FQUROH-A: CFD Code Modifications
JAXA Supercomputer System Annual Report February 2021-January 2022
Report Number: R21EDA101R29
Subject Category: Aeronautical Technology
- Responsible Representative: Yasushi Watanabe, Program Director of Aviation Technology, Aviation Technology Directorate
- Contact Information: Mitsuhiro Murayama, Airframe Noise Reduction Team, Aviation Technology Directorate(murayama.mitsuhiro@jaxa.jp)
- Members: Mitsuhiro Murayama, Kentaro Tanaka, Tomoaki Ikeda, Yosuke Matsumura
Abstract
In order to meet the projected demand for air passengers, and to strengthen the international competitiveness of Japan airports and improve the convenience of passengers, major airports are considering increasing the number of takeoffs and landings. The maturity of the technology for the reduction of airframe noise generated at high-lift devices and landing gear needs to be increased to achieve noise reduction in areas surrounding airports even with the expected increased number of takeoffs and landings. In this project, we have been developing a flight test plan using a commercial airplane that demonstrates the reduction of airframe noise as part of activities aimed at practical development of the airframe noise reduction technology. Computational simulations have been utilized to verify the feasibility of practical noise reduction concepts and design methods.
In this work, operation check and debug of the modified CFD code on JSS is conducted.
Reference URL
Please refer to http://www.aero.jaxa.jp/eng/research/ecat/fquroh/ .
Reasons and benefits of using JAXA Supercomputer System
The JSS is used to understand detailed physics of noise generation, and to optimize noise reduction designs. The FQUROH-A Research aims to accelerate technology maturity of airframe noise reduction methods using advanced high-fidelity computational simulations on the JSS’s high performance computing platform and to demonstrate the high-fidelity design technologies through flight tests. Computational simulations using the JSS make it possible to design low-noise devices by understanding detailed physical phenomena, which is difficult to obtain only with wind tunnel tests.
Achievements of the Year
The pre-processing and flow solver in the CFD code were modified with debuging through application to a large scale practical problem on JSS.
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 1 – 300
- Elapsed Time per Case: 10 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.01
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 | 54990.67 | 0.00 |
TOKI-ST | 23644.94 | 0.03 |
TOKI-GP | 0.00 | 0.00 |
TOKI-XM | 0.00 | 0.00 |
TOKI-LM | 0.00 | 0.00 |
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 | 52.80 | 0.05 |
/data and /data2 | 53984.08 | 0.58 |
/ssd | 517.80 | 0.13 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 6.78 | 0.05 |
*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) | 37.33 | 0.03 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2021-January 2022