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Numerical analyses for CFD workshops

JAXA Supercomputer System Annual Report February 2022-January 2023

Report Number: R22EDA201G27

Subject Category: Aeronautical Technology

PDF available here

  • Responsible Representative: Atsushi Hashimoto, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub
  • Contact Information: Andrea Sansica(sansica.andrea@jaxa.jp)
  • Members: Kenji Hayashi, Tomoaki Matsuzaki, Yoimi Kojima, Andrea Sansica, Paul Zehner, Markus Zauner

Abstract

APC-8 was held to investigate the aerodynamic characteristics of the NASA Common Research Model High-Lift (CRM-HL) configuration. We calculated the CRM-HL characteristics with RANS/URANS and confirmed the data superiority of warm start.

Reference URL

Please refer to ‘数値解析技術の研究 | 基盤技術の研究(fundamental research) | JAXA航空技術部門‘.

Reasons and benefits of using JAXA Supercomputer System

For CFD workshops, it is necessary to use JAXA’s supercomputers to perform a large number of calculations of three-dimensional complex shapes to achieve high accuracy.

Achievements of the Year

For the NASA Common Research Model High-Lift geometry (Figure 1), sensitivity to the turbulence model (Figure 2), grid resolution and cold vs hot restart were investigated to select the RANS simulation best-practices. CLmax was successfully predicted (Figure 3), but the wing separation detection needs to be improved (i.e. wind tunnel wall effects, high fidelity simulation)

Annual Reoprt Figures for 2022

Fig.1: NASA CRM-HL RANS analysis (7 degrees attack of angle). Surface skin friction coefficient (Cf) distribution, where separation is indicated by the white dashed line.

 

Annual Reoprt Figures for 2022

Fig.2: Sensitivity analysis of RANS turbulence model (angle of attack 17 degrees). Surface skin friction coefficient (Cf) distribution.

 

Annual Reoprt Figures for 2022

Fig.3: Lift coefficient as a function of angle of attack. Experimental (black) and RANS results (turbulence model sensitivity: blue = SA-noft2, red = SA-noft2-R-QCR2000). Triangles are 5% error relative to experimental results.

 

Publications

– Non peer-reviewed papers

[1] M. Zauner, Y. Kojima, A. Sansica, K. Hayashi, and A. Hashimoto, “Eighth Aerodynamic Prediction Challenge (APC-8): Scale-resolving simulations of the CRM high-lift configuration at high angles of attack.”, in JAXA-SP-22-003 2022, http://id.nii.ac.jp/1696/00048995/

[2] M. Zauner, A. Sansica, Y. Kojima, D.J. Lusher and A. Hashimoto, “RANS Sensitivity Study and Global Stability Analysis of the NASA Common Research Model High-Lift Configuration”, AIAA SciTech 2023, https://doi.org/10.2514/6.2023-1568

– Oral Presentations

[1] M. Zauner, Y. Kojima, A. Sansica, K. Hayashi, and A. Hashimoto,”Scale-resolving simulations of the CRM high-lift configuration at high angles of attack.”, 54th Fluid Dynamics Conference / the 40th Aerospace Numerical Simulation Symposium, Morioka, Japan, June 2022

[2] M. Zauner, A. Sansica, Y. Kojima, D.J. Lusher and A. Hashimoto,”RANS Sensitivity Study and Global Stability Analysis of the NASA Common Research Model High-Lift Configuration”, AIAA SciTech 2023, https://doi.org/10.2514/6.2023-1568

Usage of JSS

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: N/A
  • Number of Processes: 480 – 2304
  • Elapsed Time per Case: 200 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.64

 

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 16859099.44 0.74
TOKI-ST 59701.63 0.06
TOKI-GP 11226.07 0.48
TOKI-XM 306.71 0.19
TOKI-LM 10314.03 0.69
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 414.78 0.38
/data and /data2 44393.33 0.34
/ssd 1457.56 0.20

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 36.16 0.16

*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)
1738.59 1.21

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

JAXA Supercomputer System Annual Report February 2022-January 2023