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Cooperative Research on High Lift Devices in the FQUROH Project

JAXA Supercomputer System Annual Report April 2016-March 2017

Report Number: R16E0029

  • Responsible Representative: Kazuomi Yamamoto(FQUROH Project Team (Flight Demonstration of Quiet Technology to Reduce Noise from High-Lift Configurations Project Team), Aeronautical Technology Directorate)
  • Contact Information: Yasushi Ito(ito.yasushi@jaxa.jp)
  • Members: Kazuomi Yamamoto, Yasushi Ito, Mitsuhiro Murayama, Ryotaro Sakai, Kazuhide Isotani, Akio Ochi, Yousuke Ueno
  • Subject Category: Aviation(Aircraft,Body sound)

Abstract

This collaborative research is being carried out as part of the FQUROH project aimed at raising the technical maturity level of the noise reduction technology for high-lift devices, 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.

Goal

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

Objective

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

References and Links

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

Use of the Supercomputer

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.

Necessity of the Supercomputer

Computational simulations using the JSS2 made it possible to design low-noise devices by understanding detailed physical phenomena, which was difficult only with wind tunnel tests.

Achievements of the Year

For the FQUROH preliminary demonstration flight test using the JAXA's experimental aircraft, 'Hisho,' Kawasaki Heavy Industries (KHI) applied a flap noise reduction device called 'Small Barrier,' designed by KHI. The size and location of the device were determined based on CFD analysis using KHI's in-house unsteady CFD flow solver called 'Cflow.' It was found that the device weakened the strength of flap tip vortices, and that the effect of noise reduction was promising.

Annual Reoprt Figures for 2016

Fig.1:Unsteady CFD analysis around outboard flap tip of Hisho

 

Publications

Non peer-reviewed articles

1) Yamamoto, K., Hayama, K., Kumada, T. and Hayashi, K., 'FQUROH: A Flight Demonstration Project for Airframe Noise Reduction Technology - Concept and Current Status,' 22nd AIAA/CEAS Aeroacoustics Conference, Lyon, France, No. AIAA-2016-2709, 2016, DOI: 10.2514/6.2016-2709.

Computational Information

  • Parallelization Methods: Process Parallelization
  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: n/a
  • Number of Processes: 2048
  • Number of Threads per Process: 1
  • Number of Nodes Used: 64
  • Elapsed Time per Case (Hours): 70
  • Number of Cases: 6

Resources Used

 

Total Amount of Virtual Cost(Yen): 1,814,983

 

Breakdown List by Resources

Computational Resources
System Name Amount of Core Time(core x hours) Virtual Cost(Yen)
SORA-MA 912,773.00 1,487,282
SORA-PP 0.00 0
SORA-LM 0.00 0
SORA-TPP 0.00 0

 

SORA-FS File System Resources
File System Name Storage assigned(GiB) Virtual Cost(Yen)
/home 66.37 469
/data 6,056.32 42,847
/ltmp 7,684.62 54,366

 

J-SPACE Archiving System Resources
Archiving System Name Storage used(TiB) Virtual Cost(Yen)
J-SPACE 99.34 230,017

Note: Virtual Cost=amount of cost, using the unit price list of JAXA Facility Utilization program(2016)

JAXA Supercomputer System Annual Report April 2016-March 2017


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