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Integrated Simulation over aircraft, rotorcraft and engines

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23EDA201G21

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Atsushi Hashimoto, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub
  • Contact Information: Taisuke Nambu(nambu.taisuke@jaxa.jp)
  • Members: Andrea Sansica, Hirokazu Higashida, Manabu Hisida, Atsushi Hashimoto, Mami Hayakawa, Kenji Hayashi, Tomoaki Ikeda, Takashi Ishida, Masatoshi Kanayama, Ryohei Kirihara, Masashi Kanamori, Takuhito Kuwabara, Shingo Matsuyama, Yasuhiro Mizobuchi, Taisuke Nambu, Hideji Saiki, Kei Shimura, Kanako Yasue, Hiroki Yao

Abstract

In this study, with the aim of shortening the development period and reducing costs in aircraft development, we are conducting research and development on advanced Model-Based Development (MBD: Model-Based Development) and Model-Based Systems Engineering (MBSE) collaboration technologies with MBD Due to the reorganization of research cards, this fiscal year, we are conducting research and development focused on engine analysis technology under this project code.

As part of the research and development of engine analysis technology, we are conducting research on the advancement of the Cartesian grid CFD solver HINOCA-AE and the Many-block method, which is a unstructured grid method.

Reference URL

Please refer to https://www.aero.jaxa.jp/eng/research/basic/numerical/ .

Reasons and benefits of using JAXA Supercomputer System

JSS is necessary to complete large scale numerical simulations of unsteady phenomena and to understand it in short time span.

Achievements of the Year

As a primary achievement of this project code, we conducted the enhancement of the combustion model implemented in HINOCA-AE. Specifically, we implemented the Flamelet Progress Variables (FPV) method and confirmed that it allows for valid analyses in model combustors and lab-scale burners.

Annual Reoprt Figures for 2023

Fig.1: An example computational result of a gas fuel burner using the FPV method.

 

Annual Reoprt Figures for 2023

Fig.2: An example computational result of a diesel combustion using the FPV method.

 

Publications

– Invited Presentations

Research and development of HINOCA, a thermo-fluid analysis program for automotive and aircraft engines

~High-performance computing in real-world machine analysis, including multi-physics and complex geometry~, HPC Asia

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 1 – 8192
  • Elapsed Time per Case: 480 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 1.01

 

Details

Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.

Computational Resources
System Name CPU Resources Used
(Core x Hours)
Fraction of Usage*2(%)
TOKI-SORA 27290905.38 1.23
TOKI-ST 8161.24 0.01
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 5219.23 0.40
TOKI-TST 0.00 0.00
TOKI-TGP 0.00 0.00
TOKI-TLM 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 1456.11 1.21
/data and /data2 151424.25 0.93
/ssd 33391.09 3.15

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 11.40 0.04

*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.

 

ISV Software Licenses Used

ISV Software Licenses Resources
ISV Software Licenses Used
(Hours)
Fraction of Usage*2(%)
ISV Software Licenses
(Total)
183.38 0.08

*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.

JAXA Supercomputer System Annual Report February 2023-January 2024