• DocumentCode
    532257
  • Title

    A method of solving the non-probabilistic reliability index based on support vector machine

  • Author

    Zhijie, Han ; Zhangqi, Wang

  • Author_Institution
    Sch. of Energy Power & Mech. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    3
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Since the limit state function of the mechanical structure is an implicit function of the uncertain variables, it is difficult to analyze structure reliability by means of using conventional methods. A method obtained the non-probability reliability index the basis of support vector machines is proposed for solving more complexity or implicitly of the limit state function. The uncertain variables are described by the convex model, and a method to get sample is rationally constructed. A numerical example is given to assess the reliability of structure with a number of uncertain variables and to elaborate the process of structural reliability on support vector machine. The results show that the method of fitting nonlinear implicit limit state function can not only meet the actual requirement, but also easy to calculate. The method provides a new way for further study about the multi-failure mode reliability.
  • Keywords
    reliability; structural engineering computing; support vector machines; convex model; implicit function; mechanical structure; nonlinear implicit limit state function; nonprobabilistic reliability index; nonprobability reliability index; structural reliability; structure reliability; support vector machines; uncertain variables; Indexes; Convex model; Non-probabilistic Reliability Index; Support Vector Machine; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620222
  • Filename
    5620222