本文へ移動

サイトナビゲーションへ移動

検索ボックスへ移動

サイドバーへ移動

ここは、本文エリアの先頭です。

Environment Conscious Aircraft Systems Research in Eco-wing Technology:Aerodynamic System Design Technology

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18EA0601

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Yoshikazu Makino, Aeronautical Technology Directorate, Aviation Systems Research Unit
  • Contact Information: Dongyoun Kwak, Aviation Systems Research Unit(kwak.dongyoun@jaxa.jp)
  • Members: Yoshihisa Aoki, Mitsuhiro Murayama, Dongyoun Kwak, Naoko Tokugawa, Takashi Atobe, Tatsunori Yuhara, Hitoshi Arizono, Fumitake Kuroda, Yoshine Ueda, Keisuke Ohira, Hikaru Aono, Kisa Matsushima, Satoshi Kondo, Tohru Hirai, Kentaro Tanaka, Takashi Matsuno, Monami Sasamori, Shinsuke Nishimura, Minoru Yoshimoto, Kazuhiro Kubota, Takahiro Uchiyama, Takahiro Ishida

Abstract

Innovative drag reduction technologies are investigated to reduce the fuel consumption for a conventional aircraft configuration. Aircraft noise prediction technologies and the conceptual design technologies are also developed for future aircraft which achieve low noise and high efficiency.

Reference URL

Please refer to ‘Eco-wing technology | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Reasons for using JSS2

CFD analysis are used for the understanding of aerodynamic characteristics and evaluation of the performance in the aircraft design phase. Huge calculation resources and costs were required for the high fidelity and quick response CFD analysis for the optimum aerodynamic design process on complex aircraft geometry. JSS2 can achieve those requirements, the cost and time are drastically saved on the CFD analysis.

Achievements of the Year

Aerodynamic design was performed on the wing geometry of TRA2022-3 configuration to reduce the drag on cruise flight condition. Comparing with TRA2022-2 configuration designed on 2017, further drag reduction was achieved by improvements of the natural laminar wing, pressure drag reduction airfoil and the downward rakelet wing tip design.

Annual Reoprt Figures for 2018

Fig.1: Surface pressure distribution and surface flow pattern on TRA2022-3 configuration(M=0.78, CL=0.52)

 

Publications

– Oral Presentations

1. K. Kubota, K. Rinoie and T. Yuhara, Study on the Effects of Toe Angle of Upward Pointing and Downward Pointing Winglets, The Asia-Pacific International Symposium on Aerospace Technology (APISAT), 2018.

2. T. Yuhara, N. Tokugawa, D. Kwak, K. Ohira, S. Kondo, A Transonic Airfoil for Pressure-Drag Reduction and Its Application to Wing, 56th Aircraft Symposium, 2018.(in Japanese)

3. D. Kwak, T. Nomura, K. Ohira, Y. Ueda, Influence of Wing and Thrust Variations on the Fuel Consumption of subsonic aircraft, 56th Aircraft Symposium, 2018.(in Japanese)

4. H. Arizono, K. Ohira, Aerodynamics and Structural Design Studies for Main Wing on Subsonic Aircraft, The Asia-Pacific International Symposium on Aerospace Technology (APISAT), 2018.

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelization
  • Number of Processes: 15 – 1200
  • Elapsed Time per Case: 100 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 1.10

 

Details

Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
SORA-MA 8,516,939.95 1.04
SORA-PP 200,777.77 1.60
SORA-LM 2,214.90 1.03
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 819.75 0.85
/data 86,143.80 1.52
/ltmp 18,820.54 1.61

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 11.02 0.39

*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.

JAXA Supercomputer System Annual Report April 2018-March 2019