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Studies on real flight prediction

JAXA Supercomputer System Annual Report April 2016-March 2017

Report Number: R16E0038

  • Responsible Representative: Takeshi Ito(Aeronautical Technology Directorate, Next Generation Aeronautical Innovation Hub Center)
  • Contact Information: Kazuyuki Nakakita(nakakita@chofu.jaxa.jp)
  • Members: Keiko Kawaguchi, Kazuyuki Nakakita, Kanako Yasue, Rie Tagai, Makoto Ueno, Seigo Koga, Mitsuhiro Murayama, Kentaro Tanaka, Tohru Hirai, Yasushi Ito, Keita Hatanaka, Kohji Suzuki, Takahiro Uchiyama, Hiroya Toriida
  • Subject Category: Aviation(Aircraft)

Abstract

By applying the sophisticated data analysis techniques to unsteady CFD data, we develop a methodology to detecting the sign of unsteady aerodynamic phenomena including buffet.

Goal

Through a series of aerodynamic design sequence in the aircraft development, we aim to speed up that sequence by cutting-edge technologies which enable us to avoid from the delay of the development and speed-up the aerodynamic sequence.

Objective

To speed-up the long-term aerodynamic design process and to develop a technology that alleviates from stopping the sequence of aircraft development.

References and Links

N/A

Use of the Supercomputer

On the detection of unsteady aerodynamic phenomena, static/dynamic DES calculations for a single sing were performed.

Necessity of the Supercomputer

For the detection of unsteady aerodynamic phenomena, a number of large-scaled unsteady analyses are required and the use of supercomputer is inevitable.

Achievements of the Year

For the detection of unsteady aerodynamic phenomena, static DES analyses which fix the angle of attack and dynamic DES analyses which gradually vary the angle of attack are performed respectively for the NACA0012 as a wing configuration with a buffet on-set flow condition. These data are accumulated to validate the method to detect the sign of buffet phenomena using data mining techniques.

Annual Reoprt Figures for 2016

Fig.1:DES result of NACA0012 buffet analysis (iso-surface of eddy viscosity)

 

Publications

N/A

Computational Information

  • Parallelization Methods: Process Parallelization
  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: n/a
  • Number of Processes: 512
  • Number of Threads per Process: 1
  • Number of Nodes Used: 16
  • Elapsed Time per Case (Hours): 336
  • Number of Cases: 30

Resources Used

 

Total Amount of Virtual Cost(Yen): 3,959,607

 

Breakdown List by Resources

Computational Resources
System Name Amount of Core Time(core x hours) Virtual Cost(Yen)
SORA-MA 2,204,616.20 3,605,491
SORA-PP 461.36 3,939
SORA-LM 21.27 478
SORA-TPP 0.00 0

 

SORA-FS File System Resources
File System Name Storage assigned(GiB) Virtual Cost(Yen)
/home 143.32 1,351
/data 27,603.66 260,386
/ltmp 7,424.20 70,032

 

J-SPACE Archiving System Resources
Archiving System Name Storage used(TiB) Virtual Cost(Yen)
J-SPACE 5.81 17,927

Note: Virtual Cost=amount of cost, using the unit price list of JAXA Facility Utilization program(2016)

JAXA Supercomputer System Annual Report April 2016-March 2017