• DocumentCode
    3432975
  • Title

    Numerical analysis on the pressure waves in tunnels

  • Author

    Bao Hai Tao

  • Author_Institution
    Fac. of Transp. Eng., Huaiyin Inst. of Technol., Huaiyin, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    456
  • Lastpage
    459
  • Abstract
    Computational Fluid Dynamics (CFD) is used for the investigation of the pressure wave. This paper analyzes the formation of pressure wave. The simulation model of pressure wave is established based on three-dimensional, unsteady, viscous Reynolds averaged equations and the k-ε two-equation turbulence model, by using dynamic grid finite volume method, the pressure wave produced when train with different sizes and speed go through the tunnel were simulated numerically. And the simulation results were compared with similar experimental data. The results showed that the conclusion and trends of the variation is consistent with the experimental results, which verified the reliability of the numerical simulation, so it can be used to predict the fluctuation law of pressure waves when the train goes through the tunnel, studying the factors that affect the pressure to optimize the design parameters of the tunnel.
  • Keywords
    aerodynamics; computational fluid dynamics; finite volume methods; flow instability; flow simulation; railway rolling stock; tunnels; turbulence; CFD; computational fluid dynamics; dynamic grid finite volume method; flow simulation; k-ε two-equation turbulence model; numerical analysis; numerical simulation reliability; pressure waves; three-dimensional unsteady flow model; train; tunnels; viscous Reynolds averaged equations; Aerodynamics; Atmospheric modeling; Equations; Mathematical model; Numerical models; Numerical simulation; Transient analysis; CFD; Train; dynamic grid; numerical simulation; pressure wave;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028678
  • Filename
    6028678