• DocumentCode
    2686031
  • Title

    Research on the Parallel Partition Performance of High-Speed Train with Aerodynamic Brake Based on Fluent

  • Author

    Zhang, Xia ; Wu, Pin ; Shang, Weilie ; Chen, Wei ; Gao, Sheng

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    27-29 Oct. 2012
  • Firstpage
    1029
  • Lastpage
    1033
  • Abstract
    With the increasing speed of high-speed train, aerodynamic brake has become an important brake method. In order to make better use of Fluent for high-speed train with aerodynamic brake numerical simulation, this paper mainly discusses about how the three parameters of Cell Ratio, Face Ratio and Neighbors influence the methods of domain decomposition. According to comparing the parallel efficiency and iteration time of Principal Axes, Cartesian Strip, Principal Strip and Principal Z-Coordinate domain decomposition methods, we obviously obtain that Cartesian Strip method has the best parallel efficiency. The result provides theoretical reference for numerical simulation of high-speed train.
  • Keywords
    aerodynamics; brakes; iterative methods; mechanical engineering computing; numerical analysis; railways; Cartesian strip; Fluent; aerodynamic brake numerical simulation; cell ratio; domain decomposition; face ratio; high-speed train; iteration time; neighbors; parallel efficiency; parallel partition performance; principal axes; principal strip; principal z-coordinate domain decomposition methods; Acceleration; Aerodynamics; Computational modeling; Educational institutions; Face; Parallel processing; Strips; Fluent; domain decomposition; high-speed train with aerodynamic brake; parallel computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-4873-7
  • Type

    conf

  • DOI
    10.1109/CIT.2012.211
  • Filename
    6392047