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Development of a high-precision unstructured mesh flow solver for aerodynamic design of turbomachinery cascade

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23EDA101C13

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: ISHII Tatsuya, Director, Aviation Technology Directrate, Aviation Environmental Sustainability Innovation Hub
  • Contact Information: Taisuke Nambu, Aviation Technology Directorate, Aviation Environmental Sustainability Innovation Hub(nambu.taisuke@jaxa.jp)
  • Members: Manabu Hisida, Hamidreza Kheirandish, Junichi Kazawa, Takahisa Kohno, Taisuke Nambu, Kanako Yasue

Abstract

FaSTAR-Move-AE, a fluid analysis solver for unstructured meshes, which is mainly targeted at turbomachinery analysis, is developed. This solver will enable aerodynamic analysis of cascades with complex geometry with practical accuracy and cost, and will improve the turbomachinery design of Japanese engine manufacturers.

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

We are conducting the development of the fluid analysis solver FaSTAR-Move-AE using unstructured grids, with a focus on the blade rows of turbo machinery as the main analysis target. This fiscal year, we conducted validation using publicly available data of a linear cascade with the aim of advancing detailed unsteady analysis using DES/LES.

Annual Reoprt Figures for 2023

Fig.1: Comparison of analysis results between conventional advection term analysis scheme (SLAU) and low dissipation scheme (SSKEP). (Left: SLAU method, Right: SSKEP method)

 

Annual Reoprt Figures for 2023

Fig.2: Differences in downstream pressure loss analysis results due to variations in advection term analysis schemes.

 

Publications

– Non peer-reviewed papers

Improvement of Advection Term Analysis Scheme for Aerodynamic Analysis of Blade Rows using Unstructured Grids, 2023 annual meeting of Gas turbine society of Japan

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 1 – 2048
  • Elapsed Time per Case: 240 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.10

 

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 2656834.93 0.12
TOKI-ST 809.32 0.00
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 Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 192.67 0.16
/data and /data2 20900.87 0.13
/ssd 2130.62 0.20

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 7.46 0.03

*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)
21.31 0.01

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

JAXA Supercomputer System Annual Report February 2023-January 2024