• DocumentCode
    3590724
  • Title

    Model transformation method in dynamic response calculation of non-uniform random fields

  • Author

    Xiaosong, Guo ; Jinchun, Zhan ; Xiaoguang, Yao ; Yongbao, Feng

  • Author_Institution
    Xi´´an Res. Inst. of Hi-tech, Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • Firstpage
    32
  • Lastpage
    35
  • Abstract
    Most environmental loads are non-uniform spatio-temporal random fields, which can not be directly divided to field elements. It restricts the usage of SFEA (Stochastic Finite Element Analysis) and makes the dynamical response calculation difficult. The authors propound a model transformation based method that rewrites the sample function of a non-uniform random field as a determinate function multiplied by a sample function of a uniform field, i.e., uniforms the non-uniform random field model. Then we can divide the new field model by employing local average methods to introduce SFEA. In this way, we have transformed the response analysis of non-uniform fields to the calculation of steady stochastic vibrations. The model transformation method enhances the efficiency of dynamical response analysis and adapts to different precision requests, so it implies great theoretical and practical merits.
  • Keywords
    finite element analysis; stochastic processes; determinate function; dynamic response analysis; local average methods; model transformation method; nonuniform random field model; spatio-temporal random field; steady stochastic vibration claculation; stochastic finite element analysis; Aerospace materials; Atmospheric modeling; Computational geometry; Equations; Finite element methods; Spatiotemporal phenomena; Stochastic processes; Stochastic systems; Structural engineering; Uncertainty; Dynamic response; Model transformation; Non-uniform random field; SFEA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358073
  • Filename
    5358073