Numerical analyses for CFD workshops
JAXA Supercomputer System Annual Report February 2023-January 2024
Report Number: R23EDA201G27
Subject Category: Aeronautical Technology
- Responsible Representative: Kazuyuki Nakakita, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub
- Contact Information: Andrea Sansica(sansica.andrea@jaxa.jp)
- Members: Kenji Hayashi, David Lusher, Tomoaki Matsuzaki, Yoimi Kojima, Andrea Sansica, Markus Zauner
Abstract
JAXA’s Ninth Aerodynamic Prediction Challenge(https://cfdws.chofu.jaxa.jp/apc/apc9/) was held to investigate the aerodynamic characteristics of the NASA Common Research Model High-Lift (CRM-HL) configuration taking wind-tunnel walls into consideration. We calculated the CRM-HL characteristics with RANS/URANS and Hybrid RANS/LES and confirmed the data superiority of Hybrid RANS/LES.
Reference URL
N/A
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, hybrid Reynolds Averaged Navier Stokes (RANS) and Large-Eddy Simulation (LES) methods were investigated. Using the hybrid method Delayed Detached Eddy Simulation (DDES) CLmax was successfully predicted (Figure 1). DDES prevents unphysical separation obtained with RANS and agrees with experimental oil flow (Figure 2).

Fig.1: NASA CRM-HL RANS (left), experimental oil flow (middle) and DDES (right) results at 17.98 degrees attack of angle. Surface skin friction coefficient (Cf) distribution, where separation is indicated by the white dashed line.

Fig.2: Skin-friction contours shown for RANS (left-hand-side plot) and DDES (right-hand-side plot) at 17.98 degrees angle of attack. White dashed curves indicate flow separation. The center plots show experimental oil-flow visualisations.
Publications
– Non peer-reviewed papers
[1] “Ninth Aerodynamic Prediction Challenge (APC-9), Free-air and in-tunnel Hybrid RANS/LES calculations for CL,max prediction on the CRM high-lift configuration”, Zauner Markus, Matsuzaki Tomoaki, Kojima Yoimi, Uchida Kosuke, Sansica Andrea, Hashimoto Atsushi, in JAXA Special Publication for APC9 2023
[2] “Sensitivity Study of Delayed Detached-Eddy Simulations of NASA’s CRM-HL In-Tunnel and Free-Air”, Zauner M., Matsuzaki T., Sansica A., Kojima Y., Zehner P., Lusher D. J. and Hashimoto A., AIAA, SciTech 2024
– Oral Presentations
[1] ANSS conference (APC-9 workshop): “Free-air and in-tunnel Hybrid RANS/LES calculations for CL,max prediction on the CRM high-lift configuration”, Zauner M., Matsuzaki T., Kojima Y., Uchida K., Sansica A., Hashimoto A.
[2] AIAA SciTech conference: “Sensitivity Study of Delayed Detached-Eddy Simulations of NASA’s CRM-HL In-Tunnel and Free-Air”, Zauner M., Matsuzaki T., Sansica A., Kojima Y., Zehner P., Lusher D. J. and Hashimoto A.
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(%): 1.72
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 | 45972539.85 | 2.08 |
TOKI-ST | 128370.94 | 0.14 |
TOKI-GP | 11223.54 | 0.15 |
TOKI-XM | 72.21 | 0.04 |
TOKI-LM | 23813.98 | 1.81 |
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 | 1302.66 | 1.08 |
/data and /data2 | 150424.81 | 0.93 |
/ssd | 32500.60 | 3.07 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 30.33 | 0.11 |
*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) | 910.54 | 0.41 |
*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2023-January 2024