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。

Improvement of numerical analysis for internal flow with complicated configuration inside aero-engine

JAXA Supercomputer System Annual Report April 2019-March 2020

Report Number: R19EA2120

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Takashi Aoyama, Aeronautical Technology Directorate, Numerical Simulation Research Unit
  • Contact Information: Kanako Yasue(yasue.kanako@jaxa.jp)
  • Members: Shunji Enomoto, Junichi Kazawa, Atsushi Hashimoto, Takashi Ishida, Shigeru Kuchiishi, Mitsumasa Makida, Hiroki Ugajin, Taisuke Nambu, Keiji Ueshima, Kanako Yasue, Takashi Aoyama

Abstract

Unstructured-grid flow solver FaSTAR-Move and grid generator BOXFUN are applied to aero-engine elements with complicated configuration. Through the calculation, these programs are tested and investigated for the deficiency and future issue for improvement of accuracy.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

For large scale computations in the future, programs should be tested under the same computational environment.

Achievements of the Year

The linear cascade (T106A) with cooling holes was analyzed using the FaSTAR-Move, and the computational results were compared with the experimental ones.

Annual Reoprt Figures for 2019

Fig.1: Mach number distribution of the linear cascade (T106A) with cooling holes.

 

Annual Reoprt Figures for 2019

Fig.2: Velocity vector distribution near the cooling hole.

 

Annual Reoprt Figures for 2019

Fig.3: Static pressure distribution on the blade surface

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 64
  • Elapsed Time per Case: 10 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.36

 

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 2,976,884.96 0.36
SORA-PP 31,404.87 0.20
SORA-LM 0.00 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 181.18 0.15
/data 21,530.18 0.37
/ltmp 4,365.50 0.37

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 10.59 0.27

*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 2019-March 2020