Integrated Simulation over aircraft, rotorcraft and engines
JAXA Supercomputer System Annual Report February 2023-January 2024
Report Number: R23EDA201G21
Subject Category: Aeronautical Technology
- 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.
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.
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 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 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 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