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Recent Studies on Aerodynamic Noise Reduction at RTRI

  • T. Takaishi
  • N. Yamazaki
  • T. Sueki
  • T. Uda
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 118)

Summary

As the maximum speed of high-speed trains increases, the effect of aerodynamic noise on the sound level at the wayside of the track becomes important. When the surface of bluff bodies such as pantographs is covered with porous materials, the aerodynamic noise generated by unsteady motion of vortices is significantly reduced. Experimental evaluation techniques of instantaneous flow fields using time-resolved PIV enable prediction of sound in the far field based on the theory of vortex sound. Aerodynamic noise emitted from a partial model of a pantograph is predicted numerically by coupling the calculation of unsteady flow with the evaluation of acoustical behaviour. The simulation succeeds in giving detailed information on the structure of aerodynamic sound sources.

Keywords

Particle Image Velocimetry Sound Source Sound Pressure Level Porous Metal Unsteady Motion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Sueki, T., et al.: Application of porous material to reduce aerodynamic noise caused by a high-speed pantograph. In: Proceedings of Inter Noise 2008, Shanghai, China (2008)Google Scholar
  2. 2.
    Uda, T., et al.: Cross-correlation analysis of aeroacoustic sound and flow field using time-resolved PIV. In: Proceedings of 15th Int. Symp. on Application of Laser Techniques to Fluid Mechanics, Lisbon, Portugal (2010)Google Scholar
  3. 3.
    Howe, M.S.: Theory of vortex sound. Cambridge University Press, Cambridge (2003)MATHGoogle Scholar
  4. 4.
    Takaishi, T., et al.: A computational method of evaluating noncompact sound based on vortex sound theory. Journal of the Acoustical Society of America 121(3), 1353–1361 (2007)CrossRefGoogle Scholar

Copyright information

© Springer 2012

Authors and Affiliations

  • T. Takaishi
    • 1
  • N. Yamazaki
    • 1
  • T. Sueki
    • 1
  • T. Uda
    • 1
  1. 1.Noise Analysis GroupRailway Technical Research Institute UmegaharaMaibaraJapan

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