Study on Simulation Technology to Realize Front Loading of Combustor Design Process
JAXA Supercomputer System Annual Report April 2017-March 2018
Report Number: R17EA1903
Subject Category: Aeronautical Technology
- Responsible Representative: Yasuhiro Mizobuchi, Aeronautical Technology Directrate, Numerical Simulation Research Unit
- Contact Information: Yasuhiro Mizobuchi mizo@chofu.jaxa.jp
- Members: Manabu Hisida, Taisuke Nambu, Hiroki Yao, Shogo Yasuda, Yuichi Matsuo, Yasuhiro Mizobuchi, Hiroyuki Abe, Takeshi Okabe, Shingo Matsuyama
Abstract
Enhancement of front loading of engine design process by simulation technology.
Reference URL
N/A
Reasons for using JSS2
World-level research in this field requires massively parallel huge computational resource and only so-called supercomputer system can provide it.
Achievements of the Year
Separation of a turbulent boundary layer is one of the key phenomena in aeronautical applications such as combustors and airfoils. In the present study, we have performed direct numerical simulation of a pressure-induced separation bubble. The Reynolds number based on inlet momentum thickness and freestream velocity is Re_θ = 1500, which is the largest Reynolds number ever performed in this configuration. Number of grid points used are 13 billion to resolve the essential motions. Figure 1 shows visualization of vortical structures for Re_θ = 1500, which highlights the clustering of fine vortical structures in the separated shear layer (see the enlarged view of Fig. 1).
Robustness of an analysis solver for 2 phase flow was improved, and 4 cases of primary atomization detailed analysis were finished.

Fig.1: Vortical structures observed in the DNS for Re_θ=1500 (white: positive values of the second invariant of fluctuating velocity tensor Q). The upper panel denotes the perspective view, whereas the lower panel refers to the side view.
Publications
■ Peer-reviewed papers
1)H. Abe, “Reynolds-number dependence of wall-pressure fluctuations in a pressure-induced turbulent separation bubble,” J. Fluid Mech., Vol. 833, pp. 563-598 (2017).
2)H. Abe and R.A. Antonia, “Relationship between the heat transfer law and the scalar dissipation function in a turbulent channel flow,” J. Fluid Mech., Vol. 830, pp. 300-325 (2017).
3)Y.Mizobuchi and T. Takeno, “A numerical study on the detailed structure of hydrogen/air Bunsen flame,” J. Comb. Society of Japan, vol.59, No.190, pp.303-311(2017).
■ Presentations
1)H. Abe, Y. Mizobuchi and Y. Matsuo, “DNS study on Reynolds-number dependence of a turbulent boundary layer with separation and reattachment,” Proc. of the 16th European Turbulence Conference (Stockholm, Sweden, August 21-24, 2017).
2)H. Abe, “DNS and modeling of a turbulent boundary layer with separation and reattachment,” The 47th LES reserch meeting(Institute of Industrial Science, the University of Tokyo, Sept. 12, 2017).
3)H. Abe, “Direct numerical simulation of a turbulent boundary layer with separation and reattachment over a wide range of Reynolds numbers,” CTR Tea Seminar, Center for Turbulence Research, Stanford University, USA, November 10, 2017.
4)Y. Mizobuchi, T. Takeno, “Investigation on Tip Opening phenomenon of hydrogen/air Bunsen flame by use of detailed numerical simulation,” 55th Japanese Combustion Symposium, Toyama International Conference Center, Nov. 13, 2017.
5)H. Abe, “Direct numerical simulation of a turbulent boundary layer with separation and reattachment at Re_θ=1500,” Bulletin of the American Physical Society 70th Annual Meeting of the APS Division of Fluid Dynamics (Denver, CO, November 19-21, 2017), Vol. 62, No. 14, p. 208.
6)T. Nambu, Y. Mizobuchi, “Numerical Simulation of Liquid Fuel Atomization in a Cross-flow involved with Wall Impingement,” 26th ILASS-Japan Symposium, AIST Tokyo Waterfront, Dec. 20, 2017.
7)H. Abe, “DNS of a turbulent boundary layer with separation and reattachment: Study of effects of Reynolds number and pressure gradient,” Prof. of the 33th TSFD symposium(Institute of Industrial Science, the University of Tokyo, March 5, 2018).
Usage of JSS2
Computational Information
- Process Parallelization Methods: Both of MPI and XPFortran
- Thread Parallelization Methods: OpenMP
- Number of Processes: 8 – 384
- Elapsed Time per Case: 2,000.00 hours
Resources Used
Fraction of Usage in Total Resources*1(%): 7.60
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 | 63,631,143.11 | 8.47 |
SORA-PP | 42,086.56 | 0.53 |
SORA-LM | 386.11 | 0.00 |
SORA-TPP | 0.00 | 0.00 |
File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
---|---|---|
/home | 764.37 | 0.53 |
/data | 32,676.13 | 0.60 |
/ltmp | 5,214.42 | 0.39 |
Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
---|---|---|
J-SPACE | 39.10 | 1.68 |
*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