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Application of the Cartesian grid and an IB method to the analysis of aircraft engine combustors

JAXA Supercomputer System Annual Report February 2022-January 2023

Report Number: R22EDA102G31

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: MizobuchiYasuhiro, Director, Aviation Technology Directrate, Aviation Lifecycle Innovation Hub
  • Contact Information: Taisuke Nambu, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub(nambu.taisuke@jaxa.jp)
  • Members: Manabu Hisida, Ryohei Kirihara, Takuya Karatsu, Takuhito Kuwabara, Yasuhiro Mizobuchi, Taisuke Nambu, Kei Shimura, Hiroki Yao

Abstract

In order to reduce the cost of mesh genration and achieve practical accuracy, HINOCA-AE, a thermal and fluid dynamics solver with the Cartesian grid, is now being developed. The purpose of this research is to expand the application of numerical analysis for aero engine combustor design.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

Massive-parallel large scale simulation, Large number of simulations fo software validation

Achievements of the Year

In order to verify whether a solver based on the Cartesian grid and the Immersed boundary method can be used to analyze the flow with practical accuracy, a flow analysis was conducted on a test combustor under non-combustion and combustion conditions. Although there are some issues, such as improving the conservation, it was confirmed that the analysis can be performed with practical accuracy.

Annual Reoprt Figures for 2022

Fig.1: Four types of computational grid with different grid densities

 

Annual Reoprt Figures for 2022

Fig.2: Comparison of velocity distributions by computtional grids with different grid densities

 

Publications

– Non peer-reviewed papers

Takuya Karatsu et.al., “Cold-flow numerical simulation of an aero engine combustor with Immersed Boundary method” AJCPP2023

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 1 – 1634
  • Elapsed Time per Case: 168 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.55

 

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 14940636.68 0.65
TOKI-ST 1263.69 0.00
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 218.96 0.01
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 1497.34 1.36
/data and /data2 124408.13 0.96
/ssd 32843.17 4.55

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 3.81 0.02

*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)
28.35 0.02

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

JAXA Supercomputer System Annual Report February 2022-January 2023