Prediction of aerothermal environment around atmospheric entry vehicles with sophisticated numerical tools
JAXA Supercomputer System Annual Report April 2020-March 2021
Report Number: R20EDA201A32
Subject Category: Aeronautical Technology
- Responsible Representative: Shigeru Hamamoto, Aeronautical Technology Directorate, Aerodynamics Research Unit
- Contact Information: Takashi Ozawa(ozawa.takashi@jaxa.jp)
- Members: Takashi Ozawa, Hiroki Takayanagi, Ryota Samo, Chihiro Tsukiyama
Abstract
In this study, we try to enhance physical models for high temperature gas and numerical simulation method to accurately predict heating and aerodynamic characteristics at hypersonic atmospheric entry. We aim to develop high fidelity simulation tool by demonstrating improvement of prediction accuracy by comparing experimental data and simulation results with the newly proposed model and method. We also aim to develop a damage prediction method by analyzing thermal stress distribution in heatshields under atmospheric entry heating conditions.
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
In order to evaluate uncertainties in nonequilibrium thermochemical models and freestream conditions, supercomputer has been used to perform a large number of CFD runs by changing physical models and flow conditions.
Achievements of the Year
The parachute of sample return capsules was the target of this research, and the purpose was to extend a numerical analysis code for supersonic parachute to low speed parachute. In this year, as shown in Fig. 1, the parachute size and the grid generation method were changed, and the analysis environment was constructed.
Additionaly, thermal stress analyses (see Fig. 2) were performed on ablators, which are thermal protection materials of sample return capsules, during arc heating wind tunnel tests. The dependence of interlaminar strength on delamination was evaluated.
Fig.2(video): Thermal stress analysis of an ablator during a arc-heated wind tunnel test
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: OpenMP
- Number of Processes: 3
- Elapsed Time per Case: 50000 Second(s)
Resources Used(JSS2)
Fraction of Usage in Total Resources*1(%): 0.01
Details
Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
SORA-MA | 0.00 | 0.00 |
SORA-PP | 15,002.56 | 0.12 |
SORA-LM | 0.00 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 297.23 | 0.27 |
/data | 5,887.35 | 0.11 |
/ltmp | 5,045.58 | 0.43 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.00 | 0.00 |
*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.
Resources Used(JSS3)
Fraction of Usage in Total Resources*1(%): 0.01
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
System Name | Amount of Core Time(core x hours) | Fraction of Usage*2(%) |
---|---|---|
TOKI-SORA | 45.31 | 0.00 |
TOKI-RURI | 1,624.30 | 0.01 |
TOKI-TRURI | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 182.79 | 0.13 |
/data | 3,493.63 | 0.06 |
/ssd | 270.21 | 0.14 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 0.00 | 0.00 |
*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.
JAXA Supercomputer System Annual Report April 2020-March 2021