣᝏࡃ㸪ࡑࡢཎᅉࡀ᪤Ꮡࡢ஘ὶࣔࢹ࡛ࣝࡣ㏻ᖖ↓どࡉࢀࡿᐦᗘኚື࡟㉳ᅉࡍࡿ㡯࡟࠶ࡿࡢ࡛ࡣ㸪࡜࠸࠺ࡇ࡜ࡀ♧၀ࡉࢀࡿ⤖ᯝࡀᚓࡽࢀࡓ(ᅗ1ཧ↷)㸬௒ᚋࡣ㸪ᐦᗘኚື࡟㉳ᅉࡍࡿ㡯ࢆRANS஘ὶࣔࢹ࡛ࣝ⪃៖ࡍࡿ◊✲ࢆ㐍ࡵࡿணᐃ࡛࠶ࡿ㸬䠉㻞㻞㻝䠉

HPC@JAXA2015
௨ୖࡢࡼ࠺࡟ᮏ◊✲࡛ࡣ㸪⊂⮬࡟㛤Ⓨࡋࡓ㧗⢭ᗘᩘ್ィ⟬ᡭἲ࡜ࢫࣃࢥࣥ฼⏝࡟ࡼࡾ㉸⮫⏺ᅽ࣭㑄⮫⏺஘ὶቃ⏺ᒙࡢ DNS ࢆᐇ᪋ࡍࡿࡇ࡜࡛⌧㇟ゎ᫂ࢆ⾜࠸㸪᭦࡟ᮏ DNS ࢹ࣮ࢱࢆᇶ࡟ RANS ஘ὶࣔࢹࣝ
ࡢ㧗ᗘ໬࡟ྲྀࡾ⤌ࢇ࡛࠸ࡿ㸬

㻌

㻌

㻌

ᅗ1 ㉸⮫⏺ᅽ࣭㑄⮫⏺஘ὶቃ⏺ᒙ࡟࠾ࡅࡿ᪤ᏑRANSࣔࢹࣝࡢ㐺⏝ྍ⬟ᛶ㸸Capability of existing RANS model on transcritical turbulent boundary
layers at supercritical pressure㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
275᫬㛫
ࢣ࣮ࢫᩘ㸸
10ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
10ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4㹼8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP㸪⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) S. Kawai, H. Terashima, and H. Negishi, “A robust and accurate numerical method for transcriticalturbulent flows at supercritical pressure with an arbitrary equation of state, ” Journal ofComputational Physics, 300, 116-135, (2015).

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]359,839.29

SORA-PP䠉㻞㻞㻞䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻣㻚㻌 ⣽㛗≀య䛾✵ຊ≉ᛶ䛻䛴䛔䛶䛾ᩘ್ゎᯒ㻌
Numerical Analysis of Aerodynamic Characteristics of Slender Body㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ᶓ὾ᅜ❧኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲㝔㸪໭ᮧᆂ୍(kitamura@ynu.jp)ᵓᡂဨ㸸ᶓ὾ᅜ❧኱Ꮫ ⌮ᕤᏛ㒊㸪㟷ᰠᣅஓ(aogaki-takuya-rf@ynu.jp)ᶓ὾ᅜ❧኱Ꮫ኱Ꮫ㝔 ᕤᏛᗓ㸪ᒣᙧ㱟௓(yamagata-ryousuke-fk@ynu.jp)

㻌 ஦ᴗࡢ┠ⓗ෌౑⏝ࣟࢣࢵࢺ࡟௦⾲ࡉࢀࡿ⣽㛗≀యࡢ࿘ᅖࡢὶࢀሙࡀ≀యࡢ✵ຊ≉ᛶ࡟୚࠼ࡿᙳ㡪ࡢゎ᫂࡜㸪ࡼࡾඃࢀࡓᙧ≧ࡢᥦ᱌㸬㻌 ஦ᴗࡢ┠ᶆࡲࡎ㸪⌧ᅾᥦ᱌ࡉࢀ࡚࠸ࡿᙧ≧࡟ࡘ࠸࡚ள㡢㏿᮲௳࡟࠾ࡅࡿᩘ್ィ⟬ࢆ⾜࠸㸪ᶵయ࿘ࡾࡢὶࢀሙࡀ✵ຊ≉ᛶ࡟୚࠼ࡿᙳ㡪ࢆᐃ㔞ⓗ࡟ゎ᫂ࡍࡿ㸬ࡑࡢᚋ㸪ࢹࣂ࢖ࢫࡢ௜ຍࡸᙧ≧ኚ᭦࡞࡝࡟ࡼࡿᙳ㡪ࢆㄪᰝࡋ㸪ࡼࡾⰋ࠸✵ຊ≉ᛶࡀᚓࡽࢀࡿᶵయᙧ≧ࢆ⪃᱌ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
㐣ཤࡢ㛵㐃◊✲ࡼࡾ㸪ᮏィ⟬࡟ࡣᑡ࡞ࡃ࡜ࡶ1,000୓せ⣲ࢆせࡍࡿ஦ࡀศ࠿ࡗ࡚࠸ࡿ㸬ࡇࡢつᶍࡢ㠀ᐃᖖィ⟬ࢆᖖ᫬㸪኱Ꮫࡢ࣮࣡ࢡࢫࢸ࣮ࢩࣙࣥࡢࡳ࡛⾜࠺஦ࡣ⌧ᐇⓗ࡛ࡣ࡞࠸ࡓࡵ㸪࣓ࣔࣜࢆ኱ࡁࡃྲྀࢀ㸪ィ⟬᫬㛫ࢆ኱ᖜ࡟๐ῶ࡛ࡁࡿJSS2ࢆ฼⏝ࡋࡓ㸬㻌 ௒ᖺᗘࡢᡂᯝ
෌౑⏝ࣟࢣࢵࢺࢆᶍᨃࡋࡓ⣽㛗≀య࿘ࡾࡢள㡢㏿ὶࢀ࡟ࡘ࠸࡚✵ຊゎᯒࢆᐇ⾜ࡋࡓ㸬ィ⟬⤖ᯝࡣ㸪ᑐᛂࡍࡿ㢼Ὕヨ㦂࡟࠾࠸࡚௦⾲ⓗ࡞」ᩘࡢ㏄ゅ࡟࡚⌧ࢀࡿ㠀ᐃᖖᛶࡸ㠀ᑐ⛠ᛶ㸪✵Ẽຊࢆṇࡋࡃᤊ࠼࡚࠸
ࡓ㸬ࡲࡓ㸪ࡇࢀࡽࡢὶయ⌧㇟ࡸ✵ຊ≉ᛶࡀ⏕ࡌࡿཎᅉࢆゎ᫂ࡋࡓ㸬䠉㻞㻞㻟䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 ㏄ゅ60ᗘ࡟࠾ࡅࡿ⣽㛗≀య࿘ࡾ ᗘศᕸ㸸Vorticity Profiles around Slender Body at AOA=60r㻌࠙ィ⟬᝟ሗࠚ
6᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
15ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
32ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPI࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸
SORA-MA㸪SORA-PP฼⏝ィ⟬ࢩࢫࢸ࣒㸸㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) 㟷ᰠᣅஓ㸪໭ᮧᆂ୍㸪㔝୰ ⪽㸸෌౑⏝ࣟࢣࢵࢺࡢ኱㏄ゅ㣕⾜᫬ࡢ✵ຊ≉ᛶ࡟㛵ࡍࡿᩘ್ゎᯒ㸪➨48ᅇὶయຊᏛㅮ₇఍/➨34ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘㸦2016Ⓨ⾲ணᐃ㸧ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

401,339.09

586.36䠉㻞㻞㻠䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻤㻚㻌 ↓⾪✺☢Ẽ䝸䝁䝛䜽䝅䝵䞁䛾㐠ືㄽⓗ◊✲㻌Kinetic modeling of collisionless magnetic reconnection㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ᅜ❧ኳᩥྎ⌮ㄽ◊✲㒊㸪㖹㇂ㄔྖ(seiji.zenitani@nao.ac.jp)㻌 ஦ᴗࡢ┠ⓗᏱᐂ✵㛫ࣉࣛࢬ࣐୰࡛☢Ẽ࢚ࢿࣝࢠ࣮ࢆゎᨺࡍࡿࠕ☢Ẽࣜࢥࢿࢡࢩࣙࣥࠖ㐣⛬ࡢ≀⌮ࢆゎ᫂ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆ↓⾪✺☢Ẽࣜࢥࢿࢡࢩࣙࣥ࡟ෆᅾࡍࡿࡉࡲࡊࡲ࡞≀⌮㐣⛬ࡢ࠺ࡕ㸪௒ᖺᗘࡣ㸪ࣜࢥࢿࢡࢩࣙࣥ㹖Ⅼ㡿ᇦ࠿ࡽ྿ࡁฟࡍ㧗㏿㟁Ꮚὶᵓ㐀ࡢ⌮ゎ࡟ྲྀࡾ⤌ࡴ㸬㧗㏿㟁Ꮚὶࡣ2000ᖺ௦ᚋ༙௨㝆㸪ࢩ࣑࣮ࣗࣞࢩࣙࣥ
࠾ࡼࡧ☢Ẽᅪほ ⾨࡛ᫍぢࡘ࠿ࡗࡓࡶࡢ࡛㸪ࡉࡲࡊࡲ࡞ᛶ㉁ࡀᮍゎ᫂࡞ࡲࡲ࡛࠶ࡿ㸬ࡇࢀࢆ⌮ゎࡍࡿࡇ࡜ࡣ㸪2015ᖺ3᭶࡟ᡴࡕୖࡆࡽࢀࡓNASA㸦JAXAࡶ༠ຊ㸧ࡢMagnetospheric MultiScale (MMS) ⾨ᫍࡢᆅ⌫☢Ẽᅪࣜࢥࢿࢡࢩࣙࣥ㡿ᇦࡢほ ࢹ࣮ࢱࢆゎ㔘ࡍࡿࡓࡵ࡟㔜せ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
↓⾪✺☢Ẽࣜࢥࢿࢡࢩࣙࣥࡣከᩘࡢࣉࣛࢬ࣐⢏Ꮚࡢ㐠ືࡢ⤖ᯝ࡜ࡋ࡚⏕ࡌࡿ㸪」㞧࠿ࡘ㠀⥺ᙧ࡞⌧㇟࡛࠶ࡿ㸬ࡑࡢ⌮ㄽ◊✲࡟ࡣ㸪ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱ࣮࡟ࡼࡿࣉࣛࢬ࣐⢏Ꮚࢩ࣑࣮ࣗࣞࢩࣙࣥࡀᚲ㡲࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢ2ḟඖ⢏Ꮚࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ⾜࠸㸪ࢹ࣮ࢱࢆ┤᥋ࣁ࣮ࢻࢹ࢕ࢫࢡ࡟ฟຊࡋ࡚ᚓ
ࡓ2300୓ಶࡢ㟁Ꮚ㌶㐨ࢹ࣮ࢱࢆゎᯒࡋࡓ㸬ࡑࡋ࡚㸪㧗㏿㟁Ꮚὶ㡿ᇦࡢ㟁Ꮚࡢ㐠ືࢆ⌮ゎࡍࡿ࡜ྠ᫬࡟㸪ࡇࢀࡲ࡛▱ࡽࢀ࡚࠸࡞࠿ࡗࡓ᪂ࡋ࠸ࢱ࢖ࣉࡢ㟁Ꮚ㌶㐨ࢆⓎぢࡋࡓ㸦ᅗ1 ཧ↷㸧㸬ࡇࡢ⤖ᯝࡣ㸪⢏Ꮚ㌶㐨ࡢ⌮ゎࡢୖ࡟ᵓ⠏ࡉࢀ࡚࠸ࡿ☢Ẽࣜࢥࢿࢡࢩࣙࣥࡢ⌮ㄽࣔࢹࣝࡢ࡯ࡰ඲࡚࡟㸪෌⪃ࢆ㏕ࡿ⤖ᯝ࡛࠶ࡿ㸬

-By

B
ned
-alig
Field owinSuper-Alfvénic
electron jet

Crossing
regular orbity㻌Dissipation
regionLocal
Speiser orbitz

Nongyrotropic
electrons

Noncrossing
regular orbit

Global Speiser
orbit

+By

x

Noncrossing
Speiser-like orbit

Egedal orbit-B

PSBL electronoutow㻌

ᅗ1 ☢Ẽࣜࢥࢿࢡࢩࣙࣥ㡿ᇦࡢ඾ᆺ㟁Ꮚ㌶㐨㸦Zenitani et al. 2016 in prep.㸧㸸A schematic diagram of electron orbits (Zenitani et al. 2016 in prep.)䠉㻞㻞㻡䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1ࣨ᭶
ࢣ࣮ࢫᩘ㸸
1ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸32ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸࡞ࡋ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) S. Zenitani, Loading Relativistic Maxwell Distributions in Particle Simulations, Physics ofPlasmas, 22, 042116 (2015)2) T. Nagai, I. Shinohara, & S. Zenitani, Ion acceleration processes in magnetic reconnection: Geotail
observations in the magnetotail, Journal of Geophysical Research, 120, 1766 (2015)3) T. Nagai, I. Shinohara, & S. Zenitani, The dawn-dusk length of the X line in the near-Earthmagnetotail: Geotail survey in 1994-2014, Journal of Geophysical Research, 120, 8762 (2015)ᰝㄞ࡞ࡋㄽᩥ
4) M. Yamada, J. Yoo, & S. Zenitani, Energy conversion and inventory of a prototypical magnetic
reconnection layer, Astrophysics and Space Science Library, 427, 143 (2016)
ཱྀ㢌Ⓨ⾲㻌5) Numerical Modeling of Relativistic Reconnection: Kinetic, Two-fluid, and MHD Simulations,
Relativistic Jets: Creation, Dynamics, and Internal Physics, Krakow, Poland, April 20156) Particle acceleration in relativistic magnetic reconnection, AOGS 12th Annual Meeting, Singapore,
August 20157) High-speed fluid dynamics in magnetic reconnection in a low-beta plasma, Chapman Conference
on Magnetospheric Dynamics, Fairbanks, Alaska, USA, September 20158) Particle acceleration in magnetic reconnection㸪CTA◊✲఍ࠕ㧗࢚ࢿࣝࢠ࣮࣐࢞ࣥ⥺࡛ࡳࡿᴟ㝈Ᏹᐂ
2015ࠖ
㸪Ᏹᐂ⥺◊✲ᡤ㸪᯽㸪2016/01
9) Particle dynamics and nongyrotropic distribution functions in collisionless magnetic reconnection,
International GEMSIS and ASINACTR-G2602 Workshop, Nagoya, March 2016ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]465.44

SORA-PP䠉㻞㻞㻢䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻥㻥㻚㻌 䝻䜿䝑䝖䜶䞁䝆䞁䛚䜘䜃㉸㡢㏿㣕⩧య⏝䜶䞁䝆䞁䛻㛵䛩䜛⇞↝ὶయ䛾◊✲㻌
Numerical Study on Combustible Flow in Supersonic Flight Engines and Rocket Engines㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸஑ᕞᕤᴗ኱Ꮫ኱Ꮫ㝔 ᕤᏛ◊✲㝔 ᶵᲔ▱⬟ᕤᏛ◊✲⣔㸪ᆤ஭ఙᖾ(tsuboi@mech.kyutech.ac.jp)ᵓᡂဨ㸸஑ᕞᕤᴗ኱Ꮫ኱Ꮫ㝔 ᕤᏛᗓ ᶵᲔ▱⬟ᕤᏛᑓᨷ༤ኈㄢ⛬ 3 ᖺ㸪Ṋ⸨኱㈗(daiki.muto@gmail.com)
༤ኈㄢ⛬ 1 ᖺ㸪ྜྷ⏣ၨ♸(yoshida.keisuke32@gmail.com)
ಟኈㄢ⛬ 2 ᖺ㸪ᆏᮏࡲ࠸(mai.sakamoto.0307@gmail.com)
ಟኈㄢ⛬ 2 ᖺ㸪Ⱚᑿᑗྐ(masafumi627@gmail.com)
༤ኈㄢ⛬ 1 ᖺ㸪Ụ⸨ᡂ୍ᮁ(seiichiro5228@gmail.com)
ಟኈㄢ⛬ 1 ᖺ㸪∹⏣ᬛᖾ(fmnm.ros.8@gmail.com)
ಟኈㄢ⛬ 1 ᖺ㸪᪂⏠཭᪸(trofmdo@gmail.com)
ಟኈㄢ⛬ 1 ᖺ㸪⸨ᮏၨభ(meteor9150@gmail.com)

㻌 ஦ᴗࡢ┠ⓗᅜ⏘ࣟࢣࢵࢺ࢚ࣥࢪࣥ࠾ࡼࡧ㉸㡢㏿࢚ࣥࢪࣥࡢ㛤Ⓨ࡟࠾࠸࡚㸪ࣀࢬࣝࡸ⇞↝ჾ࡟㛵ࡍࡿホ౯ࡸࡑࢀ࡟
㛵㐃ࡍࡿᇶ♏◊✲ࢆᐇ᪋ࡍࡿ㸬㻌 ஦ᴗࡢ┠ᶆᅜ⏘ࣟࢣࢵࢺ࢚ࣥࢪࣥ࠾ࡼࡧ㉸㡢㏿࢚ࣥࢪࣥࡢ㛤Ⓨ࡟࠾࠸࡚㸪ຠ⋡ⓗ࡞ᩘ್ィ⟬ᡭἲࡢ㛤Ⓨ࡜Ꮫ⾡ⓗ࣭ᐇ⏝ⓗ࡟㔜せ࡞ὶయ⇞↝⌧㇟ࢆ᫂ࡽ࠿࡟ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
⇞↝ࢆྵࡴὶࢀࡣィ⟬ࢥࢫࢺࡀ㠀ᖖ࡟㧗࠸ࡶࡢࡀከࡃ㸪ࣟࢣࢵࢺ࢚ࣥࢪࣥࡢ⇞↝ࡸ⇿㎘⌧㇟ࡢゎᯒࡣࡑࡢ௦⾲ⓗ࡞ࡶࡢ࡛࠶ࡿ㸬ࢫࣃࢥࣥࡀᯝࡓࡍᙺ๭ࡣ㸪࣮࣡ࢡࢫࢸ࣮ࢩࣙࣥࢡࣛࢫ࡛ࡣィ⟬᫬㛫ࡀ㠀ᖖ࡟࠿࠿ࡿࡼ࠺࡞ࡇࡢࡼ࠺࡞ၥ㢟ࢆ㸪▷᫬㛫࡛ຠ⋡ⓗ࡟ゎࡃࡇ࡜ࢆྍ⬟࡜ࡍࡿࡶࡢ࡛࠶ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ᾮయࣟࢣࢵࢺ࢚ࣥࢪࣥᄇᑕჾ࡟࠾ࡅࡿᄇὶᵓ㐀ࡢ⌮ゎࢆ┠ⓗ࡟㸪㉸⮫⏺ᅽຊୗ࡛ࡢᴟప ᖹ⾜ᖹᯈᄇὶࡢ 2 ḟඖᩘ್ゎᯒࢆᐇ᪋ࡋࡓ㸬≉࡟ᄇᑕჾฟཱྀᙧ≧࡟╔┠ࡋ㸪ෆഃᄇᑕཱྀࡢࣜࢭࢫ㛗ࡉ࡜࣏ࢫࢺ㧗ࡉࢆࣃ࣓ࣛࢺࣜࢵࢡ࡟ኚ໬ࡉࡏ㸪ฟཱྀᙧ≧ࡀᄇὶࡢࢲ࢖ࢼ࣑ࢡࢫ࡜ΰྜ࡟ཬࡰࡍຠᯝࢆᐃ㔞ⓗ࡟♧ࡋࡓ㸬䠉㻞㻞㻣䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 ㉸⮫⏺ᖹ⾜ᄇὶ࡟ᑐࡍࡿࣜࢭࢫᙧ≧ࡢຠᯝ㸬ୖ࠿ࡽࣜࢭࢫ࡞ࡋ㸪▷ࣜࢭࢫᙧ≧㸪㛗ࣜࢭࢫᙧ≧㸬ᕥิࡣᐦᗘ㸪ྑิࡣ⤯ᑐ ᗘ㸬㸸Effects of recess on supercritical planar jets. Top: flushed, shallow
recess, deep recess. Left : density, right: absolute vorticity.
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
⣙80᫬㛫
ࢣ࣮ࢫᩘ㸸
5ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸32ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 8ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ࡞ࡋㄽᩥ
1) Daiki Muto, Nobuyuki Tsuboi, Hiroshi Terashima, Characteristics of Jet-Mixing at Supercritical
Pressure for Coaxial Rocket Injector Design, 30th International Symposium on Space Technology
and Science, 2015-a-40, Kobe, Japan, July 2015
2) Daiki Muto, Nobuyuki Tsuboi, Hiroshi Terashima, Effects of the Recess Length on Supercritical Jet
Mixing of Co-planar/axial Injectors, 6th European Conference forAeronautics and Space
Sciences(EUCASS 2015), No. 487, 2015.6.

ᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]279,681.95

SORA-PP



㻌

䠉㻞㻞㻤䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻝㻜㻜㻚㻌 ᝨᫍ኱Ẽ䛾ᑐὶᵓ㐀䛾ẚ㍑ᩘ್䝰䝕䝸䞁䜾㻌Comparative numerical study on the structure of convection in planetary atmospheres㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸໭ᾏ㐨኱Ꮫ኱Ꮫ㝔 ⌮Ꮫ◊✲㝔㸪ᑠ㧗ṇႹ(odakker@gfd-dennou.org)

㻌 ஦ᴗࡢ┠ⓗᮏ◊✲ࡢ┠ⓗࡣ, ⌧ᅾࡢኴ㝧⣔ᝨᫍ࠿ࡽ⣔እᝨᫍࡑࡋ࡚௬᝿ⓗ࡞ᝨᫍ࡟⮳ࡿࡲ࡛ࡢᑐὶࡢᵓ㐀ࢆㄪ࡭
ࡿⅭࡢὶయィ⟬ࡢࣔࢹࣝࡢ㛤Ⓨ࣭ᨵⰋ࡜ࡑࢀࡽࢆ⏝࠸ࡓᇶ♏ⓗᩘ್ᐇ㦂ࢆ⾜࠺ࡇ࡜࡛࠶ࡿ.௬᝿ⓗ࡞≧ἣࡶྵࡵࡓᵝࠎ࡞ᝨᫍ኱Ẽ࡟࠾ࡅࡿᑐὶ㐠ືࡢᵓ㐀ࢆྲྀࡾᢅ࠺ࡇ࡜ࡢ࡛ࡁࡿᑐὶࣔࢹࣝࢆ㛤Ⓨࡋ, ࡑࢀࢆ⏝࠸ࡓᩘ್ᐇ㦂ࡢ⤖ᯝࢆ┦஫ẚ㍑ࡍࡿࡇ࡜࡟ࡼࡾ㸪ᝨᫍ኱Ẽᑐὶࡢ୍⯡ᛶ࡜⊂⮬ᛶࢆᩚ⌮ࡋ⌮ゎࡍࡿࡇ࡜ࢆヨࡳࡿ.

㻌 ஦ᴗࡢ┠ᶆⅆᫍࢆ᝿ᐃࡋࡓ኱Ẽᑐὶࡢ3ḟඖࣔࢹࣝ㛤Ⓨ࡜ィ⟬࡟↔Ⅼࢆᙜ࡚ࡿ. ⅆᫍ኱Ẽ࡟࠾࠸࡚ࡣᆅ⾲௜㏆࡟࠾࠸࡚᪥ᑕࡢ᪥ኚ໬࡟క࠸㖄┤ᑐὶࡀ⏕ࡌ࡚࠸ࡿࡇ࡜ࡀ, ࢲࢫࢺࢹࣅࣝࡢほ ࠾ࡼࡧ኱Ẽ኱ᚠ⎔ࣔࢹࣝࡢࢩ࣑࣮ࣗࣞࢩࣙࣥ࠿ࡽ♧၀ࡉࢀ࡚࠸ࡿ. ⅆᫍ኱Ẽᑐὶࡢ3ḟඖィ⟬ࢆྍ⬟࡞㝈ࡾᗈ࠸㡿ᇦࢆ☜ಖࡋ࡚⾜࠸, ᑐὶ㐠ືࡀ⮬ᕫ⤌⧊໬ࡋ኱つᶍ࡞ᚠ⎔ሙ࡟࡝ࡢࡼ࠺࡞ᙳ㡪ࢆཬࡰࡋ࠺ࡿ࠿ࢆㄪ࡭ࡿ.

㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
2ḟඖ࠾ࡼࡧ3ḟඖࡢ኱Ẽᑐὶࡢィ⟬ࢆ, ᑐὶࢆ⾲⌧ࡍࡿ࡟༑ศ࡞ゎീᗘ࡜ቃ⏺ࡢᙳ㡪ࢆཷࡅ࡞࠸ࡓࡵ
ࡢᗈ࠸㡿ᇦࢆ☜ಖࡋ࡚⾜࠺ࡓࡵ࡟ࡣ, ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࡢィ⟬㈨※ࡀ୙ྍḞ࡛࠶ࡿ㸬ィ⟬ࢆ㐍ࡵࡿ࡟ࡘࢀ࡚, ᵝࠎ࡞≀⌮㐣⛬ࡢឤᗘࢆㄪ࡭ࡿࣃ࣓࣮ࣛࢱᐇ㦂ࢆከᩘ⾜࠺ࡇ࡜ࡀᚲせ࡜࡞ࡿࡇ࡜ࡶ, ࢫ࣮ࣃ࣮ࢥࣥࣆ࣮ࣗࢱࡢࡼ࠺࡞ィ⟬㈨※ࡀᚲせ࡜࡞ࡿ୍ᅉ࡛࠶ࡿ.

㻌 ௒ᖺᗘࡢᡂᯝ
௒ᖺᗘࡣ 2 ḟඖࣔࢹࣝ࡟ࡼࡿⅆᫍ኱Ẽ㖄┤ᑐὶࡢᩘ್ᐇ㦂࡜㸪ᩘ್ࣔࢹࣝࡢ SORA ࢩࢫࢸ࣒࡬ࡢ⛣᳜సᴗࢆ⾜ࡗࡓ. 2 ḟඖࣔࢹࣝࡢᩘ್ᐇ㦂࡟࠾࠸࡚ࡣ㸪஘ὶࣃ࣓ࣛࢱࣜࢮ̿ࢩࣙࣥ࡟࠾ࡅࡿΰྜ㊥㞳ࡢ⾲⌧ࡀ, ᑐὶሙ࡟࡝ࡢࡼ࠺࡞ᙳ㡪ࢆཬࡰࡍ࠿࡟╔┠ࡍࡿ. ィ⟬㡿ᇦࡣỈᖹ 50km, 㖄┤࡟ 20km, ᱁Ꮚ㛫㝸ࡣỈᖹ㖄┤࡜ࡶ࡟ 100m ࡜ࡋࡓ. ᨺᑕ㐣⛬࡜ᆅ㠃 ᗘࡣ㝧࡟ィ⟬ࡏࡎ, Odaka et al. (2001) ࡢࢲࢫࢺࡢ
࡞࠸㖄┤㸯ḟඖࣔࢹࣝ࡟ࡼࡗ࡚ᚓࡽࢀࡓ᪥ኚ໬ࡍࡿᨺᑕຍ⇕⋡࡜ᆅ⾲㠃 ᗘࢆ୚࠼ࡿ. ΰྜ㊥㞳ࡣ ᖹᆒ᱁Ꮚ㛫㝸(deardorff, 1980; ᮏᐇ㦂ࡢሙྜ୍ᐃ್)࡜ࡋࡓሙྜ(௨ୗ, ΰྜ㛗ᅛᐃᐇ㦂)࡜, ᆅ⾲࡟㏆௜ࡃ࡟ࡘࢀ㧗ᗘ࡜࡜ࡶ࡟࣐࢝ࣝࣥᐃᩘ࡜㧗ᗘࡢ✚࡟₞㏆ࡍࡿ(Blackadar, 1964)ሙྜ(௨ୗ, ΰྜ㛗㧗ᗘኚ໬ᐇ㦂)ࡢ 2 ㏻ࡾࡢ⾲⌧ࢆ୚࠼ࡓ. ึᮇࡢ ᗘศᕸࡣ Odaka et al. (2001) ࡢ㖄┤ 1 ḟඖࣔࢹࣝィ⟬⤖ᯝࢆ୚࠼, ィ⟬᫬㛫ࡣ 6 ᪥㛫࡛࠶ࡿ.
ΰྜ㛗ᅛᐃᐇ㦂ࡢ⤖ᯝ࡜࡯ࡰྠᵝࡢタᐃࢆ୚࠼࡚࠸ࡿ Odaka et al. (2001) ࡜ẚ㍑ࡋࡓ࡜ࡇࢁ, ᪥୰࠿ࡽ local time 15:00 㡭࡟࠿ࡅ࡚ࡢᑐὶࢭࣝࡢࢫࢣ࣮ࣝ, ᑐὶᒙෆࡢ ఩ศᕸࡣྠ⛬ᗘ࡛࠶ࡗࡓ.
䠉㻞㻞㻥䠉HPC@JAXA2015
ࡋ࠿ࡋᖹᆒ㖄┤㢼㏿ࡣᮏ◊✲ࡢ᪉ࡀࡸࡸᙉࡃ, ᪥ἐᚋࡢᑐὶࡢῶ⾶࡟᫬㛫ࡀ࠿࠿ࡿࡇ࡜ࡀࢃ࠿ࡗࡓ.
ΰྜ㛗ᅛᐃᐇ㦂࡜ΰྜ㛗㧗ᗘኚ໬ᐇ㦂ࡢ⤖ᯝࢆẚ࡭ࡿ࡜, ᑐὶࢭࣝࡢࢫࢣ࣮ࣝ, ᑐὶᒙෆࡢ ఩ศᕸ࡟᭷ព࡞㐪࠸ࡣぢࡽࢀ࡞࠿ࡗࡓࡶࡢࡢ, ᖹᆒ㖄┤㢼㏿ࡢ኱ࡁࡉࡣΰྜ㛗㧗ᗘኚ໬ᐇ㦂ࡢ᪉ࡀ኱ࡁࡃ࡞ࡗࡓ.
ࡇࡢᖹᆒ㢼㏿ࡢ㐪࠸ࡣ, ⇕ቃ⏺ᒙෆ࡟࠾ࡅࡿ⛣ὶ࠾ࡼࡧ஘ὶᣑᩓ࡟ࡼࡿ⇕㍺㏦ࡢᐤ୚ࡢ๭ྜࡀኚࢃࡿࡇ
࡜࡟ࡼࡿࡶࡢ࡜ᛮࢃࢀࡿ.
⌧ᅾࣔࢹࣝࡢ SORA ࢩࢫࢸ࣒࡬ࡢ⛣᳜࡜ࢹࣂࢵࢢసᴗࢆ⾜ࡗ࡚࠾ࡾ, ᖺᗘෆ࡟ 3 ḟඖィ⟬ࢆ㛤ጞࡍࡿணᐃ࡛࠶ࡿ. ィ⟬᝟ሗࡣ 2 ḟඖィ⟬ࢆ⾜ࡗࡓ PC ࢡࣛࢫࢱࡢィ⟬᫬㛫࠿ࡽぢ✚ࡶࡗࡓ್࡛࠶ࡿࡇ࡜࡟
ὀពࡉࢀࡓ࠸.

㻌㻌㻌

ᅗ1 ΰྜ㛗ᅛᐃᐇ㦂࡛ᚓࡽࢀࡓ local time 14:00 ࡟࠾ࡅࡿ㖄┤㢼ࡢศᕸ.㸬
㸸The distribution of vertical velocity at local time 14:00 in the caseof fixed mixing length experiment.
㻌㻌ᅗ2 ΰྜ㛗㧗ᗘኚ໬ᐇ㦂࡛ᚓࡽࢀࡓ local time14:00࡟࠾ࡅࡿ㖄┤㢼ࡢศᕸ.
㸸The distribution of vertical velocity at local time 14:00 in the caseof variable mixing length experiment.

䠉㻞㻟㻜䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
24᫬㛫
ࢣ࣮ࢫᩘ㸸
2ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸1ࣉࣟࢭࢫࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 12ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) ᮡᒣ⪔୍ᮁ㸪ᑠ㧗ṇႹ㸪୰ᓥ೺௓㸪㧗ᶫⰾᖾ㸪す⃝ㄔஓ㸪எ㒊┤ே㸪ᯘ ⚈௓㸪ࡣࡋࡶ࡜ࡌࡻ࣮ࡌ㸪㛗㇂ᕝ᫭୍, ᴬཎ⠜ᚿ㸪ᆤᮌ࿴ஂ ⅆᫍ᥈ᰝࡢࡓࡵࡢ⾲ᒙ⎔ቃホ౯㸸㞼ゎീࣔࢹࣝ CReSS ࡢⅆᫍ኱Ẽ࡬ࡢ㐺⏝ 2015 ᖺ ᪥ᮏẼ㇟Ꮫ఍᫓Ꮨ኱఍㸬2) ᮡᒣ⪔୍ᮁ㸪ᑠ㧗ṇႹ㸪୰ᓥ೺௓㸪㧗ᶫⰾᖾ㸪す⃝ㄔஓ㸪எ㒊┤ே㸪ᯘ ⚈௓㸪ࡣࡋࡶ࡜ࡌࡻ࣮ࡌ㸪㛗㇂ᕝ᫭୍㸪ᴬཎ⠜ᚿ㸪ᆤᮌ࿴ஂ ⅆᫍ᥈ᰝࡢࡓࡵࡢ⾲ᒙ⎔ቃホ౯㸸㞼ゎീࣔࢹࣝ CReSS ࡢⅆᫍ኱Ẽ࡬ࡢ㐺⏝ ᪥ᮏᆅ⌫ᝨᫍ⛉Ꮫ㐃ྜ 2015 ᖺ኱఍㸬ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

SORA-PP䠉㻞㻟㻝䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻝㻜㻝㻚㻌㻰㻺㻿 ゎᯒ䛻ᇶ䛵䛟㧗䝬䝑䝝ᩘΰ┦஘ὶ 㻸㻱㻿 䝰䝕䝹䛾ᵓ⠏㻌
Construction of LES Model for High Mach-number-turbulent-multi-phase-flow model based on DNS㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ᮾᾏ኱Ꮫ㸪⚟⏣⣫኱(fukuda@tokai-u.jp)ᵓᡂဨ㸸Ᏹᐂ⛉Ꮫ◊✲ᡤ㸪㔝ࠎᮧᣅ(nonomura@flab.isas.jaxa.jp)㻌 ஦ᴗࡢ┠ⓗᚤ⢏Ꮚࢆྵࡴࣟࢣࢵࢺ࢚ࣥࢪࣥ᤼Ẽࢪ࢙ࢵࢺࢆᑐ㇟࡜ࡋࡓ㸪㧗࣐ࢵࣁᩘᅛẼ/Ẽᾮΰ┦஘ὶ(⾪ᧁἼ➼ࢆྵࡴẼయ୰࡟⢏Ꮚࡀΰᅾࡍࡿΰ┦஘ὶ)ࡢ≉ᛶᢕᥱ࡜ࣔࢹࣝ໬࡟ྥࡅ࡚㸪㧗࣐ࢵࣁᩘ࣭పࣞ࢖ࣀࣝࢬᩘὶ
ࢀ࡟࠾ࡅࡿ༢య⢏Ꮚ࿘ࡾ┤᥋ᩘ್ゎᯒ(Direct Numerical Simulation: DNS)ࢆ⾜࠸㸪ࡑࡢ⤖ᯝ࡟ᇶ࡙ࡁ㸪㧗࣐ࢵࣁᩘΰ┦஘ὶࡢLES(Large Eddy Simulation)ࣔࢹࣝࢆ᳨ウࡍࡿ㻌 ஦ᴗࡢ┠ᶆ
LESࣔࢹࣝᵓ⠏࡟ྥࡅ࡚㸪ࢹ࣮ࢱ࣮࣋ࢫࡢసᡂ࡜ᢠຊಀᩘࡸὶࢀሙࡢᵝ┦࡟ᑐࡍࡿὶࢀሙࡢ᮲௳ࡢᙳ
㡪࡞࡝ࢆㄪᰝࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ࢫࣃࢥࣥࢆ฼⏝ࡍࡿࡇ࡜࡛㸪ቃ⏺㐺ྜ᱁Ꮚࢆ⏝࠸ࡓ㧗࣐ࢵࣁᩘ㺃పࣞ࢖ࣀࣝࢬᩘὶࢀ࡟࠾ࡅࡿ⌫࿘ࡾὶ
ࢀࡢ'16 ࢆ኱つᶍᩘ್ゎᯒ࡟ࡼࡾᐇ᪋ࡍࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
㧗࣐ࢵࣁᩘ㺃పࣞ࢖ࣀࣝࢬᩘὶࢀ࡟࠾ࡅࡿ๛య⌫ࡀཷࡅࡿ᢬ᢠຊࡢ≉ᛶࢆ᫂ࡽ࠿࡜ࡋࡓ㸬ࡲࡓ㸪஘ὶሙ࡬ࡢᙳ㡪ࡀ኱ࡁ࠸⢏Ꮚࡢᚋὶ ࡢ⏕ᡂ࠾ࡼࡧᣲື࡟ᑐࡍࡿὶࢀሙࡢ᮲௳ࡢᙳ㡪ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬ලయⓗ࡟ࡣ㸪ࣞ࢖ࣀࣝࢬᩘࢆᅛᐃࡋ࣐ࢵࣁᩘ㸪ᅇ㌿㏿ᗘࢆኚ࠼ࡓሙྜࡢᚋὶࡢ ὶࢀࡢࣃࢱ࣮ࣥࡢኚ໬ࢆ᫂ࡽ
࠿࡟ࡋࡓ㸬㠀ᅽ⦰᮲௳࡟ẚ࡭㸪㧗࣐ࢵࣁᩘ࡛ࡣ㠀ᐃᖖᛶࡀᢚ࠼ࡽࢀࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬䠉㻞㻟㻞䠉

HPC@JAXA2015㻌㻌㻌

ᅗ1 ᅇ㌿ࡍࡿ⌫ࡲࢃࡾὶࢀࡢ㏿ᗘ໙㓄ࢸࣥࢯࣝ➨஧୙ኚ㔞ࡢ➼್㠃࡛ྍど໬ࡋࡓ ᵓ㐀㸸Vortex structure identified by the isosurface of second invariant
value of the velocity gradient tensor.
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
300᫬㛫
ࢣ࣮ࢫᩘ㸸
65ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸45ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP䠉㻞㻟㻟䠉HPC@JAXA2015㻌㻌 ᡂᯝࡢබ⾲≧ἣཱྀ㢌Ⓨ⾲1) Takayuki Nagata, Taku, Nonomura, Shun Takahashi, Yusuke Mizuno, and Kota Fukuda,“Analysis on Flow around a Sphere at High Mach Number, Low Reynolds Number and Adiabatic
Condition for High Accuracy Analysis of Gas Particle Flows”, VI Coupled Problems in Science andEngineering (Coupled Problems 2015).
2) Takayuki Nagata, Taku Nonomura, Shun Takahashi, Yusuke Mizuno and Kota Fukuda, “Analysis
on Flow around a Sphere under an Isothermal Condition at High Mach and Low Reynolds Number
Flows”, Malaysia-Japan Joint International Conference 2015 (MJJIC2015).
3) Takayuki Nagata, Taku Nonomura, Shun Takahashi , Yusuke Mizuno , and Kota Fukuda,“Analysis of the Temperature Ratio Effects on the Flow Properties of the Low Reynolds and HighMach number Flow around a Sphere”, the 54th AIAA Aerospace Sciences Meeting, AIAA
2016-1251,
4) Ọ⏣㈗அ㸪㔝ࠎᮧᣅ㸪㧗ᶫ ಇ㸪Ỉ㔝⿱௓㸪⚟⏣⣫኱͆DNS࡟ࡼࡿ㧗Machᩘ࣭పReynoldsᩘࡢ⌫࿘ࡾࡢὶࢀሙ࡟ᑐࡍࡿMachᩘࡸ ᗘẚࡢᙳ㡪ᢕᥱ͇➨47ᅇὶయຊᏛㅮ₇఍/➨33ᅇ⯟✵Ᏹᐂᩘ್ࢩ࣑ࣗࣞ
࣮ࢩࣙࣥᢏ⾡ࢩ࣏ࣥࢪ࣒࢘, ᮾி.
5) Ọ⏣㈗அ㸪㔝ࠎᮧᣅ㸪㧗ᶫ ಇ㸪Ỉ㔝⿱௓㸪⚟⏣⣫኱㸪͆㧗࣐ࢵࣁᩘ㺃పࣞ࢖ࣀࣝࢬᩘ㺃➼ ᮲௳ୗ࡟࠾ࡅࡿᅇ㌿ࡍࡿ⌫࿘ࡾὶࢀࡢ┤᥋ᩘ್ゎᯒ͇➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘.

ᖺ㛫฼⏝㔞ࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-MA

SORA-PP

498,857.74

374,507.15

䠉㻞㻟㻠䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻝㻜㻞㻚㻌 ᅽ⦰ᛶቃ⏺ᒙ䛻䛚䛡䜛ᒙὶ䠉஘ὶ㑄⛣ᚋᮇ㐣⛬䛾㻌㠀⥺ᙧ ືຊᏛ䛾ゎ᫂㻌Studies on nonlinear vortex dynamics in the later-stage of laminar-turbulent
transition in compressible boundary layers㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ឡ፾኱Ꮫ኱Ꮫ㝔 ⌮ᕤᏛ◊✲⛉ ⏕⏘⎔ቃᕤᏛᑓᨷ㸪ᯇᾆ୍㞝(matsuura.kazuo.mm@ehime-u.ac.jp)㻌 ஦ᴗࡢ┠ⓗ㡢㏿ࡢ5ಸ௨ୖࡢ㏿ࡉࢆ᭷ࡍࡿᴟ㉸㡢㏿ὶࢀࡀ≀యᅇࡾ࡟ᙧᡂࡍࡿ⢓ᛶቃ⏺ᒙὶࢀ࡟࠾ࡅࡿᒙὶ࠿ࡽ
஘ὶ࡬ࡢ㑄⛣㐣⛬ࡣ㸪ᡃࠎࡀᬑẁ⤒㦂ࡍࡿప㏿ὶࢀࡢ㑄⛣࡜ẚ㍑ࡋ࡚㸪ቃ⏺ᒙࡢෆ㒊࡛㡢㏿ࡼࡾ㐜࠸㡿ᇦ࡜㡢㏿௨ୖࡢ㡿ᇦࡀΰᅾࡍࡿ࡞࡝ᐦᗘኚືࡸ ᗘኚື࡜࠸ࡗࡓ」㞧ᅉᏊࡀከࡃ㸪ࡑࢀࡽࡢ┦஫స⏝ࡶከᙬ࡜࡞ࡿࡓࡵ㸪ࡑࡢ ືຊᏛ࡟㛵ࡍࡿヲ⣽ゎ᫂ࡢⓎᒎࡀᮇᚅࡉࢀ࡚࠸ࡿ㸬ᮏ◊✲࡛ࡣ㸪ᴟ㉸㡢㏿ὶࢀ
࡛ぢࡽࢀࡿᅽ⦰ᛶቃ⏺ᒙ࡟࠾ࡅࡿᒙὶ̿஘ὶ㑄⛣ࡢ┤᥋ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆᐇ᪋ࡋ㸪ᚋᮇ㐣⛬࡟࠾ࡅࡿ㠀⥺ᙧ ືຊᏛࢆゎ᫂ࡍࡿࡇ࡜ࡀ┠ⓗ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ┠ᶆᴟ㉸㡢㏿ᇦࡢẼὶ࡟ࡼࡾᙧᡂࡉࢀࡿቃ⏺ᒙࡢᒙὶ࠿ࡽ஘ὶ࡟⮳ࡿ஘ὶ㑄⛣ࡢ┤᥋ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆ
ᐇ᪋ࡍࡿ㸬ᚓࡽࢀࡿ኱つᶍ㠀ᐃᖖࢹ࣮ࢱࢆᇶ࡟㸪㑄⛣ᚋᮇ㐣⛬࡟࠾࠸࡚⌧ࢀࡿ⤌⧊ ࡸቃ⏺ᒙෆ㒊ࡢኚືࢆྠᐃࡋ㸪ࡑࡢ⏕ᡂࡸኚᙧ࡞࡝ࢆ㆟ㄽࡍࡿ㸬ࡲࡓ㸪ቃ⏺ᒙᨐ஘ࢆኚ࠼ࡿࡇ࡜࡟ࡼࡾ㸪㑄⛣㐣⛬࡟ᑐࡍࡿᙳ㡪ࢆゎ᫂ࡍࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
ᴟ㉸㡢㏿ὶࢀ࡟࠾ࡅࡿቃ⏺ᒙ㑄⛣ࡣ㸪㢼Ὕ⮬య࡟ࡼࡿᨐ஘⎔ቃࡀᏑᅾࡋᐇ㦂ィ ࡀᅔ㞴࡛࠶ࡿࡓࡵ㑄⛣⌧㇟ࡢゎ᫂ࡢࡓࡵ࡟ࡣᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࡀ୰ᚰⓗ࡞◊✲ᡭẁ࡜࡞ࡿ㸬୍᪉࡛㸪ቃ⏺ᒙ㑄⛣ࡣᨐ஘࡟ᩄឤ࡛࠶ࡾ㸪ࡲࡓᴟ㉸㡢㏿ὶࢀࡢᙉ࠸ᅽ⦰ᛶ࡟ࡼࡗ࡚㑄⛣ࡀ㉳ࡇࡾ࡟ࡃࡃ࡞ࡿࡓࡵ㸪㧗⢭ᗘ࡞኱つᶍィ⟬ࢆ▷ᮇ㛫࡛ྍ⬟࡟ࡍࡿ᭱᪂㗦ࡢࢫࣃࢥࣥࡀ◊✲ࡢࣇࣟࣥࢸ࢕࢔ࢆ≌ᘬࡍࡿᙺ๭ࢆᢸࡗ࡚࠸ࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
࣐ࢵࣁᩘ 0.5 ࡢప࣐ࢵࣁᩘᇦ࡟࠾ࡅࡿᅽ⦰ᛶቃ⏺ᒙࡢࢩ࣑࣮ࣗࣞࢩࣙࣥࢆᐇ᪋ࡋ㸪㑄⛣ᚋᮇ㐣⛬୍࡛⯡ⓗ࡟ぢࡽࢀࡿ࣊࢔ࣆࣥ ࡢᙧᡂ࡟࠿࠿ࢃࡿືຊᏛࢆ᫂ࡽ࠿࡟ࡋࡓ㸬ࡲࡓ㸪௒ᚋ኱つᶍ୪ิィ⟬ࢆᐇ᪋ࡍࡿࡓࡵࡢぢ㏻ࡋࢆᚓࡓ㸬䠉㻞㻟㻡䠉

HPC@JAXA2015㻌㻌㻌
ᅗ1 ᅽ⦰ᛶ㑄⛣ቃ⏺ᒙ࡟࠾ࡅࡿ࣊࢔ࣆࣥ ᵓ㐀ࡢᙧᡂ
㸸Generation of hairpin vortices in compressible boundary layers㻌࠙ィ⟬᝟ሗࠚ
2᫬㛫
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
1ࢣ࣮ࢫ
ࢣ࣮ࢫᩘ㸸
8ࣉࣟࢭࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣ↓ࡋᖺ㛫฼⏝㔞ᖺ㛫฼⏝㔞SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]10,737.49

SORA-PP䠉㻞㻟㻢䠉

SORA-LM

SORA-TPPHPC@JAXA2015㻌㻝㻜㻟㻚㻌 ┤஺᱁Ꮚἲ䜢⏝䛔䛯ᅛẼᾮ୕┦ᅽ⦰ᛶὶయゎᯒ䝁䞊䝗䛾㛤Ⓨ䛸ᛂ⏝㻌
Development and application of Multiphase flow simulation code based on Cartesian mesh㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸ᮾᾏ኱Ꮫ㸪㧗ᶫ ಇ(takahasi@tokai-u.jp)

㻌 ஦ᴗࡢ┠ⓗᮏ◊✲ࡣ㸪ձࣟࢣࢵࢺⓎᑕ᫬ᚋὶ୰ࡢᩓỈࡀ㡢㡪ሙ࡟ཬࡰࡍᙳ㡪ࡢㄪᰝ㸪ղᶵᲔᘧ෭༷ሪୖ㒊ࣇ࢓ࣥ࠿ࡽ᤼ẼࡉࢀࡿẼᾮ஧┦ὶゎᯒ㸪ճࣄ࣮ࢺࣃ࢖ࣉෆࡢ⇕㍺㏦⌧㇟ゎᯒࢆ◊✲ᑐ㇟࡟⪃࠼࡚࠸ࡿ㸬㏆ᖺ⪃᱌ࡉࢀ࡚࠸ࡿపᩓ㐓ᆺࢫ࣮࣒࢟࡟ࡼࡿ┤᥋ᩘ್ゎᯒ㸪┤஺᱁Ꮚ࡟ࡼࡿ」㞧ᙧ≧࣭⏺㠃ࡢ㧗㏿࡞෌⌧࠿ࡽ㸪ࡇࢀࡽ࡟ᑐࡋ࡚ྲྀࡾ⤌ࡴ㸬㻌 ஦ᴗࡢ┠ᶆձ࡜ղ࡛ࡣ」㞧࡞⛣ື≀య࿘ࡾࡢ኱つᶍ࣭㧗㏿ゎᯒࡀᚲせ࡜ࡉࢀࡿࡇ࡜࠿ࡽ㸪᪂つᛶࡢ㧗࠸ᩘ್ὶయ
ゎᯒᡭἲࡢᵓ⠏࡜࠸࠺ほⅬ࠿ࡽ㸪Ꮫ⾡ㄽᩥ࡬ࡢᢞ✏ࢆ⾜࠺㸬ࡲࡓ㛤Ⓨࡋࡓࢥ࣮ࢻࡣࣟࢣࢵࢺ㡢㡪ゎᯒࢶ࣮ࣝ࡜ࡋ࡚᪂ࡋ࠸Ⓨᑕྎࢆタィࡍࡿ㝿ࡢゎᯒ࡜ࡋ࡚ࡢᛂ⏝ࡸ㸪ࡲࡓ┤஺᱁Ꮚࡢ≉ᛶࢆ⏕࠿ࡋࡓ」㞧ᙧ≧ࢆྵࡴὶࢀሙ࡜㡢㡪ሙࡢึᮇ᳨ウ➼࡬ࡢ㐺⏝ࢆ┠ᣦࡍ㸬ᶵᲔᘧ෭༷ሪࡢࣇ࢓ࣥゎᯒࡢሙྜࡣ㸪ᐇ㝿ࡢࣇ࢓ࣥ࡜෭༷ሪࡢ㧗ຠ⋡໬ࢆࡣࡌࡵ㸪ࡑࡢ௚ࡢ஧┦ὶࢆྵࡴࣇ࢓ࣥ࡟㢮ఝࡋࡓၥ㢟ࡢゎᯒ࡟㐺⏝ࡀྍ⬟࡜࡞ࡿ࡜ᛮࢃࢀࡿ㸬ࣄ࣮ࢺࣃ࢖ࣉゎᯒࡣ㸪Ᏹᐂ⥺᳨ฟჾࡢ෭༷⿦⨨ࡢ୍ࡘ࡜ࡋ࡚⪃࠼ࡽࢀ࡚࠸ࡿࡀ㸪ᛂ⏝࡜ࡋ࡚ࡣ௚ࡢ⇕ᶵ㛵ࡢ஧┦ὶ⇕㍺㏦⌧㇟ゎᯒࢶ࣮ࣝࢆ⪃࠼࡚࠸ࡿ㸬௨ୖࡢࡼ࠺࡟㸪㐺⏝⠊ᅖࡣ㠀ᖖ࡟ᗈࡃ㸪✚ᴟⓗ࡟⏘ᐁᏛ㐃ᦠ◊✲ࡢ୰࡛ά⏝ࡋ࡚࠸ࡃࡇ࡜ࢆᮏ◊✲ࡢ┠ᶆ࡜ࡋ࡚࠸ࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
୕ḟඖᅽ⦰ᛶNavier-Stokes᪉⛬ᘧࢆ⏝࠸ࡓᅛẼ஧┦ὶゎᯒࢯࣝࣂࡣ᪤࡟㛤Ⓨ῭ࡳ࡛࠶ࡿࡀ㸪ᮏᡭἲࡣ➼㛫㝸┤஺᱁Ꮚࢆ࣮࣋ࢫ࡜ࡋ࡚࠸ࡿࡓࡵ㸪ᐇ㝿ࡢᛂ⏝ゎᯒࢆ⾜࠺㝿࡟ࡣィ⟬つᶍࡀᐜ᫆࡟኱つᶍ໬ࡍࡿ≉ᚩࡀ࠶ࡿ㸬ࡲࡓ㸪Ẽᾮ஧┦ὶゎᯒࢯࣝࣂࡣ⌧ᅾ஧ḟඖゎᯒࡲ࡛ࡣ㛤Ⓨ῭ࡳ࡛㸪ࡉࡽ࡞ࡿ᳨ドࢆ⾜ࡗࡓୖ࡛୕ḟඖ໬ࢆ⾜࠺ࡀ㸪ࡇࡕࡽࡶ➼㛫㝸┤஺᱁Ꮚ࡛࠶ࡿࡓࡵィ⟬ࡢ኱つᶍ໬ࡣ㑊ࡅࡽࢀ࡞࠸㸬ࡑࡢࡓࡵ㸪ࡇࢀࡽࡢࢥ࣮ࢻࡢMPI࡜OpenMP࡟ࡼࡿࣁ࢖ࣈࣜࢵࢻ୪ิ໬ࢆ⾜ࡗࡓᚋ࡟㸪኱つᶍᐇ⏝ゎᯒ࡟⛣⾜ࡍࡿ㸬ࡲࡓ᭱⤊ⓗ࡟ࡣࡇࢀࡽࡢࢥ࣮ࢻࢆ⤫ྜࡋ㸪ᅛẼᾮ୕┦ゎᯒࢥ࣮ࢻࢆ㛤Ⓨࡋ㸪⛣ື≀యࢆྵࡴᅛẼᾮ୕┦ὶࡢゎᯒࢶ࣮ࣝࢆ㛤Ⓨࡍࡿணᐃ࡛࠶ࡿ㸬➼㛫㝸┤஺᱁Ꮚࡺ࠼㎿㏿࡞㛤Ⓨࡀྍ⬟࡛࠶ࡿࡀ㸪ࡋ࠿ࡋ࡞ࡀࡽィ⟬つᶍࡀቑຍࡋࡸࡍ࠸࡜࠸࠺኱ࡁ࡞ḞⅬࢆ⿵࠺࡭ࡃ㸪኱ᆺィ⟬ᶵࢆά⏝ࡍࡿ㸬䠉㻞㻟㻣䠉

HPC@JAXA2015㻌㻌 ௒ᖺᗘࡢᡂᯝ
୕ḟඖᅛẼ஧┦ὶゎᯒࢯࣝࣂ࡟ࡼࡿᚤ⢏Ꮚ࡜ὶࢀࡢᖸ΅ゎᯒ࡜㸪ࡑࡢ⤖ᯝࡢㄽᩥᢞ✏୪ࡧ࡟ᥖ㍕ࢆᯝࡓࡋࡓ㸬Ẽᾮ஧┦ὶゎᯒ࡟࠾࠸࡚ࡣ㸪ᇶ♏ⓗ࡞᳨ウࢆ㏣ຍ࡛⾜࠸㸪ࡉࡽ࡟㧗⢭ᗘ໬࡟ࡘ࠸࡚ྲྀࡾ⤌ࢇ࡛ᅜ㝿఍㆟Ⓨ⾲ࢆ⾜ࡗࡓ㸬ㄽᩥ࡬ࡢᢞ✏ࡣ⌧ᅾ᳨ウ୰࡛࠶ࡿ㸬ᅇ㌿ᶵᲔࡢゎᯒ࡟ࡘ࠸࡚ࡣ㸪ⷧ࠸≀యࢆᢅ࠺ᇙࡵ㎸ࡳቃ⏺ἲࢆ⏝࠸࡚㛤Ⓨࢆ⤊࠼㸪⌧ᅾ᳨ドࢆ⾜ࡗ࡚࠸ࡿ᭱୰࡛࠶ࡿ㸬ࡑࡢᚋㄽᩥᢞ✏࡟ࡘ࡞ࡆࡿ㸬㻌㻌

ᅗ1 ከᩘ⢏Ꮚࡀ⾪ᧁἼࢆ㏻㐣ᚋ࡟⏕ࡌࡿᚋὶ ࡢྍど໬
㸸Visualization of wake vortices from multiple particles interacted with shock.
㻌㻌㻌
ᅗ2 ஧┦ὶゎᯒ࡟ࡼࡿỈ୰ࡢẼἻࡢኚᙧᣲືࡢྍど໬㸸Visualization of deformation of air bubbles in water by two-phase flow simulation.㻌䠉㻞㻟㻤䠉HPC@JAXA2015࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
336᫬㛫
ࢣ࣮ࢫᩘ㸸
120ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸
15ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 1ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸࡞ࡋࢫࣞࢵࢻ୪ิᡭἲ㸸
OpenMP฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-PP㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) A Simple Immersed Boundary Method for Compressible Flow Simulation around a Stationary andMoving Sphere, Mizuno, Y., Takahashi, S., Nonomura, T., Nagata, T., Fukuda, K., Mathematical
Problems in Engineering, Volume 2015 (2015), Article ID 438086, 17 pagesཱྀ㢌Ⓨ⾲2) Coupled Simulation of Shock Waves in Gas-Particle Mixtures Introducing Motion Equations,
Mizuno, Y., Takahashi, S., Nonomura, T., Nagata, T., Fukuda, K., Mathematical Problems in
Engineering, VI Coupled Problems in Science and Engineering (Coupled Problems 2015), (2015).
3) Numerical Investigation of Minisci of Bubbles in Oscillating Heat Pipe, Inoue, T., Takahashi, S.,
Nonomura, T., Fuke, H., Proceedings of the First Pacific Rim Thermal Engineering Conference,
PRTEC, March 13-17, 2016, Hawaii's Big Island, USA
4) Direct Numerical Simulation of Shock Waves Passed by Multiple Particles using Immersed
Boundary Method, Mizuno, Y., Takahashi, S., Nonomura, T., Nagata, T., Fukuda, K., 54th AIAA
Aerospace Sciences Meeting, AIAA SciTech, (AIAA 2016-0618).
5) ᇙࡵ㎸ࡳቃ⏺ἲࢆ⏝࠸ࡓ」ᩘ⢏Ꮚࡀ⾪ᧁἼࢆ㏻㐣ࡍࡿὶࢀሙࡢ┤᥋ᩘ್ゎᯒ㸪Ỉ㔝⿱௓㸪㧗ᶫಇ㸪㔝ࠎᮧᣅ㸪Ọ⏣㈗அ㸪⚟⏣⣫኱㸪➨47ᅇὶయຊᏛㅮ₇఍㸪20156) ┤᥋ᩘ್ゎᯒ࡟ࡼࡿ」ᩘ⢏Ꮚ࡜⾪ᧁἼࡢ┦஫స⏝ࡢᢕᥱ㸪Ỉ㔝⿱௓㸪㧗ᶫ ಇ㸪㔝ࠎᮧᣅ㸪Ọ⏣㈗அ㸪⚟⏣⣫኱㸪2015ᖺᗘᶵᲔᏛ఍ὶయຊᏛ㒊㛛ㅮ₇఍㸪20157) ⇕ఏ㐩ࢆ⪃៖ࡋࡓᇙࡵ㎸ࡳቃ⏺ἲࢆ⏝࠸ࡓ ⌫ࡲࢃࡾὶࢀࡢ┤᥋ᩘ್ゎᯒ㸪Ỉ㔝⿱௓㸪㧗ᶫ ಇ㸪㔝ࠎᮧᣅ㸪Ọ⏣㈗அ㸪⚟⏣⣫኱㸪➨29ᅇᩘ್ὶయຊᏛࢩ࣏ࣥࢪ࣒࢘㸪2015ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]

1.92

SORA-PP533,685.63

䠉㻞㻟㻥䠉SORA-LM

SORA-TPPHPC@JAXA2015㻌㻝㻜㻠㻚㻌 Ⓨ㐩䛧䛯஘ὶ䛾኱つᶍᩘ್䝅䝭䝳䝺䞊䝅䝵䞁◊✲㻌
Direct Numerical Simulations of Developed Turbulence㻌 ஦ᴗᙧែJSS2 ኱Ꮫඹྠ฼⏝㻌㻌 ஦ᴗࡢ㈐௵⪅࣭ᵓᡂဨ㈐௵⪅㸸኱㜰኱Ꮫ ᇶ♏ᕤᏛ◊✲⛉㸪ᚋ⸨ ᫴(goto@me.es.osaka-u.ac.jp)ᵓᡂဨ㸸኱㜰኱Ꮫ ᇶ♏ᕤᏛ◊✲⛉㸪ᕝ㑓ဴஓ(t_kawabe@fm.me.es.osaka-u.ac.jp)⸀⏣ ᣙ(k_komoda@fm.me.es.osaka-u.ac.jp)㻌 ஦ᴗࡢ┠ⓗᡃࠎࡢ㌟ࡢࡲࢃࡾࡢὶࢀࡢ࡯࡜ࢇ࡝ࡣ஘ὶ࡛࠶ࡿ㸬஘ὶࡢᑠࢫࢣ࣮ࣝࡢ⤫ィᛶ㉁ࡣእຊࡸὶࢀࡢቃ⏺
᮲௳࡟ࡣ౫ࡽࡎ࡟ᬑ㐢ⓗ࡟࡞ࡿࡇ࡜ࡀྂࡃ࠿ࡽ▱ࡽࢀࡿ㸬ࡇࡢ஘ὶ⤫ィࡢᬑ㐢ᛶࡢᡂᅉࢆ᫂ࡽ࠿࡟ࡍࡿ
࡜࡜ࡶ࡟㸪ࡑࡢ▱ぢ࡟ᇶ࡙࠸ࡓ඲ࡃ᪂ࡋ࠸஘ὶࣔࢹࣝࢆᵓ⠏ࡍࡿࡇ࡜ࡀᮏ஦ᴗࡢ┠ⓗ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ┠ᶆ✀ࠎࡢቃ⏺᮲௳ୗ࡟࠾ࡅࡿ஘ὶࡢ኱つᶍᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࢆᐇ⾜ࡋ㸪ࡑࡢ⤫ィᛶ㉁ࡸືຊᏛࢆヲ⣽࡟ㄪ࡭ࡿࡇ࡜࡛㸪஘ὶࡢᑠࢫࢣ࣮ࣝࡢ⤫ィࡢᬑ㐢ᛶࡢ⫼ᚋ࡟࠶ࡿ㸦࢚ࢿࣝࢠ࣮࢝ࢫࢣ࣮ࢻ⌧㇟࡞࡝ࡢ㸧≀⌮ࢆ᫂ࡽ࠿࡟ࡍࡿ࡜ࡶ࡟㸪ᚑ᮶࠿ࡽ⏝࠸ࡽࢀ࡚ࡁࡓ஘ὶࣔࢹࣝࡢᇶ┙ࢆ࡞ࡍ஘ὶࡢ⤫ィἲ๎ࡢᡂྰࢆ
ᩘ್ⓗ࡟᳨ドࡍࡿࡇ࡜ࡀᮏ஦ᴗࡢ┠ᶆ࡛࠶ࡿ㸬㻌 ஦ᴗࡢ୰࡛ࢫࣃࢥࣥ฼⏝ࡀᯝࡓࡍᙺ๭
᭱᪂ࡢࢫࣃࢥࣥࢆ⏝࠸ࡿࡇ࡜࡛ࡣࡌࡵ࡚ᐊෆᐇ㦂࡜ྠ➼ࡢࣞ࢖ࣀࣝࢬᩘࡢ஘ὶࡢᩘ್ࢩ࣑࣮ࣗࣞࢩࣙ
ࣥࡀྍ⬟࡛࠶ࡿ㸬୍᪉࡛㸪᭱᪂ࡢࢫࣃࢥࣥࢆ⏝࠸ࢀࡤ㸪ࡑࡢࡼ࠺࡞ࣞ࢖ࣀࣝࢬᩘࡢ஘ὶࡢᩘ್ᐇ㦂ࡢヲ⣽࡞ࢹ࣮ࢱࡢྲྀᚓ࡜ࡑࡢゎᯒࡀྍ⬟࡛࠶ࡿ㸬ࡋࡓࡀࡗ࡚㸪ᮏ஦ᴗ࡟࠾࠸࡚ࢫࣃࢥࣥࡢ฼⏝ࡣᚲせ୙ྍḞ࡛࠶ࡿ࡜ྠ᫬࡟㸪ࡑࡢ฼⏝࡟ࡼࡾ༑ศ࡞ᡂᯝࡀᮇᚅࡉࢀࡿ㸬㻌 ௒ᖺᗘࡢᡂᯝ
ࡲࡎ㸪࿘ᮇቃ⏺᮲௳ୗ࡟࠾ࡅࡿ஘ὶ୰࡟࠾ࡅࡿ⤫ィἲ๎࡟㛵ࡍࡿ᪂ࡋ࠸▱ぢࡀᚓࡽࢀࡓ㸬࡜ࡃ࡟㸪஘ὶࡢ⤫ィ⌮ㄽࡸࣔࢹࣝ࡟࠾࠸࡚ᗈࡃ⏝࠸ࡽࢀ࡚ࡁࡓࠕ࢚ࢿࣝࢠ࣮ᩓ㐓⋡࡟㛵ࡍࡿࢸ࣮࣮࣭ࣛࢥࣝࣔࢦࣟ
ࣇࡢἲ๎ࠖࡀᚲࡎࡋࡶᡂ❧ࡋ࡞࠸ࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋ㸪ࡇࡢἲ๎ࡀ◚ࢀࡿཎᅉࢆࠕ࢚ࢿࣝࢠ࣮࢝ࢫࢣ࣮ࢻ
ᥥീࠖࢆ⏝࠸࡚ㄝ᫂ࡋࡓ㸦Goto & Vassilicos 2016㸧㸬ࡲࡓ㸪࢚ࢿࣝࢠ࣮࢝ࢫࢣ࣮ࢻ⌧㇟ࢆᐊෆᐇ㦂࡟ࡼࡾ◊✲ࡍࡿࡓࡵ࡟ᵓ⠏ࡉࢀࡓ⣔࡟࠾ࡅࡿ஘ὶࢆᩘ್
ⓗ࡟ࢩ࣑࣮ࣗࣞࢺࡋ㸪ᐊෆᐇ㦂࡛ࡣ᫂ࡽ࠿ࡍࡿࡇ࡜ࡀᅔ㞴࡞஘ὶࡢືຊᏛ࡟㛵ࡍࡿ◊✲ࢆ⾜ࡗࡓ㸬ලయⓗ࡟ࡣ㸪⮬㌿㍈ࡀṓᕪ㐠ືࢆࡍࡿᅇ㌿ᐜჾෆ஘ὶ࡟㛵ࡍࡿ◊✲ࢆ㐙⾜ࡋࡓ㸬࡜ࡃ࡟㸪ࡇࡢ஘ὶࡢ⥔ᣢᶵᵓࢆ⌮ゎࡍࡿࡓࡵ࡟㸪సືὶయ࡟ᑡ㔞ࡢ⏺㠃άᛶ๣ࢆῧຍࡋࡓሙྜࡢᣲືࢆᩘ್ⓗ࡟෌⌧ࡋࡓ㸬ࡘࡲࡾ㸪ࡈࡃᑡ㔞ࡢῧຍ๣࡛ᐜჾෆࡢ஘ὶࡣ๻ⓗ࡟పῶࡉࢀࡿࡢ࡛㸪ࡇࡢ஘ὶኚㄪࡢ≀⌮ᶵᵓࢆ᫂ࡽ࠿࡟ࡍࡿࡇ
࡜࡛㸪ࡇࡢ஘ὶࡢ⥔ᣢᶵᵓࡀ᫂ࡽ࠿࡟࡞ࡿ࡜⪃࠼ࡓ㸬ῧ௜ࡋࡓᅗ࡟♧ࡍࡼ࠺࡟㸪ࡈࡃᙅ࠸㠀ࢽ࣮ࣗ䠉㻞㻠㻜䠉

HPC@JAXA2015
ࢺࣥ⢓ᛶࡢᙳ㡪࡛㸪ᐜჾෆࡢ஘ὶࡀ㸦ᐊෆᐇ㦂࡜ྠᵝ࡟㸧ᐜჾ୰ᚰ㒊࡛๻ⓗ࡟పῶࡍࡿᵝᏊࡀᤊ࠼ࡽࢀ
ࡓ㸬ḟᖺᗘࡣ㸪ࡇࡢ஘ὶ࡟ᑐࡋ࡚ࡉࡽ࡟ヲ⣽࡞ゎᯒࢆ⾜࠺ィ⏬࡛࠶ࡿ㸬

㻌

㻌

㻌

ᅗ1 ṓᕪ⌫యෆ࡟⥔ᣢࡉࢀࡿ㠀ࢽ࣮ࣗࢺࣥὶయࡢ஘ὶᙉᗘ㸦㉥㐨㠃㸧㸬
㸸Turbulence intensity of turbulence of a non-Newtonian fluid confinedin a precessing sphere.
㻌࠙ィ⟬᝟ሗࠚ
1ࢣ࣮ࢫ࠶ࡓࡾࡢ⤒㐣᫬㛫㸸
10᫬㛫
ࢣ࣮ࢫᩘ㸸
20ࢣ࣮ࢫ
ࢪࣙࣈࡢ୪ิࣉࣟࢭࢫᩘ㸸48ࣉࣟࢭࢫ
ࣉࣟࢭࢫ࠶ࡓࡾࡢࢥ࢔ᩘ(=ࢫࣞࢵࢻᩘ) 㸸 4ࢥ࢔ࣉࣟࢭࢫ୪ิᡭἲ㸸
MPIࢫࣞࢵࢻ୪ิᡭἲ㸸⮬ື୪ิ฼⏝ィ⟬ࢩࢫࢸ࣒㸸
SORA-MA㻌 ᡂᯝࡢබ⾲≧ἣᰝㄞ௜ㄽᩥ
1) S. Goto and J. C. Vassilicos, “Local equilibrium hypothesis and Taylor’s dissipation law”, Fluid
Dynamics Research 48 (2016) 021402.
ᰝㄞ࡞ࡋㄽᩥ
2) S. Goto, Y. Horimoto and G. Kawahara, “Experiments on turbulence modulation by surfactant
additives in a precessing sphere”, Proceedings of the Ninth International Symposium on
Turbulence and Shear Flow Phenomena.
ཱྀ㢌Ⓨ⾲3) S. Goto, “Unsteadiness of turbulence driven by steady forces in a periodic cube”㸦The International
Conference on Jets, Wakes and Separated Flows (ICJWSF2015, 2015ᖺ6᭶15᪥, KHT, Stockholm,
Sweden㸧䠉㻞㻠㻝䠉HPC@JAXA2015
㻌4) S. Goto, Y. Horimoto and G. Kawahara, “Experiments on turbulence modulation by surfactant
additives in a precessing sphere”㸦Ninth International Symposium on Turbulence and Shear Flow
Phenomena, 2015ᖺ7᭶2᪥, The University of Melbourne㸧5) ᚋ⸨ ᫴㸪㰻⸨㞝ኴ㸪Ἑཎ※ኴ㸪ࠕ㧗ࣞ࢖ࣀࣝࢬᩘ஘ὶ୰ࡢ ࡢ㝵ᒙࡢ࿘ᮇⓗ෌⏕ࠖ㸦RIMS◊✲㞟఍ࠕ஘ὶࢆ௓ᅾࡋࡓὶయ⌧㇟ࡢᩘ⌮ࠖ
㸪2015ᖺ7᭶23᪥㸪ி㒔኱Ꮫ㸧6) S. Goto, “Pattern formation in turbulence at high Reynolds numbers”㸦Workshop on “New Trends
in Patterns and Waves", 2015ᖺ8᭶17᪥㸪໭ᾏ㐨኱Ꮫ㸧7) ᚋ⸨ ᫴㸪㰻⸨㞝ኴ㸪Ἑཎ※ኴ㸪ࠕ㧗ࣞ࢖ࣀࣝࢬᩘ஘ὶ୰ࡢ ࡢ㝵ᒙࠖ㸦᪥ᮏ≀⌮Ꮫ఍ 2015ᖺ⛅Ꮨ኱఍㸪
2015ᖺ9᭶18᪥㸪㛵す኱Ꮫ㸧8) S. Goto, J. C. Vassilocos, Y. Saito and Genta Kawahara, “Kolmogorov's local equilibrium hypothesis
and Taylor's dissipation law”㸦2nd France-Japan Workshop on Subcritical Transition to Turbulence,2015ᖺ10᭶15᪥㸪ᮾி⌮⛉኱Ꮫ㸧9) ᚋ⸨ ᫴㸪ᇼᮏᗣᩥ㸪∦ᒣ ᝡ㸪ࠕṓᕪ㐠ືࢆࡍࡿᐜჾෆ࡟⥔ᣢࡉࢀࡿ஘ὶࡢ⤫ィࠖ㸦᪥ᮏᶵᲔᏛ఍ ➨93
ᮇ ὶయᕤᏛ㒊㛛 ㅮ₇఍㸪2015ᖺ11᭶8᪥㸪ᮾி⌮⛉኱Ꮫ㸧10) S. Goto, Y. Saito, J. C. Vassilicos and G. Kawahara, “Physical mechanism of energy cascade andnon-equilibrium statistics in developed turbulence” 㸦 EUROMECH-ERCOFTAC Workshop“Turbulence Cascades”, 2015ᖺ12᭶4᪥㸪Ecole Centrale de Lille, France11) ᚋ⸨ ᫴㸪ࠕ஘ὶ୰ࡢ ࡢ㝵ᒙ࡜࢚ࢿࣝࢠ࣮࢝ࢫࢣ࣮ࢻࠖ
㸦ᖹᡂ27ᖺᗘ▷ᮇ◊✲఍ ࠕ㔞Ꮚ஘ὶ࡜ྂ඾஘
ὶࡢ㑍㏪ࠖ㸪2016ᖺ1᭶6᪥㸪ᮾி኱Ꮫ㸧12) S. Goto and L. van Veen, “Transient turbulence in a periodic cube”㸦France-Japan Workshop 2016,2016ᖺ3᭶3᪥㸪ESPCI, Paris, France㸧13) ᚋ⸨ ᫴㸪ࠕ஘ὶ୰ࡢ࢚ࢿࣝࢠ࣮࢝ࢫࢣ࣮ࢻࡢ≀⌮ࠖ㸦᪥ᮏ≀⌮Ꮫ఍ ➨71ᅇᖺḟ኱఍㸪2016ᖺ3᭶20᪥㸪ᮾ໭Ꮫ㝔኱Ꮫ㸧ᖺ㛫฼⏝㔞
SORA-MAࢥ࢔๭ᙜ᫬㛫[ࢥ࢔㺃h]SORA-PP

202,609.73

0.04

䠉㻞㻠㻞䠉

SORA-LM

SORA-TPPHPC@JAXA2015

฼⏝ᴫせHPC@JAXA2015
JAXA ࡛ࡣᖹᡂ 21 ᖺ 4 ᭶ࡼࡾ㸪JAXA Supercomputer System㸦JSS㸧ࡢᮏ㐠⏝ࢆ㛤ጞࡋ㸪ᖹᡂ 26 ᖺ 9᭶࡛㐠⏝ࢆ⤊஢ࡋࡓ㸬ᖹᡂ 26 ᖺ 10 ᭶࠿ࡽ᪂ࢫࣃࢥࣥ JSS2㸦JSS Generation 2㸧ࡢ Main ࢩࢫࢸ࣒(SORA-MA)ࢆ㝖ࡃࢩࢫࢸ࣒ࡀ㐠⏝ࢆ㛤ጞࡋࡓ㸬ᖹᡂ 27 ᖺ 4 ᭶࠿ࡽࡣ඲ࢩࢫࢸ࣒ࡀ✌ാࢆ㛤ጞࡋࡓ㸬ࡲࡓ㸪
ᖹᡂ 28 ᖺ 4 ᭶࠿ࡽࡣ㸪Main ࢩࢫࢸ࣒ࡀ 1.31PFLOPS ࠿ࡽ 3.49PFLOPS ࡟ቑᙉࡉࢀ JSS2 ࡢࣇࣝ✌ാࡀ㛤ጞࡉࢀࡓ㸬ࡇࡇ࡛ࡣ㸪ᖹᡂ 27 ᖺᗘࡢ JSS2 ࡢ฼⏝ᴫせࢆࡲ࡜ࡵࡿ㸬ࢩࢫࢸ࣒ᴫせ
JSS2 ࡢࢩࢫࢸ࣒ᵓᡂᅗࢆᅗ 1-1 ࡟♧ࡍ㸬JSS2 ࡣࢫࣃࢥࣥ㒊ศࡢ SORA(Supercomputer for earth
Observation, Rockets, and Aeronautics)࡜㸪࢔࣮࢝࢖ࣂ㒊ศࡢ J-SPACE(Jaxa’s Storage Platform for
Archiving, Computing, and Exploring)ཬࡧ㐲㝸㒊ࡢ 3 ࡘࡢ୺せ࡞㒊ศ࠿ࡽ࡞ࡗ࡚࠸ࡿ㸬ࡇࢀࡽࡣࢫ࣮ࣃ࣮
ࢥࣥࣆ࣮ࣗࢱࢿࢵࢺ࣮࣡ࢡ࡟ࡼࡾ┦஫᥋⥆ࡉࢀࡿ࡜ඹ࡟㸪JAXA ᪤タࢿࢵࢺ࣮࣡ࢡ࡜ࡶ┦஫᥋⥆ࡉࢀࡿ㸬࡞࠾㸪㐲㝸ᆅ࡜ࡢ┦஫᥋⥆ࡣ㸪ᅜ❧᝟ሗᏛ◊✲ᡤࡀ㐠⏝ࡋ࡚࠸ࡿ SINET ࡢ L2-VPN ᶵ⬟ࢆ⏝࠸࡚ࣉࣛ࢖࣮࣋
ࢺࢿࢵࢺ࣮࣡ࢡࢆᵓ⠏ࡋ࡚ᐇ⌧ࡋ࡚࠸ࡿ㸬ᅗ 1-1 JSS2 ࡢᵓᡂᅗJSS2/SORA ࡣィ⟬ࢩࢫࢸ࣒(SORA-MA) 㸪ࣉ࣏ࣞࢫࢺࢩࢫࢸ࣒(SORA-PP) 㸪኱࣓ࣔࣜィ⟬ࢩࢫࢸ࣒(SORA-LM) 㸪ࣟࢢ࢖ࣥࢩࢫࢸ࣒(SORA-LI) 㸪ࣇ࢓࢖ࣝࢩࢫࢸ࣒(SORA-FS) 㸪⟶⌮࣭ไᚚ㒊ࡢ 6 ࡘࡢࢧࣈࢩࢫࢸ࣒࠿ࡽᵓᡂࡉࢀ࡚࠸ࡿ㸬䠉㻞㻠㻡䠉

HPC@JAXA2015
ィ⟬ࢩࢫࢸ࣒ࡣ㸪ᐩኈ㏻ FX100 ࡛ࢫࣃࢥࣥࢩࢫࢸ࣒ࡢ୰࡛᭱኱ࡢ₇⟬ᛶ⬟ࢆᣢࡘ㒊ศ࡛࠶ࡿ㸬ࣉ࣏ࣞࢫࢺࢩࢫࢸ࣒ࡣ㸪᱁Ꮚ⏕ᡂ㸪ྍど໬࢔ࣉࣜࢣ࣮ࢩࣙࣥཬࡧࢯࣝࣂ࣮➼ࡢᕷ㈍࢔ࣉࣜࢣ࣮ࢩࣙࣥࢆࣂࢵࢳᆺཬࡧ
఍ヰᆺ࡛ᐇ⾜ࡍࡿࡶࡢ࡛࠶ࡿ㸬SORA-MA ࡛⾜ࡗࡓᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࡸࢹ࣮ࢱฎ⌮ࡢ⤖ᯝࣇ࢓࢖ࣝࢆ௚
ࡢሙᡤ࡟ࢥࣆ࣮ࡍࡿࡇ࡜࡞ࡃ┤᥋᧯సࡍࡿ㐲㝸ྍど໬ᶵ⬟ࢆഛ࠼࡚࠸ࡿ㸬኱࣓ࣔࣜィ⟬ࢩࢫࢸ࣒ࡣ㸪ศᩓ࣓ࣔࣜ୪ิ໬ࡀᅔ㞴࡛኱ࡁ࡞࣓ࣔࣜࢆᚲせ࡜ࡍࡿ࢔ࣉࣜࢣ࣮ࢩࣙࣥࢆࣂࢵࢳᆺ࡞࠸ࡋ఍ヰᆺ࡛ᐇ⾜ࡍࡿࡓࡵࡢ
ࡶࡢ࡛࠶ࡿ㸬ࡲࡓ㸪SORA-PP ࡜ྠᵝࡢ┠ⓗ࡛㸪㐲㝸ྍど໬ᶵ⬟ࢆഛ࠼࡚࠸ࡿ㸬ࣟࢢ࢖ࣥࢩࢫࢸ࣒ࡣ㸪
SORA-MA㸪SORA-PP㸪SORA-LM ࡛ᐇ⾜ࡍࡿࣉࣟࢢ࣒ࣛࡢ⦅㞟ࡸࢥࣥࣃ࢖ࣝࢆ⾜࠸㸪ࣂࢵࢳࢪࣙࣈ࡜ࡋ
࡚ᢞධࡍࡿࡶࡢ࡛࠶ࡿ㸬ࣇ࢓࢖ࣝࢩࢫࢸ࣒㒊ࡣ㸪኱つᶍ࡞ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥࡸࢹ࣮ࢱฎ⌮ࡢࣇ࢓࢖ࣝ᧯
సཬࡧ㸪ࢯ࣮ࢫࢥ࣮ࢻࡢಖᏑ➼ࢆ⾜࠺ࡓࡵࡢ㧗㏿࣭㧗ྍ⏝࡞ࢡࣛࢫࢱ࣮ᆺࡢࣇ࢓࢖ࣝࢩࢫࢸ࣒࡛࠶ࡿ㸬⟶⌮࣭ไᚚ㒊ࡣ㸪ࢪࣙࣈ⟶⌮㸪ㄢ㔠࣭⤫ィ⟶⌮㸪✵ㄪタഛࡸ෭༷タഛ➼ࡢእ㒊タഛࢆไᚚࡍࡿ⮬ື㐠㌿ᶵ⬟ࢆᥦ౪ࡍࡿࡶࡢ࡛࠶ࡿ㸬࢔࣮࢝࢖ࣂ㒊(J-SPACE)ࡣ㸪㝵ᒙ⟶⌮ᆺࢫࢺ࣮ࣞࢪࢩࢫࢸ࣒࡜ࡋ࡚ᵓᡂࡉࢀ࡚㸪ࢫࣃࢥࣥ㒊ศ(SORA)࡜
ࡣ⊂❧ࡋ࡚✌ືࡍࡿࢡࣛࢫࢱ࣮ᆺࡢ࢔࣮࢝࢖ࣈ⿦⨨࡛㸪኱つᶍࣇ࢓࢖ࣝࡸ㛗ᮇಖᏑࡀᚲせ࡞ࣇ࢓࢖ࣝࡢಖᏑ
ᗜ࡛࠶ࡾ㸪㧗㏿࡞ࣇ࢓࢖ࣝධฟຊᶵ⬟࡜」ᩘࡢ࣮ࣘࢨ࢖ࣥࢱ࣮ࣇ࢙࣮ࢫࢆᣢࡗ࡚࠸ࡿ㸬㐲㝸㒊ࡣ㸪JAXA ࡢࡘࡃࡤ஦ᴗᡤ㸪ゅ⏣஦ᴗᡤ㸪┦ᶍཎ஦ᴗᡤ࠿ࡽ㸪SORA ࡸ J-SPACE ࢆຠ⋡ⓗ࡟฼⏝ࡍࡿࡶࡢ࡛࠶ࡿ㸬JSS2 ࡢ୺せࢩࢫࢸ࣒ࡢㅖඖࢆ⾲ 1-1 ࡟♧ࡍ㸬

ࢩࢫࢸ࣒ྡ

ᶵ✀ྡ
ࣀ࣮ࢻᩘ
⥲⌮ㄽ₇⟬ᛶ⬟1 㺧㺎㺢㺼ࡢࢥ࢔ᩘ
1 㺧㺎㺢㺼ࡢ CPU ᩘ
1 㺧㺎㺢㺼ࡢ࣓ࣔࣜ㔞⾲ 1-1 JSS2 ࡢ୺せㅖඖ(2016 ᖺ 3 ᭶ 31 ᪥᫬Ⅼ)ィ⟬ࢩࢫࢸ࣒
ࣉ࣏ࣞࢫࢺ
኱࣓ࣔࣜ
ࢩࢫࢸ࣒
ィ⟬ࢩࢫࢸ࣒
(SORA-MA)(SORA-PP)(SORA-LM)
ᐩኈ㏻ FX100
ᐩኈ㏻ RX350 S8
ᐩኈ㏻ RX350 S8
1296
160
5
1.31PFLOPS
53.7TFLOPS
2.10TFLOPS
32
6
8
1
2
2
32GB
64GB
1024/512GB

෗┿㸸JSS2/SORA-MA ࢩࢫࢸ࣒

䠉㻞㻠㻢䠉

ࡘࡃࡤ
ࣉ࣏ࣞࢫࢺࣀ࣮ࢻ
(SORA-TPP)
ᐩኈ㏻ RX350 S825
8.40TFLOPS
6
2
64GB

HPC@JAXA2015㞀ᐖⓎ⏕≧ἣ
JSS2/SORA(MA㸪PP㸪LM㸪J-SPACE)ࢩࢫࢸ࣒ࡢ㞀ᐖⓎ⏕≧ἣࢆᅗ 2-1 ࡟♧ࡍ㸬
ᖹᡂ 27 ᖺᗘࡣ SORA-MAࡢ㐠⏝ࡀ㛤ጞࡉࢀࡓࡓࡵ࠿ึᮇ㞀ᐖࡀ࠿࡞ࡾከࡃⓎ⏕ࡋ࡚࠸ࡿ㸬ᅗ 2-1 JSS2/SORA ࢩࢫࢸ࣒㞀ᐖ௳ᩘ
900

120
HW᭶ู㞀ᐖ௳ᩘ

800

SW᭶ู㞀ᐖ௳ᩘ
100
HW⣼ィ㞀ᐖ௳ᩘ

80

700

SW⣼ィ㞀ᐖ௳ᩘ

600

500
⣼
ィ
400

᭶ 60
ู

300

40

200
20
100

0

0




㐠⏝ᴫせᖹᡂ 27 ᖺᗘ 4 ᭶࠿ࡽࡢ JSS2/SORA-MA ࢩࢫࢸ࣒ࡢ✌ാ≧ἣࢆ⾲ 3-1 ࡟♧ࡍ㸬
4 ᭶ࡢ✌ാᙜึࡣ࣮ࣘࢨᩘ
ࡀᑡ࡞࠸ࡇ࡜ࡶ࠶ࡾ✌ാ⋡ࡣ 34.9㸣࡜࠿࡞ࡾప࠸㸬ࡑࡢᚋࡣ㸪࣮ࣘࢨࡀ SORA-PP ࠿ࡽ⛣⾜ࡋࡓࡇ࡜ࡶ࠶ࡾ
ᚎࠎ࡟✌ാ⋡ࡣୖࡀࡗ࡚࠸ࡿ㸬ࡋ࠿ࡋ㸪7 ᭶࡟Ⓨ⏕ࡋࡓ SORA-FS ࡢ㞀ᐖ࡟క࠸㛗ᮇ㛫㐠⏝ࢆ೵Ṇࡋࡓࡓࡵ
7 ᭶ࡢ✌ື⋡ࡣ࠿࡞ࡾపࡃ࡞ࡗ࡚࠸ࡿ㸬ᅗ 3-1 ࡟ JSS2/SORA-MA ࢩࢫࢸ࣒ࡢᖹᡂ 27 ᖺᗘࡢࢥ࢔ᩘูࡢࢪࣙࣈࡢᐇ⾜≧ἣࢆ♧ࡍ㸬౑⏝ࡋࡓࢥ࢔ᩘู࡟Ⰽศࡅࡋ࡚࠶ࡾ㸪⦪㍈ࡣᙜヱ᭶ࡢ඲࡚ࡢࢪࣙࣈᐇ⾜ࢥ࢔᫬㛫ࢆ 100%࡜ࡋࡓሙྜࡢ㸪ࡑࢀࡒࢀࡢࢥ࢔ᩘつᶍࡢࢪࣙࣈࡢ๭ྜࢆぢࡿࡇ࡜ࡀ࡛ࡁࡿ㸬
4 ᭶ࡢ㐠⏝ᙜึࡣ 384~3456 ࢥ࢔ࡢࢪࣙࣈࡀ୺ὶ࡟࡞ࡗ࡚࠸ࡿࡀ 10 ᭶௨㝆ࡣ㧗࠸ࢥ࢔ᩘࡢࢪࣙࣈࡶቑ࠼࡚
࠸ࡿ㸬

䠉㻞㻠㻣䠉

HPC@JAXA2015
⾲ 3-1 JSS2/SORA-MA ࢩࢫࢸ࣒✌ാ≧ἣ㸦᫬㛫༢఩㸸᫬㛫㸧㹁㹎㹓✌ື≧ἣࢪࣙࣈฎ⌮ィ⏬㐠⏝᫬㛫

⥲ CPU
㟁※ᢞධ
᫬㛫
(E)

㟁※
ᢞධ
᫬㛫࡟
ᑐࡍࡿ
CPU
✌ാ⋡
(A)/(E)㐠⏝᪥ᩘ೵Ṇ᫬㛫(ᐇ᫬㛫)

ࣂࢵࢳ
ࢪࣙࣈ
⥲๭ᙜ
᫬㛫
(A)

CPU
✌ാ
⋡
(A)
/(B)

ฎ⌮ྍ⬟
᫬㛫

㞀ᐖ
᫬㛫

㐠⏝᫬㛫
ྜィ
(B)

ィ⏬እ
೵Ṇ

ಖᏲసᴗ

ண࿌೵㟁

ᑠィ

201504

9,898,331

34.9%

27,378,548

966,735

28,345,283

02,315,404

165,8882,481,292

28,715,115

34.47%

30

201505

15,109,374

56.3%

26,579,386

243,459

26,822,845

0

3,819,590

456,192

4,275,782

29,745,689

50.80%

30

201506

19,688,858

68.6%

28,376,829

301,059

28,677,888

62,2081,089,027

393,984

1,545,219

29,080,773

67.70%

30

201507

18,131,968

58.8%

30,585,662

269,506

30,855,168

6,567,921

269,506

0

6,837,427

24,023,639

75.48%

31

20150823,581,566

79.0%

29,503,860

355,980

29,859,840

108,656

1,351,308

0

1,459,965

26,835,142

87.88%

29

20150922,562,608

76.3%

29,441,607

127,929

29,569,536

0418,2330418,233

29,745,488

75.85%

30

20151025,083,711

83.0%

30,066,031

167,057

30,233,088

0

789,137

0789,137

30,603,749

81.96%

31

201511

23,479,283

80.5%

28,664,606

515,093

29,179,699

0

1,195,234

01,195,234

29,762,496

78.89%

30

201512

22,510,310

87.4%

25,500,840

260,322

25,761,162

0

4,815,192

539,136

5,354,328

25,724,999

87.50%

29

201601

24,018,959

87.3%

27,297,723

218,949

27,516,672

82,944

3,557,445

03,640,389

28,138,047

85.36%

28

201602

20,895,162

89.2%

23,308,943

128,128

23,437,071

0

5,555,569

0

5,555,569

25,376,010

82.34%

28

201603

21,963,141

86.7%

25,229,558

104,857

25,334,415

0

5,625,610

05,625,610

25,109,639

87.47%

30

2015Total

246,923,273

73.6%

331,933,593

3,659,075

335,592,688

6,821,729

30,801,255

1,555,200

39,178,184

332,860,788

74.18%356

㐠⏝᭶ḟ᭶ูࢥ࢔ᩘࡈ࡜ࡢ฼⏝ࢥ࢔๭ᙜ᫬㛫
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%

20737㹼41472
6913㹼20736
3457㹼6912
384㹼3456
97㹼384

2016/3

2016/2

2016/1

2015/122015/112015/10

2015/92015/8

2015/7

2015/6

2015/5

2015/432㹼96
0㹼32

ᅗ 3-1 JSS2/SORA-MA ࢩࢫࢸ࣒ࡢࢥ࢔ᩘูࢪࣙࣈࡢᐇ⾜≧ἣᖹᡂ 27 ᖺᗘࡢ JSS2/SORA-PP ࢩࢫࢸ࣒ࡢ✌ാ≧ἣࢆ⾲ 3-2 ࡟♧ࡍ㸬4 ᭶ࡢ✌ാ⋡ࡣ 90㸣࡜࠿࡞ࡾ㧗࠸ᩘ್ࢆ♧ࡋ࡚࠸ࡿࡀࠊJSS2/SORA-MA ࢩࢫࢸ࣒ࡢ㐠⏝ࡀ㛤ጞࡉࢀࡓࡇ࡜ࡶ࠶ࡾ㸪࣮ࣘࢨࡀ SORA-MA ࢩࢫࢸ࣒࡬⛣⾜ࡋࡓࡇ࡜ࡸ 7 ᭶࡟Ⓨ⏕ࡋࡓ SORA-FS ࡢ㞀ᐖ࡟క࠸㛗ᮇ㛫㐠⏝ࢆ೵Ṇࡋࡓࡓࡵᖹᆒ 77㸣࡜ࡸࡸపࡵ
ࡢ✌ാ⋡࡟࡞ࡗ࡚࠸ࡿ㸬䠉㻞㻠㻤䠉

HPC@JAXA2015
ᅗ 3-2 ࡟ᖹᡂ 27 ᖺᗘࡢࢥ࢔ᩘูࡢࢪࣙࣈࡢᐇ⾜≧ἣࢆ♧ࡍ㸬౑⏝ࡋࡓࢥ࢔ᩘู࡟Ⰽศࡅࡋ࡚࠶ࡿ㸬඲⯡ⓗ࡟ 384 ࢥ࢔ࡲ࡛ࡢࢪࣙࣈࡀ୺ὶ࡟࡞ࡗ࡚࠾ࡾ㸪1 ᭶௨㝆࡟ࡣ㧗࠸ࢥ࢔ᩘࡢࢪࣙࣈࡀከᑡᐇ⾜ࡉࢀ࡚࠸ࡿ㸬

⾲ 3-2 JSS2/SORA-PP ࢩࢫࢸ࣒✌ാ≧ἣ㸦᫬㛫༢఩㸸᫬㛫㸧㹁㹎㹓✌ື≧ἣࢪࣙࣈฎ⌮ィ⏬㐠⏝᫬㛫

ࣂࢵࢳ
ࢪࣙࣈ
⥲๭ᙜ
᫬㛫
(A)

CPU
✌ാ
⋡
(A)
/(B)

ฎ⌮ྍ⬟
᫬㛫

㞀ᐖ
᫬㛫

㐠⏝᫬㛫
ྜィ
(B)

ィ⏬እ
೵Ṇ

201504

1,111,736

90.4%

1,230,264

01,230,264

201505

879,63675.6%

1,164,1860201506

1,104,766

88.8%

1,242,534

201507

857,894

64.1%

㐠⏝
᭶ḟ

⥲ CPU
㟁※ᢞධ
᫬㛫
(E)

㟁※
ᢞධ
᫬㛫࡟
ᑐࡍࡿ
CPU
✌ാ⋡
(A)/(E)

㐠⏝
᪥ᩘ

೵Ṇ᫬㛫

ಖᏲ
సᴗ

ண࿌
೵㟁

ᑠィ

0

58,536

7,200

65,736

1,268,668

87.63%

30

1,164,1860

155,214

19,800175,0141,307,401

67.28%

30

2,166

1,244,700

2,700

36,366

17,10056,166

1,267,198

87.18%

30

1,337,786

1,414

1,339,200

284,9401,414

0286,354

1,071,556

80.06%

31

201508781,41160.3%

1,294,586

1,414

1,296,000

4,716

44,614049,3301,172,100

66.67%

29

201509981,85076.5%

1,283,400

01,283,400

012,600012,6001,296,000

75.76%

30

201510869,775

66.3%

1,312,200

01,312,200

027,000027,0001,339,200

64.95%

31

201511

992,02678.3%

1,266,480

01,266,480

029,520029,5201,296,000

75.55%

30

201512998,51989.3%

1,118,106

0

1,118,106

0

197,694

23,400221,094

1,122,000

88.99%

29

201601

1,113,076

93.2%

1,194,300

01,194,300

0144,900

0

144,900

1,225,799

90.80%

28

201602738,98272.7%

1,017,234

01,017,234

0

235,566

0235,566

1,176,301

62.82%

28

201603803,60873.1%

1,099,584

0

1,099,584

0239,616

0

239,616

1,090,798

73.67%

30

2015Total

11,233,279

77.1%

14,560,660

4,994

14,566,654

292,356

1,245,546

67,5001,605,462

14,633,018

76.77%

356

᭶ูࢥ࢔ᩘࡈ࡜ࡢ฼⏝ࢥ࢔๭ᙜ᫬㛫
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%

1537㹼1920
769㹼1536385㹼768193㹼38449㹼192

2016/3

2016/2

2016/1

2015/122015/112015/10

2015/92015/8

2015/7

2015/6

2015/5

2015/413㹼48
0㹼12

ᅗ 3-2 JSS2/SORA-PP ࢩࢫࢸ࣒ࡢࢥ࢔ᩘูࢪࣙࣈࡢᐇ⾜≧ἣ䠉㻞㻠㻥䠉

HPC@JAXA2015

࣮ࣘࢨⓏ㘓≧ἣ
JSS2 ࡢ࣮ࣘࢨⓏ㘓≧ἣࢆ⾲ 4-1 ࡟♧ࡍ㸬JSS2 ࡛ࡣ JAXA ෆ㒊ࡢ୍⯡฼⏝ࡢ࡯࠿㸪ඹྠ◊✲ࡸ JSS2 ኱Ꮫඹྠ฼⏝ࡸ᭷ൾ࡟ࡼࡿタഛ㈚௜➼㸪እ㒊ࡢ࣮ࣘࢨ࡟ࡶ฼⏝࠸ࡓࡔ࠸࡚࠸ࡿ㸬⾲ 4-1 ࣮ࣘࢨⓏ㘓≧ἣ                         㸦ே㸧
ศ㢮
ෆ㒊฼⏝
ඹྠ◊✲
JSS2 ኱Ꮫඹྠ฼⏝タഛ㈚௜
◊ಟ⏕࣭Ꮫ⏕
ὴ㐵࣭ㄳ㈇࣭ጤク◊✲
ྜィ

Ⓩ㘓ேᩘ
281
35
38
7
71
153
585



࣮ࣘࢨ༊ศู฼⏝≧ἣ
JSS2/SORA-MA ࢩࢫࢸ࣒ࡢ࣮ࣘࢨ༊ศู฼⏝๭ྜࢆᅗ 5-1 ࡟♧ࡍ㸬9 ๭ᙉࡀෆ㒊฼⏝࡛༨ࡵ࡚࠸ࡿ㸬እ㒊฼⏝࡜ࡋ࡚ࡣ㸪ඹྠ◊✲㸪タഛ㈚௜㸪JSS2 ኱Ꮫඹྠ฼⏝ࡀ࠶ࡿࡀࠊඹྠ◊✲ࡢ฼⏝๭ྜࡀ᭱ࡶከ࠸㸬
JSS2/SORA-PP ࢩࢫࢸ࣒ࡢ࣮ࣘࢨ༊ศู฼⏝๭ྜࢆᅗ 5-2 ࡟♧ࡍ㸬SORA-MA ࡜ྠᵝ࡟⣙ 9 ๭ࡀෆ㒊฼⏝࡛༨ࡵ࡚࠸ࡿ㸬 እ㒊฼⏝࡜ࡋ࡚ࡣ㸪JSS2 ኱Ꮫඹྠ฼⏝ࡢ฼⏝๭ྜ࡜ࡋ࡚ࡣ᭱ࡶከ࠸㸬

JSS2/SORA-MA࣮ࣘࢨ༊ศู฼⏝๭ྜ
4.7% 1.0%

0.8%

ෆ㒊
ඹྠ◊✲
タഛ㈚௜
JSS2኱Ꮫඹྠ฼⏝93.6%

ᅗ 5-1 JSS-㹋࣮ࣘࢨ༊ศู฼⏝๭ྜ䠉㻞㻡㻜䠉

HPC@JAXA2015

JSS2/SORA-PP࣮ࣘࢨ༊ศู฼⏝๭ྜ
5.0% 0.004%

8.6%
ෆ㒊
JSS2኱Ꮫඹྠ฼⏝
ඹྠ◊✲
タഛ㈚௜
86.3%

ᅗ 5-2 JSS2/SORA-PP ࣮ࣘࢨ༊ศู฼⏝๭ྜศ㔝ู฼⏝๭ྜ
JSS2/SORA-MA ࢩࢫࢸ࣒ࡢ஦ᴗࢥ࣮ࢻูィ⟬ᶵ฼⏝㔞ࢆᅗ 6-1 ࡟♧ࡍ㸬㔜Ⅼ฼⏝ࡢᯟ⤌ࡳ࡛ࡣࠊ10 ௳ࡢ஦ᴗࢥ࣮ࢻࡀタᐃࡉࢀ࡚࠾ࡾࠕᶵయ㦁㡢పῶᢏ⾡ࡢ㣕⾜ᐇドࠖ࡜ࠕH3 ࣟࢣࢵࢺࣉࣟࢪ࢙ࢡࢺࠖࡢ஦ᴗ࡛㔜Ⅼ฼⏝ࡢᯟ⤌ࡳࡢ 50㸣⛬ᗘࡢ฼⏝ࡀ࠶ࡿ㸬୍⯡฼⏝ࡢᯟ⤌ࡳ࡛ࡣࠊ71 ௳ࡢ஦ᴗࢥ࣮ࢻࡀタᐃࡉࢀ࡚࠾ࡾࠕෆ
㒊ὶ࣭⇞↝࣭ᅇ㌿ᶵჾゎᯒᢏ⾡ࠖࡢ஦ᴗ࡛ࡢ฼⏝ࡀ᭱ࡶከ࠸㸬ᅗ 6-1 JSS2/SORA-MA ࡟࠾ࡅࡿ฼⏝ࡢᯟ⤌ࡳẖࡢ஦ᴗࢥ࣮ࢻูィ⟬ᶵ฼⏝㔞䠉㻞㻡㻝䠉

宇宙航空研究開発機構特別資料
JAXA Special Publication

JAXA-SP-16-003

平成27年度JAXAスーパーコンピュータシステム利用成果報告
JAXA Supercomputer System Technical Summaries 2015
発

行

編

集

発
行
日
電 子 出 版 制 作

国立研究開発法人 宇宙航空研究開発機構（JAXA）〒182-8522 東京都調布市深大寺東町7-44-1
URL: http://www.jaxa.jp/
セキュリティ・情報化推進部 スーパーコンピュータ活用課
JSSシステム利用成果報告書編集チーム
編集リーダ
藤田直行
編集スタッフ 吉田正廣・竹本勇介・末松和代
平成28年9月30日
松枝印刷株式会社©2016 JAXA
※本書の一部または全部を無断複写・転載・電子媒体等に加工することを禁じます。

Unauthorized copying, replication and storage degital media of the contents of this publication, text and images are strictly
prohibited. All Rights Reserved.