Numerical analyses for CFD workshops
JAXA Supercomputer System Annual Report February 2022-January 2023
Report Number: R22EDA201G27
Subject Category: Aeronautical Technology
- 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)

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.

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

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.
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 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 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 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