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Research on Active Control Technology for Dynamic Aeroelastic System

JAXA Supercomputer System Annual Report April 2016-March 2017

Report Number: R16E0012

  • Responsible Representative: Yutaka Iwahori(Aeronautical Directorate, Structure and Advanced Composite Technology Reasearch Unit)
  • Contact Information: Kenichi Saitoh(ksaitoh@chofu.jaxa.jp)
  • Members: Kenichi Saitoh, Hamidreza Kheirandish
  • Subject Category: Aviation(Aircraft,Body structure)

Abstract

The flutter which is a destructive vibration phenomenon of aircraft occurs more easily around sonic speed than the other speed range. Meanwhile, it is known to be a limit cycle oscillation (LCO). To understand these properties, wind tunnel test is performed, and accuracy of the numerical analysis is improved to simulate these phenomena. Also the control technology forsuppressing the LCO is developed.

Goal

This research is intended to reduce a structural penalty such as increasing for compensation for an aeroelastic safety in a transonic region.

Objective

The objective is to clarify the characteristics of the limit cycle oscillation (LCO) which occurs in a transonic region, and is to increase the LCO speed by more than 15% with active control.

References and Links

N/A

Use of the Supercomputer

Numerical analysis code for unsteady aerodynamics is improved and verified with data of the wind tunnel test. The performance of the LCO control will be confirmed.

Necessity of the Supercomputer

CFD simulation is required for obtaining a mathematical model for a control system. CFD simulation is also required for a demonstration of the system because it is difficult to realize the wind tunnel model which keeps a similarity law.

Achievements of the Year

Control simulation module for a general state space model was added to the CFD code. (Fig.1)

Grid for asupersonic transport model with an aileron was generated. (Fig.2)

To verify accuracy of unsteady aerodynamic analysis, a grid of the model with a control surface which is used in the joint research with DLR was generated based on geometric measurement data. (Fig.3)

Annual Reoprt Figures for 2016

Fig.1:Block diagram of the control system

 

Annual Reoprt Figures for 2016

Fig.2:Grid of the model with aileron

 

Annual Reoprt Figures for 2016

Fig.3:Grid of the NLR-7301 model

 

Publications

N/A

Computational Information

  • Parallelization Methods: Process Parallelization
  • Process Parallelization Methods: MPI
  • Thread Parallelization Methods: n/a
  • Number of Processes: 96
  • Number of Threads per Process: 1
  • Number of Nodes Used: 3
  • Elapsed Time per Case (Hours): 3
  • Number of Cases: 4

Resources Used

 

Total Amount of Virtual Cost(Yen): 15,194

 

Breakdown List by Resources

Computational Resources
System Name Amount of Core Time(core x hours) Virtual Cost(Yen)
SORA-MA 5,152.20 8,474
SORA-PP 84.10 718
SORA-LM 80.39 1,808
SORA-TPP 0.00 0

 

SORA-FS File System Resources
File System Name Storage assigned(GiB) Virtual Cost(Yen)
/home 3.97 12
/data 562.03 1,708
/ltmp 813.80 2,473

 

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


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