Research on particle simulation methods

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EDA201G19

Subject Category: Aeronautical Technology

Responsible Representative: Yasuhiro Mizobuchi, Project Manager, Aviation Technology Directorate, XANADU Project Team (Aircraft Digital Transformation Technology Demonstration Project Team)
Contact Information: Hiroki Tsujimura(tsujimura.hiroki@jaxa.jp)
Members: Kenichi Kubota, Keita Nakamoto, Hiroki Tsujimura

Abstract

This research aims to acquire simulation technology using particle methods, known to be useful for simulating multi-physics phenomena, to accelerate aircraft development.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

Using JSS3 was necessary because simulations that involve tens of millions of particles in a large computation domain consume a large amount of memory, which is not available on usual workstations.

Achievements of the Year

To understand and model the underlying physics of aircraft icing, we simulated the phenomenon of a single liquid droplet impinging to a solid object using the Moving Particle Simulation method. Particularly, we used JSS3 to conduct high resolution calculations in order to check the dependency of results on particle resolution. As a result, we found that droplet bounce in a room temperature condition and droplet adhesion to the solid in a supercooled condition were predictable at a relatively low resolution condition (approx. 30 thousand particles). Setting a higher resolution (approx. 2 million particles) enabled capturing local features such as wrinkles that appear on the droplet surface. In addition, we simulated icing on the leading edge of an aircraft main wing using tens of millions of particles and listed future research tasks necessary to improve physical fidelity and to lower computational cost.

Fig.1: Result of a droplet impingement simulation. JSS3 was used for the high resolution case.

Publications

- Oral Presentations

[1] Tsujimura, H., Kubota, K., Development of particle method tool for aircraft icing prediction and its validation through droplet freezing analysis, 42nd Aerospace Numerical Simulation Symposium, 3C07, 2024.

[2] Tsujimura, H., Kubota, K., Numerical analysis of droplet freezing on cold surfaces using the moving particle simulation method, 16th World Congress on Computational Mechanics, 2024.

Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: OpenMP
Number of Processes: 1 - 2
Elapsed Time per Case: 300 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.

Computational Resources
System Name	CPU Resources Used (Core x Hours)	Fraction of Usage*2(%)
TOKI-SORA	4.62	0.00
TOKI-ST	36055.96	0.04
TOKI-GP	0.00	0.00
TOKI-XM	0.00	0.00
TOKI-LM	2955.66	0.21
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	224.21	0.15
/data and /data2	6860.43	0.03
/ssd	0.00	0.00

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)	187.68	0.13

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