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Research on low-cost LES and one-dimensional model for aeroengine combustor

JAXA Supercomputer System Annual Report February 2022-January 2023

Report Number: R22EDA201G23

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Yasuhiro Mizobuchi, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub
  • Contact Information: Shingo Matsuyama(matsuyama.shingo@jaxa.jp)
  • Members: Masanori Harada, Nagayoshi Hiromitsu, Kotaro Iguchi, Yuta Kusakabe, Hideki Moriai, Koutarou Munenaga, Shingo Matsuyama, Taisei Miyoshi, Yuichi Taniguchi

Abstract

There is a strong need to incorporate LES that can reproduce combustion phenomena with high fidelity into the design process to improve the efficiency of combustor development for aero and rocket engines, but combustion LES is not widely incorporated into the design process in actual development because of its extremely high computational cost. This research aims to reduce the cost of combustion LES to a level where it can be used for combustor design through reduced dimension modeling (ROM) and other means.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

Modeling with methods such as ROM requires high-fidelity combustion LES data, but combustion LES requires solving the governing equations for a large number of species produced by chemical reactions as a three-dimensional unsteady problem. Such an analysis is computationally expensive and cannot be performed without the use of a supercomputer.

Achievements of the Year

Combustion LES analysis of a rocket combustor with a single coaxial injector was performed using a laminar flamelet model for hydrogen and oxygen diffusion flame. Compared to the high-resolution LES analysis using the detailed reaction model, the cost of LES analysis was successfully reduced to 1/24.

Annual Reoprt Figures for 2022

Fig.1: Results of combustion LES for a hydrogen-oxygen diffusion flame in a coaxial injector. Instantaneous temperature contours by (left) laminar flamelet model and (right) detailed reaction model are shown.

 

Publications

– Oral Presentations

1) Shingo Matsuyama, “LES of a single-element rocket combustor using a laminar flamelet model”, The 60th Japanese Combustion Symposium, K115, 2022.

2) Taisei Miyoshi, Shingo Matsuyama, Hideki Moriai, “Investigation on the flow field of the rocket engine coaxial injector,” The 60th Japanese Combustion Symposium, A324, 2022.

3) Shingo Matsuyama, “Development of a High-Order Spatially Accurate Unstructured Grid Solver Using Many-Block Method,” Symposium on Shock Waves in Japan, 2023.

4) Shingo Matsuyama, “Large-Eddy Simulation of a Shear Coaxial Jet Flame,” JSASS Northern Branch 2016 Annual Meeting, 2023.

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: OpenMP, Automatic Parallelization
  • Number of Processes: 212 – 1504
  • Elapsed Time per Case: 200 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.66

 

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 17949959.07 0.78
TOKI-ST 1993.42 0.00
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 1281.71 0.09
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 115.72 0.10
/data and /data2 2994.29 0.02
/ssd 1092.57 0.15

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.00 0.00

*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)
78.59 0.05

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

JAXA Supercomputer System Annual Report February 2022-January 2023