JAXA Supercomputer System Annual Report April 2016-March 2017

Report Number: R16E0086

• Responsible Representative: Eiji Shima(Research Unit III Research and Development Directorate)
• Contact Information: Hiroshi Kato(kato.hiroshi@jaxa.jp)
• Members: Hiroshi Kato
• Subject Category: Space(Spacecraft,Space engineering)

Abstract

In satellite thermal design, there are several design constraints to deal with the uncertainty of the satellite thermal environment. However, these constraints will be obstacles to improve the satellite thermal design process in the future. In this study, we aim to appropriately evaluate constraints on satellite thermal design by quantifying the uncertainty of satellite thermal environment.

Goal

Our purpose is to improving the satellite thermal design process by developing a key technology of ‘satellite thermal environment uncertainty quantification’.

Objective

Our goal is to realize ① reduction of the thermal balance test, and ② rationalization of the temperature margin by demonstrating the effect of the uncertainty quantification for the satellite thermal environment.

References and Links

N/A

Use of the Supercomputer

To realize the satellite thermal analyses of numerous samples.

Necessity of the Supercomputer

There is no environment to perform the satellite thermal analyses of numerous samples under realistic time.

Achievements of the Year

Thermal analysis for pseudo satellite of large samples was conducted. Figure 1 shows an overview of the pseudo satellite. Figure 2 is a histogram of the maximum temperature on the orbital of the inner panel extracted from the results of thermal analysis of 3.2 million samples. It was found that the JSS2 can implement the calculation of 3.2 million samples in realistic time.

Fig.1:Overview of the pseudo satellite.

Fig.2:Histogram of the maximum temperature on the orbital of the inner panel

Publications

N/A

Computational Information

• Parallelization Methods: Hybrid Parallelization
• Process Parallelization Methods: MPI
• Thread Parallelization Methods: OpenMP
• Number of Processes: 64
• Number of Threads per Process: 8
• Number of Nodes Used: 8
• Elapsed Time per Case (Hours): 0.0000006
• Number of Cases: 3200000

Resources Used

Total Amount of Virtual Cost(Yen): 26,247

Breakdown List by Resources

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

JAXA Supercomputer System Annual Report April 2016-March 2017