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Construction of LES Model for High Mach-number-turbulent-multi-phase-flow model based on DNS

JAXA Supercomputer System Annual Report April 2017-March 2018

Report Number: R17EACA11

Subject Category: JSS2 Inter-University Research

PDF available here

  • Responsible Representative: Kota Fukuda, Tokai University
  • Contact Information: Kota Fukuda fukuda@tokai-u.jp
  • Members: Kota Fukuda

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 characteristics of flow around a particle at a Reynolds number between 500 and 1000 and a Mach number between 0.8 and 2.0, such as drag coefficient, flow pattern, and Strouhal number were examined. Furthermore, effects of temperature and rotation were also investigated.

Annual Reoprt Figures for 2017

Fig.1: Vortex structure identified by the isosurface of second invariant value of the velocity gradient tensor.

 

Annual Reoprt Figures for 2017

Fig.2: Relationship between Reynolds number and drag coefficient.

 

Publications

■ Peer-reviewed papers

Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K, “Direct Numerical Simulation of Flow around a Heated/Cooled isolated Sphere up to a Reynolds Number of 300 under Subsonic to Supersonic Conditions,” International Journal of Heat and Mass Transfer, Vol. 120, pp. 284-299, 2018.

■ Presentations

1) Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K, “Direct numerical simulation of flow past a sphere at a Reynolds number between 500 and 1000 in compressible flows,” 56th AIAA Aerospace Sciences Meeting, Gayload Parms, Florida. January 2018.

2)Kuribayashi, T., Hamagata, Y., Mizuno, Y., Takahashi, S., Nonomura, T., Nagata, T., and Fukuda, K. “Investigation of Heat Transfer for a Flow around a Sphere in Cartesian Mesh by using Immersed Boundary Method,” MNTC International Symposium 2017, P123, Tokai University, Kanagawa, Japan, August, 2017.

Usage of JSS2

Computational Information

  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: OpenMP
  • Number of Processes: 169 – 289
  • Elapsed Time per Case: 200.00 hours

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.33

 

Details

Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
SORA-MA 2,671,845.29 0.35
SORA-PP 0.00 0.00
SORA-LM 0.00 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 039.34 0.03
/data 19,683.85 0.36
/ltmp 2,075.20 0.16

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 9.97 0.43

*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 2017-March 2018