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

JAXA Supercomputer System Annual Report April 2016-March 2017

Report Number: R16E0045

Responsible Representative: Kota Fukuda(Tokai University)
Contact Information: Kota Fukuda(fukuda@tokai-u.jp)
Members: Kota Fukuda
Subject Category: Space(Rocket)

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.

Goal

Direct Numerical Simulation (DNS) of flow around a particle at high Mach number and low Reynolds number will be carried out in order to examine the characteristics of high Mach number multi-phase turbulent flow and construct Large-Eddy Simulation (LES) model.

Objective

Construction of data base on high Mach number and low Reynolds number flow around a particle and examination of the flow phenomena will be carried out in order to construct LES model for high Mach number multi-phase turbulent flow.

References and Links

N/A

Use of the Supercomputer

Large scale numerical simulation of high Mach number and low Reynolds number flow around a particle will be carried out by using the super computer in order to examine the phenomena.

Necessity of the Supercomputer

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 high Mach number and low Reynolds number flow around a particle, such as drag coefficient, flow pattern, and strouhal number were examined. Furthermore, effects of temperature and rotation were also investigated.

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

Fig.2:Pressure coefficient distributions and stream lines around a rotating sphere

Publications

Peer-reviewed articles

1) Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., ‘Investigation on subsonic to supersonic Flow around a Sphere at Low Reynolds Number of between 50 and 300 by Direct Numerical Simulation,’ Physics of Fluids, API Publishing, Vol. 28, No. 5, 056101, 2016.

Presentations

1) Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., ‘Direct Numerical Simulation of Flow around a Rotating Sphere at High Mach and Low Reynolds Numbers Condition forsupersonic Gas-Particle Flow Analysis,’ International Conference on Multiphase Flow 2016, Firenze, Italy, May, 2016.

2) Nagata, T., Nonomura, T., Takahashi, S., Mizuno, Y., and Fukuda, K., ‘Investigation on Wake Vortex Structure of a Heated/Cooled Rotating Particle in Compressible Flows by Direct Numerical Simulation,’ 7th International Conference on Vortex Flows and Vortex Models, Rostock, Germany, September, 2016.

Computational Information

Parallelization Methods: Hybrid Parallelization
Process Parallelization Methods: MPI
Thread Parallelization Methods: OpenMP
Number of Processes: 45, 92
Number of Threads per Process: 2, 2
Number of Nodes Used: 3, 6
Elapsed Time per Case (Hours): 300, 410
Number of Cases: 80, 20

Resources Used

Total Amount of Virtual Cost(Yen): 4,899,544

Breakdown List by Resources

Computational Resources
System Name	Amount of Core Time(core x hours)	Virtual Cost(Yen)
SORA-MA	2,783,098.88	4,497,517
SORA-PP	23,845.49	203,592
SORA-LM	0.00	0
SORA-TPP	0.00	0

SORA-FS File System Resources
File System Name	Storage assigned(GiB)	Virtual Cost(Yen)
/home	9.54	89
/data	19,073.50	179,920
/ltmp	1,953.13	18,423

J-SPACE Archiving System Resources
Archiving System Name	Storage used(TiB)	Virtual Cost(Yen)
J-SPACE	0.00	0

Note: Virtual Cost=amount of cost, using the unit price list of JAXA Facility Utilization program(2016)