JAXA Special Publication JAXA-SP-19-003E

Innovation for Design, Data-acquisition, Trouble-shoot and Certificationin Aircraft Development: Basic Techniques for Real Flight Prediction
Report Number: R18EA3203
Subject Category: Aeronautical Technology
URL: https://www.jss.jaxa.jp/en/ar/e2018/9084/
Responsible Representative
Shigeru Hamamoto, Aerodynamics Research Unit, Aeronautical Technology Directorate
Contact Information
Kazuyuki Nakakita, Aerodynamics Research Unit, Aeronautical Technology Directorate(nakakita@chofu.jaxa.jp)
Members
Kazuyuki Nakakita, Shunsuke Koike, Shigeru Kuchiishi, Kanako Yasue, Hiroshi Kato, Mitsuhiro Murayama,Kentaro Tanaka, Tohru Hirai, Yasushi Ito, Keita Hatanaka, Hiroya Toriida
Abstract
The Aerodynamic Prediction Technology, which is a part of the Innovation for Design, Data-acquisition,Trouble-shoot and Certification in Aircraft Development, constructs the assist technologies to accelerate domestic
aircraft development sequences using basic aerodynamic technologies. The target of the Aerodynamic Prediction
Technology is paradigm shift from artisanal prediction to analytical one to accelerate domestic aircraft
development sequences. This research aims to develop a computational fluid dynamics (CFD) method forsimulating the effect of aerodynamic devices, such as vortex generators (VGs), to predict the effect of theaerodynamic devices on real aircraft.
Ref. URL: http://www.aero.jaxa.jp/eng/research/basic/application/
Reasons for using JSS2
Computational simulations using the JSS2 reveal detailed physical phenomena of the aerodynamic devices,which is difficult only with wind tunnel tests, and enable to improve the design of the devices.
Achievements of the Year
CFD simulations with the TAS code were conducted for JAXA’s high-lift wing noise research model, OTOMO2,
with and without vortex generators (VGs). The automatic local remeshing method of an unstructured grid
generator, MEGG3D, enabled us to conduct an efficient parametric study of VG locations on the flap. Vortices
from VGs placed on the flap interact with the boundary layer on it, suppress boundary layer separation, andimprove the flap performance (Fig. 1).

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JAXA Supercomputer System Annual Report (April 2018-March 2019)

Fig. 1: Skin-friction distributions and surface streamlines: (a) baseline
configuration; (b) Configuration with eight VGs placed at 15% chord locations

Publications- Peer-reviewed papers
1) Namura, N., Shimoyama, K., Obayashi, S., Ito, Y., Koike, S., and Nakakita, K., “Multipoint Design
Optimization of Vortex Generators on Transonic Swept Wings,” Journal of Aircraft, accepted for publication.
- Non peer-reviewed papers
1) Koike, S., Ito, Y., Murayama, M., Nakakita, K., Yamamoto, K., and Kusunose, K., “ExperimentalInvestigation of Vertical Stabilizer with Vortex Generators and Dorsal Fin,” AIAA Paper 2018-3180, 2018 Applied
Aerodynamics Conference, Atlanta, GA, June 2018, DOI:10.2514/6.2018-3180.
2) Ito, Y., Murayama, M., Koike, S., Yamamoto, K., Nakakita, K., and Kusunose, K., “ComputationalInvestigation of Vertical Stabilizer with Vortex Generators and Dorsal Fin,” AIAA Paper 2018-3530, 2018 Flow
Control Conference, Atlanta, GA, June 2018, DOI:10.2514/6.2018-3530.

Usage of JSS2
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Computational Information
Process Parallelization Methods

MPI

Thread Parallelization Methods

OpenMP

Number of Processes

216 - 324

Elapsed Time per Case

24 Hour (s)Resources Used
Fraction of Usage in Total Resources*1 (%): 1.21－73－

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JAXA Special Publication JAXA-SP-19-003E

Details
Computational Resources
System Name

Amount of Core Time(core x hours)

Fraction of Usage*2 (%)

SORA-MA

11,273,945.20

1.38

SORA-PP

4,505.17

0.04

SORA-LM

608.930.28

SORA-TPP

0.00

0.00

File System Resources
File System Name

Storage Assigned (GiB)

Fraction of Usage*2 (%)

/home

60.94

0.06

/data

6,966.01

0.12/ltmp

4,956.71

0.42

Archiver Resources
Archiver Name

Storage Used (TiB)

J-SPACE

Fraction of Usage*2 (%)
4.41

0.15

*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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