Development of improved numerical tools for Certification by Analysis(CbA)

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EDA201G22

Subject Category: Aeronautical Technology

Responsible Representative: Kazuyuki Nakakita, Aviation Technology Department
Contact Information: Andrea Sansica(sansica.andrea@jaxa.jp)
Members: David Lusher, Atsushi Hashimoto, Kenji Hayashi, Yuki Ide, Takashi Ishida, Masashi Kanamori, Yuko Maruyama, Tomoaki Matsuzaki, Yoimi Kojima, Yosuke Sugioka, Kosuke Uchida, Takahiro Yamamoto, Andrea Sansica

Abstract

High-accuracy simulations for stall and buffet are needed during the aircraft design. However, since the simulation cost is very high, we want to develop computation methodologies that aim at high-accuracy results with low computational cost. Hybrid RANS/LES methods (Embedded LES, ELES) have been implemented in FaSTAR and validated for different flow configurations.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

For stall and buffet analysis, it is necessary to perform calculations on 3D complex geometries. Achieving high accuracy requires a large amount of computing power, so it is necessary to use a JAXA supercomputer.

Achievements of the Year

The ELES method developed up to last fiscal year was applied to the NASA CRM configuration under transonic buffet conditions. An examination of the time history of the lift coefficient confirmed that the buffet phenomenon was successfully reproduced. Furthermore, the results obtained using the ELES method were within 5% error compared to experimental data, achieving an accuracy equivalent to that of the high-fidelity WMLES method.

Fig.1: Visualization of ELES for NASA-CRM model in transonic buffet condition

Fig.2: Comparison of time histories of lift coefficient in several methods

Publications

N/A

Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: OpenMP
Number of Processes: 48 - 1537
Elapsed Time per Case: 168 Hour(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 1.76

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	46760402.13	2.14
TOKI-ST	97234.25	0.10
TOKI-GP	12.26	0.00
TOKI-XM	8250.86	4.02
TOKI-LM	25475.74	1.84
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	2186.63	1.47
/data and /data2	171660.01	0.82
/ssd	37253.97	2.00

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	23.00	0.08

*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)	318.38	0.22

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