On development of aircraft noise control method based on resolvent analysis

JAXA Supercomputer System Annual Report February 2025-January 2026

Report Number: R25ECMP77

Subject Category: Competitive Funding

Responsible Representative: Kazuyuki Nakakita, Aeronarutical Technology Directorate, Fundamental research unit
Contact Information: Yoimi Kojima(kojima.yoimi@jaxa.jp)
Members: Yoimi Kojima

Abstract

This study aims to develop an efficient method for total temperature suppression using the resolvent analysis method, a technique for analyzing the linear response characteristics of flow. By leveraging resolvent analysis, the goal is to shorten the aircraft noise reduction process, which has traditionally required extensive trial and error.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

In resolvent analysis, it is necessary to perform eigenvalue or singular value decomposition of extremely large matrices, on the order of 50 million by 50 million, making the use of supercomputers essential.

Achievements of the Year

To scale up the resolvent method, we developed a technique to handle the linearized Navier Stokes operator on distributed memory systems. This approach significantly reduces memory consumption: whereas conventional methods require memory proportional to the square of the number of grid points, the proposed method reduces it to the square of (number of grid points / MPI ranks). In addition, the construction of the linear operator has been greatly accelerated. Global stability analysis (GSA) and resolvent analysis were performed for flow around a circular cylinder, confirming that the linear operator was correctly partitioned.

Publications

N/A

Usage of JSS

Computational Information

Process Parallelization Methods: N/A
Thread Parallelization Methods: 0
Number of Processes: 1
Elapsed Time per Case: 0 Second(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 0.86

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	22877865.79	1.04
TOKI-ST	107930.38	0.11
TOKI-GP	0.00	0.00
TOKI-XM	1.52	0.00
TOKI-LM	1.57	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	0.00	0.00
/ssd	0.00	0.00

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	16.79	0.05

*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)	1.91	0.00

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