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Cooperative Research on Airframe Noise Reduction Technology (FQUROH+) #1

JAXA Supercomputer System Annual Report April 2019-March 2020

Report Number: R19EDA101R25

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Kazuomi Yamamoto, FQUROH+ Team, Aviation Systems Research Unit, Aeronautical Technology Directorate
  • Contact Information: Kazuomi Yamamoto(yamamoto.kazuomi@jaxa.jp)
  • Members: Kazuhide Isotani, Yousuke Ueno, Hidemasa Yasuda, Yuta Tsuchimoto, Kazuomi Yamamoto, Yasushi Ito, Mitsuhiro Murayama, Ryotaro Sakai

Abstract

This collaborative research is being carried out as part of the FQUROH (Flight Demonstration of Quiet Technology to Reduce Noise from High-Lift Configurations) project aimed at raising the technical maturity level of the noise reduction technology for high-lift devices and landing gear, which draws international attention to reduce noise in areas around airports, to a level applicable to future development of aircraft and related equipment. This contributes to reduction of aircraft noise in local communities around the airport and airline operating costs by reducing landing fee.

Reference URL

Please refer to ‘FQUROH (Flight Demonstration of Quiet Technology to Reduce Noise from High-lift Configurations) project | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Reasons and benefits of using JAXA Supercomputer System

The JSS2 enabled low-noise devices to be designed based on Reynolds-averaged Navier-Stokes simulations and more advanced computational simulations, such as large eddy simulations, using the Kawasaki Heavy Industries (KHI)-developed unsteady computational fluid dynamics software, “Cflow.” Computational simulations using the JSS2 made it possible to design low-noise devices by understanding detailed physical phenomena, which were difficult only with wind tunnel tests.

Achievements of the Year

In order to design noise reduction devices for passenger aircraft in the FQUROH project, CFD simulations of the “OTOMO2” high-lift model were carried out using the KHI in-house unsteady CFD software called “Cflow.” The focus here is on slat side edge noise; the computational result for the baseline configuration helped us come up with noise reduction concepts as well as understand noise generation mechanisms. The effect of noise reduction devices was also evaluated by unsteady CFD analyses.

Annual Reoprt Figures for 2019

Fig.1: Unsteady CFD analysis around slat side edge of OTOMO2 high-lift model

 

Publications

– Non peer-reviewed papers

1) Ueno, Y., Isotani, K., Hayama, K., Takaishi, T., Ito, Y., Yokokawa, Y., Murayama, M., and Yamamoto, K., “Validation of Noise Reduction Design for Landing Gear in the FQUROH Flight Demonstration Project,” AIAA Paper 2019-2506, 25th AIAA/CEAS Aeroacoustics Conference, Delft, the Netherlands, May 2019, DOI: 10.2514/6.2019-2506.

– Invited Presentations

1) Yamamoto, K., “A Flight Demonstration Project for Airframe Noise Reduction Technologies, FQUROH,” Asia Pacific International Symposium on Aerospace Technology (APISAT) 2019, Gold Coast, Australia, December 2019.

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 4096
  • Elapsed Time per Case: 120 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.50

 

Details

Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
SORA-MA 4,398,168.75 0.53
SORA-PP 0.00 0.00
SORA-LM 0.00 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 70.36 0.06
/data 13,093.87 0.22
/ltmp 7,322.00 0.62

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 109.78 2.76

*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.

JAXA Supercomputer System Annual Report April 2019-March 2020