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Acoustic Liner Program for High-bypass-ratio Aircraft engines (acoustic performance improvement)

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23EDA101C75

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Kenichiro Nagai, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub
  • Contact Information: Shunji ENOMOTO(enomoto.shunji@jaxa.jp)
  • Members: Shunji Enomoto, Kenichiro Nagai, Hideshi Oinuma, Junichi Oki, Gai Kubo, Tatsuya Ishii

Abstract

Ultra high bypass ratio aviation jet engines have a smaller sound absorbing liner area than conventional engines. In this project, we will develop sound-absorbing device technology that provides high noise reduction performance even with a small-sized sound-absorbing liner.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

To perform many LES calculations by changing the shape of the sound absorbing liner and the incident sound frequency, the calculation performance and the storage capacity of JAXA supercomputer system were required.

Achievements of the Year

In this study, numerical simulations of phenomena that occur when sound is incident on a sound-absorbing liner, which is used to reduce noise in aircraft jet engines, are being conducted. This year, we attempted to simulate sound absorption phenomena by an acoustic liner with multiple resonators. Figure 1 visualizes the sound pressure decrease (sound is blocked) by the acoustic liner when sound is injected from left to right in the absence of grazing flow. Figure 2 shows the phase of sound. A complex sound field is formed by multiple resonators. On the other hand, when a laminar flow with a Mach number of 0.3 was used to simulate the grazing flow over the acoustic liner, the calculation became unstable depending on the calculation conditions because the phenomenon, which should originally be a turbulent flow, was simulated by a laminar flow. For this reason, we changed our approach in the middle of this fiscal year, and used this year as a preparatory period for the development of a new calculation method.

Annual Reoprt Figures for 2023

Fig.1: Sound Pressure (dB)

 

Annual Reoprt Figures for 2023

Fig.2: Sound Pressure (phase)

 

Publications

– Non peer-reviewed papers

Shunji ENOMOTO, Hideshi OINUMA, Kenichiro NAGAI, Junichi OKI, Gai KUBO, Tatsuya ISHII, Yo Murata, “Performance Analysis of Acoustic Liner with Fine-Perforated-Film by Numerical Simulation Using Impulse Response Method”, AIAA 2023-3636

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 4 – 160
  • Elapsed Time per Case: 300 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.28

 

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 4723592.39 0.21
TOKI-ST 397191.52 0.43
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 0.00 0.00
TOKI-TST 471258.62 7.73
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 496.92 0.41
/data and /data2 12595.38 0.08
/ssd 386.15 0.04

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 15.01 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)
107.75 0.05

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

JAXA Supercomputer System Annual Report February 2023-January 2024