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Numerical Analyses of LPT flutter

JAXA Supercomputer System Annual Report April 2016-March 2017

Report Number: R16E0025

  • Responsible Representative: Toshio Nishizawa(Aeronautical Technology Directorate, aFJR project team)
  • Contact Information: Junichi Kazawa(kazawa@chofu.jaxa.jp)
  • Members: Junichi Kazawa, Toshio Nishizawa, Yasuo Horiguchi
  • Subject Category: Aviation(Aircraft engine)

Abstract

The purpose of aFJR project is to advance research on jet engine component technologies so that Japanese manufacturers can join more effectively in international joint-development projects on next-generation jet engines. Regarding LPT flutter, we aim to develop LPT design technology by improving prediction accuracy.

Goal

Please refer ‘aFJR (Advanced Fan Jet Research) project | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Objective

Please refer ‘aFJR (Advanced Fan Jet Research) project | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

References and Links

Please refer ‘aFJR (Advanced Fan Jet Research) project | ECAT – Environment-Conscious Aircraft Technology Program | Aeronautical Technology Directorate‘.

Use of the Supercomputer

Calculations are conducted under the same conditions as tests.

Necessity of the Supercomputer

Although the calculation scale is not large, since there are many test conditions and calculation parameters and the number of cases is large, it is necessary to implement multiple cases at the same time in supercomputers.

Achievements of the Year

Flutter analysis was carried out under the same conditions as those conducted last year through this fiscal year. The flutter generation point was compared with the test results, and it was confirmed that prediction accuracy of calculations was sufficient.

Annual Reoprt Figures for 2016

Fig.1:Results of Flutter Prediction

 

Annual Reoprt Figures for 2016

Fig.2:Aerodynamic Work Distribution on Blade Surface

 

Publications

N/A

Computational Information

  • Parallelization Methods: Hybrid Parallelization
  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: Automatic Parallelization
  • Number of Processes: 24
  • Number of Threads per Process: 4
  • Number of Nodes Used: 24
  • Elapsed Time per Case (Hours): 50
  • Number of Cases: 75

Resources Used

 

Total Amount of Virtual Cost(Yen): 2,540,442

 

Breakdown List by Resources

Computational Resources
System Name Amount of Core Time(core x hours) Virtual Cost(Yen)
SORA-MA 827,235.85 1,358,720
SORA-PP 132,389.46 1,130,341
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 67.62 637
/data 3,899.66 36,785
/ltmp 1,479.64 13,957

 

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)

JAXA Supercomputer System Annual Report April 2016-March 2017