Numerical simulations for the development of an active flow control methodology focusing on the characteristic structures of fluid flows

JAXA Supercomputer System Annual Report February 2025-January 2026

Report Number: R25EACA58

Subject Category: JSS Inter-University Research

Responsible Representative: Shintaro Sato, Assistant professor, Tohoku University
Contact Information: Shintaro Sato(shintaro.sato.c3@tohoku.ac.jp)
Members: Shintaro Sato

Abstract

Controlling fluid flows to a preferred state in terms of energy efficiency is an important issue in fluid mechanics. However, it is still challenging to accurately estimate the fluid flow state and accurately determine the control inputs when the fluid flow exhibits a turbulent state. This study aims to develop a framework that provides insights into active flow control based on characteristic structures extracted from experimental or numerical simulation results.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

The objective of this study is to model the parameter dependence of the characteristic structures extracted from experimental or numerical simulation results in order to gain insight into active flow control. The time-series flow field dataset containing flow fields (turbulent flows) for a variety of flow parameters is required to achieve this objective. Therefore, the use of supercomputers is indispensable to achieve the objective of this study.

Achievements of the Year

We analyzed the flow field around an airfoil using parametric modal analysis based on matrix manifolds. In particular, a method was proposed to interpolate spectral POD modes across different parameters. In addition, the approach was extended from a Grassmann-manifold-based method to a Stiefel-manifold-based method, which enables sensitivity analysis of the POD modes. Furthermore, the method was applied to the estimation of flow fields from limited sensor measurements, allowing reconstruction of flow field over a wide range of parameters. The proposed framework is applicable to a broad class of modal-analysis-based problems involving parametric dependence.

Publications

- Oral Presentations

1. S. Sato and O. T. Schmidt, "Parametric representation and sensitivity analysis of proper-orthogonal-decomposition modes on matrix manifolds," APS Division of Fluid Dynamics Annual Meeting, Houston, TX, November 2025.

2. Y. Zhu, S. Sato, and O. T. Schmidt,"SPOD Mode Interpolation with Frequency Alignment on Grassmannian Manifold,"AIAA SciTech Forum, Orland, FL, January 2026.

Usage of JSS

Computational Information

Process Parallelization Methods: MPI
Thread Parallelization Methods: N/A
Number of Processes: 1 - 1024
Elapsed Time per Case: 72 Hour(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 0.06

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	1180827.33	0.05
TOKI-ST	0.00	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	0.00	0.00
/data and /data2	102400.00	0.67
/ssd	0.00	0.00

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	3.47	0.01

*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)	0.00	0.00

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