JAXA Special Publication JAXA-SP-19-003E

High-Resolution, Efficient CFD Methods by Second Slope Limiter for Transonic Speeds
Report Number: R18EDA201N10
Subject Category: Aeronautical Technology
URL: https://www.jss.jaxa.jp/en/ar/e2018/9131/
Responsible Representative
Takashi Aoyama, Aeronautical Technology Directorate, Numerical Simulation Research Unit
Contact Information
Keiichi Kitamura (kitamura@ynu.ac.jp)
Members
Atsushi Hashimoto, Keiichi Kitamura, Kanta Fukumoto, Ayano Inatomi, Toshiaki Harada, Suguru Ogawa, YuyaTakagi, Hiroyuki Takimoto, Hiroto Yaginuma, Masashi Kanamori, Naoya Hase, Hayato Kawashima, Yoshikatsu
Furusawa, Ryoyu Uematsu, Takeshi Fujimoto
Abstract
A high-resolution, Delayed DES has been conducted around whole the aircraft under the low-speed buffet
condition. This numerical case is known as a tough problem, since it is difficult to obtain good numerical solutions
that agree well with the corresponding experimental data. In the present study, through extensive investigations ofvarious aspects of CFD schemes (e.g., turbulence models and their coefficients, numerical fluxes, slope limiters),
we proposed a zone-based Delayed DES, coined as “HR-SLAU2-DDES”. Then, we successfully obtained betterpressure distributions on the main wing than the earlier results.
Reasons for using JSS21) Expensive, unsteady CFD around whole the aircraft; 2) Many numerical cases (aerodynamic problems) inwhich our proposed schemes are verified.
Achievements of the YearA high-resolution, Delayed DES has been conducted around whole the aircraft under the low-speed buffetcondition. This numerical case is known as a tough problem, since it is difficult to obtain good numerical solutions
that agree well with the corresponding experimental data. In the present study, we first proposed a simple dirtycell detection method on 3D unstructured grids (FY2017) and published it (FY2018), Then, through extensive
investigations of various aspects of CFD schemes (e.g., turbulence models and their coefficients, numerical fluxes,
slope limiters), we extended it to a zone-based Delayed DES, coined as “HR-SLAU2-DDES”. As a result, betterpressure distributions on the main wing than the earlier results are successfully obtained. For instance, Figs. 1-4show effects of the coefficient “Crot” of SA-noft2-R turbulence model. In this example, it is demonstrated thatthe case with Crot = 2.0 or 0.0 rather than 1.0 has suppressed an excessive separation near the leading-edge of themain wing.
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Fig. 1: Pressure distributions on 28.3% cross-section.

Fig. 2: Flowfield around main wing (28.3% cross-section), Crot = 1.0 (FaSTAR default).

Fig. 3: Flowfield around main wing (28.3% cross-section), Crot = 2.0 (NASA-recommended).

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JAXA Special Publication JAXA-SP-19-003E

Fig. 4: Flowfield around main wing (28.3% cross-section), Crot = 0.0 (no rotation correction).

Publications- Peer-reviewed papers
Kitamura, K., Aogaki, T., Inatomi, A., Fukumoto, K., Takahama, T., and Hashimoto, A.: Post Limiters andSimple Dirty-Cell Detection for Three-Dimensional, Unstructured, (Unlimited) Aerodynamic Simulations, AIAA
Journal, Vol. 56, No. 8, 2018, pp. 3192-3204. doi:10.2514/1.J056683- Oral Presentations
Keiichi Kitamura, Suguru Ogawa, Hiroyuki Takimoto, Masashi Kanamori, and Atsushi Hashimoto, “Low Speed
Buffet Simulation using High-Resolution Delayed-DES”, 51st Fluid Dynamics Conference/37th Aerospace
Numerical Simulation Symposium (to be presented, Jul-2019) (in Japanese)

Usage of JSS2
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Computational Information
Process Parallelization Methods

MPI

Thread Parallelization Methods

OpenMP

Number of Processes

512

Elapsed Time per Case

19.73 Hour (s)Resources Used
Fraction of Usage in Total Resources*1 (%): 1.12－64－

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Details
Computational Resources
System Name

Amount of Core Time(core x hours)

Fraction of Usage*2 (%)

SORA-MA

8,084,309.15

0.99

SORA-PP308,026.29

2.46

SORA-LM

26,345.55

12.28

SORA-TPP

0.00

0.00

File System Resources
File System Name

Storage Assigned (GiB)

Fraction of Usage*2 (%)/home

580.60

0.60

/data

44,527.07

0.79/ltmp

19,287.12

1.65

Archiver Resources
Archiver Name

Storage Used (TiB)

J-SPACE

Fraction of Usage*2 (%)
12.38

0.43

*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System,and Archiver).
*2: Fraction of Usage: Percentage of usage relative to each resource used in one year.

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