• DocumentCode
    2823386
  • Title

    Optimal Design of the S-Rail for Crashworthiness Analysis

  • Author

    Wu, Hequan ; Xin, Yong

  • Author_Institution
    Coll. of Mech. Eng., Nanchang Univ., Nanchang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    735
  • Lastpage
    738
  • Abstract
    S-rails in vehicle structure are the main energy-absorbing components in case of frontal collision. Optimal crashworthiness design of such components is one of the crucial tasks in designing crashworthy vehicles. In this paper, an S-Rail impact model is extracted from a true rail used in a vehicle frame. Response surface method coupled with genetic algorithm is presented and utilized to obtain optimal crashworthiness design. The method adopted in this research makes use of design of experiments (DOE) and numerical optimization algorithms. The nonlinear explicit finite element code PAM-CRASH was used to conduct the rail impact problems and generate the energy functions to be maximized. Several design parameters like the cross section width, cross section height and the curvature angle have been proposed and used to optimize the S-railpsilas structure. The results indicated the promising capabilities of the proposed optimal design method for the energy-absorbing of S-rails.
  • Keywords
    design engineering; design of experiments; finite element analysis; genetic algorithms; impact (mechanical); rails; railway engineering; railway safety; response surface methodology; vehicle dynamics; S-rail impact model; design of experiments; energy-absorbing components; frontal collision; genetic algorithm; nonlinear explicit finite element code PAM-CRASH; numerical optimization algorithms; optimal crashworthiness design; response surface method; vehicle safety; vehicle structure; Algorithm design and analysis; Computer crashes; Design optimization; Finite element methods; Genetic algorithms; Rails; Response surface methodology; US Department of Energy; Vehicle crash testing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.80
  • Filename
    5194053