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Environment Conscious Aircraft Systems Research in Eco-wing Technology:Airframe-Engine Noise Reduction Technology

JAXA Supercomputer System Annual Report April 2018-March 2019

Report Number: R18EA0602

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Yoshikazu Makino, Unit Head, Aeronautical Technology Directorate, Aviation Systems Research Unit
  • Contact Information: Dongyoun Kwak(kwak.dongyoun@jaxa.jp)
  • Members: Takehisa Takaishi, Mitsuhiro Murayama, Yasushi Ito, Ryotaro Sakai, Tohru Hirai, Kentaro Tanaka, Kazuhisa Amemiya, Gen Nakano, Tomoaki Ikeda, Fumitake Kuroda, Keisuke Ohira, Dongyoun Kwak, Yosuke Matsumura, Seiichiro Morizawa, Ryutaro Furuya

Abstract

Innovative drag reduction technologies are investigated to reduce the fuel consumption for a conventional aircraft configuration. Aircraft noise prediction technologies and the conceptual design technologies are also developed for future aircraft which achieve low noise and high efficiency.

Reference URL

Please refer to ‘Eco-wing technology | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Reasons for using JSS2

The JSS2 is used to develop the airframe, engine, and interference noise prediction tools that have high or middle fidelities for applicable to MDO design with high fidelity CFD and FEM analysis. The airframe-engine installation and/or shielding effects are one of important key issues for the future aircraft. The accuracy of current low fidelity analysis for the airframe, engine, and interference noise prediction is not good enough for application to MDO design with high fidelity CFD and FEM analysis toward the future low-noise aircrafts. The JSS2 is required for development of high or middle fidelity noise prediction tools for competitiveness in technology.

Achievements of the Year

The accuracy of the airframe, engine, and interference noise prediction tools was evaluated by increasing the resolution of sound sources on the complex geomeries. In JAXA’s multi-block structured grid CFD solver, UPACS, the resolution for sound sources was improved by employing the 5th-order scheme using a low-dissipation upwind SLAU scheme and changing the subgrid length scale in Delayed-Detached Eddy Simulation (DDES) to better predict development of shear layer on the stretched grid, etc. The effects were evaluated by analysis on aircraft aeroacoustic noise problems with changing grid densities.

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelization
  • Number of Processes: 800
  • Elapsed Time per Case: 536 Hour(s)

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.52

 

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 4,376,157.16 0.54
SORA-PP 31,363.30 0.25
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 512.02 0.53
/data 19,892.15 0.35
/ltmp 8,821.23 0.76

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 162.93 5.70

*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 2018-March 2019