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Efficiency improvement of aerodynamic model building and comparison.

JAXA Supercomputer System Annual Report February 2022-January 2023

Report Number: R22EDA201N05

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Yasuhiro Mizobuchi, Aircraft Lifecycle Innovation Hub, Aviation Technology Directorate
  • Contact Information: Makoto Ueno, Aircraft Lifecycle Innovation Hub, Aviation Technology Directorate(ueno.makoto@jaxa.jp)
  • Members: Makoto Ueno, Kento Yamada, Chigusa Hamada, Takahiro Yamamoto

Abstract

The air flow rate in the engine nacelle is adjusted using annular plugs placed in the nacelle to evaluate the effect of the air flow rate in the engine nacelle on the aerodynamic characteristics of the aircraft.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

It is necessary to perform CFD computation including flow around a whole aircraft because it requires highly parallelized computation. Additionally, the JSS3 was chosen because the FaSTAR CFD solver is optimized, as well.

Achievements of the Year

Spillage drag varies with capture area ratio (CAR), but it is difficult to investigate it experimentally since the shape inside a flow-through nacelle of a testing model needs to be changed. To clarify the change in the spillage drag for the flow-through nacelle of a business jet geometry testing model, numerical analyses using computational grids of annular plugs inside the flow-through nacelle were performed. As a result, the differences in both the CAR and the axial component of the aerodynamic coefficient were observed by adding the plug. It was shown that a significant change in CAR is not apparent unless the plug is squeezed significantly, but too large a squeeze can cause flow separation inside the nacelle and adversely affect the aerodynamic coefficient.

Annual Reoprt Figures for 2022

Fig.1: Mach number distribution around the wing, inside the nacelle, and around the stabilizer of a business jet airplane. (With 30% choke plug added.)

 

Annual Reoprt Figures for 2022

Fig.2: Nacelle axial force coefficient difference to CAR.

 

Publications

– Non peer-reviewed papers

Yamada, K., Yamamoto, T., Hamada, C., Ueno, Y., and Ueno, M., Numerical Study on Variation in Spillage Drag by Adding Annular Plug into Flow-Through Nacelle, 60th Aircraft Symposium, 2022.

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 25
  • Elapsed Time per Case: 12.5 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 2.35

 

Details

Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.

Computational Resources
System Name CPU Resources Used
(Core x Hours)
Fraction of Usage*2(%)
TOKI-SORA 63854699.13 2.79
TOKI-ST 47783.58 0.05
TOKI-GP 0.00 0.00
TOKI-XM 0.00 0.00
TOKI-LM 520.85 0.03
TOKI-TST 0.00 0.00
TOKI-TGP 0.00 0.00
TOKI-TLM 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 665.54 0.60
/data and /data2 124039.76 0.96
/ssd 380.03 0.05

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 41.26 0.18

*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 Resources
ISV Software Licenses Used
(Hours)
Fraction of Usage*2(%)
ISV Software Licenses
(Total)
298.63 0.21

*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.

JAXA Supercomputer System Annual Report February 2022-January 2023