Innovative Green Aircraft Technology : High Efficiency and Low Noise Aircraft I
JAXA Supercomputer System Annual Report February 2021-January 2022
Report Number: R21ETET15
Subject Category: Skills Acquisition System
- Responsible Representative: Tatsuya Ishii, Aeronautical Technology Directorate, Aviation Enviromental Sustanability Innovation Hub
- Contact Information: Dongyoun Kwak, Aviation Enviromental Sustanability Innovation Hub(kwak.dongyoun@jaxa.jp)
- Members: Nozomu Hayabe, Yasushi Ito, Ryosuke Igarashi, Shinya Koganezawa, Dongyoun Kwak, Yohsuke Matsuda, Mitsuhiro Murayama, Tatsuya Nishimoto, Haruki Arai, Ryotaro Sakai, Kenya Takahashi
Abstract
The purpose of the iGreen research is to develop and mature a bunch of advanced and innovative technologies on aerodynamics, aeroacoustics, and structures to enable airframe design with higher environmental performances. In addition to verifying practical application of these technologies, we will also work on the development of elemental and system technologies.
Reference URL
Please refer to https://www.aero.jaxa.jp/eng/research/ecat/igreen/ .
Reasons and benefits of using JAXA Supercomputer System
CFD analysis are used for the understanding of aerodynamic characteristics and evaluation of the performance in the aircraft design phase. Huge calculation resources and costs were required for the high fidelity and quick response CFD analysis for the optimum aerodynamic design process on complex aircraft geometry. JSS3 can achieve those requirements, the cost and time are drastically saved on the CFD analysis.
Achievements of the Year
Collaborative research activities with universities have been conducted for aerodynamic technologies to improve the environmental performances of subsonic aircraft such as low fuel consumption and low noise. In this year, aerodynamic design of anti-contamination devices on laminar wing, the fuselage design on a double bubble aircraft configuration (JAXA TRA2035A) and blended wing body configuration(BWB). On the fuselage design on TRA2035A, improvement of the Lift-to-drag ratio on the transonic cruise conditions were obtained by modifying the nose and tail geometries comparing with baseline configuration. The camber effects on the wide fuselage and interactions with main wing and tails causes lift increment without obvious increment drag. At the same time, it was understood that pitching moment is very sensitive on rear fuselage geometry including the propulsion system.

Fig.1: Comparison of the upper surface pressure distributions on baseline configuration and fuselage designed configuration of TRA2035A
Publications
– Oral Presentations
Kenya Takahashi, Ryutaro Furuya, Toshiyuki Nomura, Dongyoun Kwak, Katsuyoshi Fukiba : Parametric Studies of the Fuselage Geometry of a Double-Bubble Aircraft Configuration, 2021 Asia-Pacific International Symposium on Aerospace Technology, Jeju, Korea, 15-17 Nov, 2021.
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: N/A
- Number of Processes: 64 – 1024
- Elapsed Time per Case: 10 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.78
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
System Name | CPU Resources Used(Core x Hours) | Fraction of Usage*2(%) |
---|---|---|
TOKI-SORA | 17791676.38 | 0.87 |
TOKI-ST | 130345.16 | 0.16 |
TOKI-GP | 0.00 | 0.00 |
TOKI-XM | 0.00 | 0.00 |
TOKI-LM | 0.03 | 0.00 |
TOKI-TST | 0.00 | 0.00 |
TOKI-TGP | 0.00 | 0.00 |
TOKI-TLM | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 1360.18 | 1.35 |
/data and /data2 | 95313.14 | 1.02 |
/ssd | 830.14 | 0.21 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 10.97 | 0.07 |
*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 Used(Hours) | Fraction of Usage*2(%) | |
---|---|---|
ISV Software Licenses(Total) | 3391.34 | 2.38 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2021-January 2022