JAXA Special Publication JAXA-SP-19-003E

Research on Airframe Noise Reduction Design in the FQUROH Project
Report Number: R18EA2801
Subject Category: Aeronautical Technology
URL: https://www.jss.jaxa.jp/en/ar/e2018/9079/
Responsible Representative
Kazuomi Yamamoto, FQUROH Project Team, Aeronautical Technology Directorate
Contact Information
Kazuomi Yamamoto (yamamoto.kazuomi@jaxa.jp)
Members
Kazuomi Yamamoto, Yasushi Ito, Takehisa Takaishi, Mitsuhiro Murayama, Ryotaro Sakai, Tohru Hirai, KentaroTanaka, Kazuhisa Amemiya, Gen Nakano, Takashi Ishida
Abstract
This research is being carried out as part of the FQUROH project aimed at raising the technical maturity levelof the noise reduction technology for high-lift devices and landing gear, which draws international attention toreduce 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 costsby reducing landing fee. One of the objectives of the FQUROH project is to verify the feasibility of practical noise
reduction concepts and design methods based on advanced, large-scale computational simulations based onLarge/Detached Eddy Simulations (LES/DES).
Ref. URL: http://www.aero.jaxa.jp/eng/research/ecat/fquroh/
Reasons for using JSS2
The JSS2 was used to understand detailed physics of noise generation, and to optimize noise reduction designs.
The FQUROH project aims to accelerate technology maturity of airframe noise reduction methods using advanced
large-scale, high-fidelity computational simulations on the JSS2’s high performance computing platform and todemonstrate the high-fidelity design technologies through flight tests. 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
Leading-edge slats are recognized as major airframe noise sources. A high-order, high-resolution numerical
scheme was introduced to resolve vortices that plays an important role for the noise generation, and was thentested with flow simulations around a wing with an extended slat (Fig. 1). The effect of a subgrid length scale in
Delayed Detached Eddy Simulation (DDES) was also studied to improve the turbulence model. Aeroacoustic－102－

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JAXA Supercomputer System Annual Report (April 2018-March 2019)

simulations with different slat positions were conducted to demonstrate a noise reduction concept for the slat.
Under the condition of quasi-3D simulations, the possibility of reducing the slat noise without losing aerodynamic
performance has been shown (Fig. 2). Based on the findings, noise reduction design of a real slat was also
investigated by using quasi-3D flow simulations around representative parts of an actual aircraft wing.

Fig. 1: A high-order, high-resolution numerical scheme applied to a flow simulation
around a wing with an extended slat (z-vorticity distribution)

Fig. 2: Overall sound pressure level (OASPL) directivities with different slat positions

Publications- Non peer-reviewed papers
1) Sakai, R., Ishida, T., Murayama, M., Ito, Y., and Yamamoto, K., “Slat Noise Simulation on Unstructured Grid
with Reduced Dissipation Approach,” 25th AIAA/CEAS Aeroacoustics Conference, Delft, The Netherlands, May2019, to be presented.
- Oral Presentations1) Murayama, M., Yamamoto, K., Ikeda, T., Sakai, R., Amemiya, K., Hirai, T., and Tanaka, K., “BANC-VCategory 7 Slat Cove Noise: 30P30N-Modified Slat Configuration—JAXA’s result using structured grid UPACS,”
5th AIAA Workshop on Benchmark Problems for Airframe Noise Computations (BANC-V), Dallas, TX, June
2018.
2) Sakai, R., Murayama, M., Ito, Y., and Yamamoto, K., “BANC-V Category 7 Slat Cove Noise: 30P30NModified Slat Configuration—JAXA’s Result,” 5th AIAA Workshop on Benchmark Problems for Airframe Noise
Computations (BANC-V), Dallas, TX, June 2018.
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JAXA Special Publication JAXA-SP-19-003E3) Sakai, R., Murayama, M., Ito, Y., and Yamamoto, K., “BANC-V Category 6: DLR Slat Noise Configuration—
JAXA’s Result,” 5th AIAA Workshop on Benchmark Problems for Airframe Noise Computations (BANC-V),
Dallas, TX, June 2018.
Usage of JSS2
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Computational Information
Process Parallelization Methods

MPI

Thread Parallelization Methods

Automatic Parallelization

Number of Processes

660

Elapsed Time per Case644 Hour (s)Resources Used
Fraction of Usage in Total Resources*1 (%): 3.59
Details
Computational Resources
System Name

Amount of Core Time(core x hours)

Fraction of Usage*2 (%)

SORA-MA

33,168,064.93

4.06

SORA-PP

41,147.13

0.33

SORA-LM

1,068.72

0.50

SORA-TPP

0.00

0.00

File System Resources
File System Name

Storage Assigned (GiB)

Fraction of Usage*2 (%)

/home

82.16

0.09/data

8,446.07

0.15/ltmp

2,520.07

0.22

Archiver Resources
Archiver Name

Storage Used (TiB)

J-SPACE

Fraction of Usage*2 (%)
268.299.39*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.
－104－This document is provided by JAXA.