Construction of LES model for high Mach number multiphase flow based on DNS analysis
JAXA Supercomputer System Annual Report April 2018-March 2019
Report Number: R18EACA11
Subject Category: JSS2 Inter-University Research
- Responsible Representative: Kota Fukuda, Ascossiate Professor, Tokai University
- Contact Information: Kota Fukuda, Ascossiate Professor, Tokai University(fukuda@tokai-u.jp)
- Members: Kota Fukuda, Taku Nonomura
Abstract
In order to construct LES model for high Mach number multi-phase turbulent flow, direct numerical simulation (DNS) of high Mach number and low Reynolds number flow around a particle will be carried out and construction of its data base and examination of the flow phenomena will be conducted.
Reference URL
N/A
Reasons for using JSS2
In this project, direct numerical simulation (DNS) of high Mach number and low Reynolds number flow around a particle and construction of the data base will be carried out using a boundary-fitted coordinate system. Large scale numerical simulation is essential to construct the data base.
Achievements of the Year
The compressibility effect on vortex shedding and lift forces by rotation were investigated by performing DNS of the flow over a rotating sphere. In addition, the flow regime and other basic flow properties of a stationaly sphere in ransonic flows up to a Reynolds number of 1,000 were examined by DNS.
Fig.1: Mach number and non-dimensional rotation rate effects on the wake sructure of rotating sphere
Fig.2: Time-averaged lift coefficient of the rotating sphere
Fig.3: The map of flow regime of stationaly sphere at the compressible low-Reynolds number flow
Publications
– Peer-reviewed papers
Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., “Direct Numerical Simulation of Flow past a Transversely Rotating Sphere up to a Reynolds Number of 300 in Compressible Flow,” Journal of Fluid Mechanics, Vol. 857, December, 2018, pp. 878-906.
– Oral Presentations
Nagata, T., Nonomura, T., Yoshida, M., Takahashi, S., and Fukuda, K., “Analysis of aerodynamic coefficient and wake of a small particle in compressible flow at particle Reynolds number 50-1000 using DNS database,” 32nd Symposium on Computational Fluid Dynamics,Tokyo, December, 2018.
Usage of JSS2
Computational Information
- Process Parallelization Methods: MPI
- Thread Parallelization Methods: OpenMP
- Number of Processes: 16 – 289
- Elapsed Time per Case: 100 Hour(s)
Resources Used
Fraction of Usage in Total Resources*1(%): 0.34
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 | 3,044,531.35 | 0.37 |
| SORA-PP | 0.00 | 0.00 |
| SORA-LM | 0.00 | 0.00 |
| SORA-TPP | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 37.59 | 0.04 |
| /data | 19,647.94 | 0.35 |
| /ltmp | 2,068.02 | 0.18 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 16.35 | 0.57 |
*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 2018-March 2019