• DocumentCode
    2363772
  • Title

    Reliability analysis for nonlinear structures

  • Author

    Gao, Liwei ; Haldar, Achintya

  • Author_Institution
    Dept. of Civil Eng. & Eng. Mech., Arizona Univ., Tucson, AZ, USA
  • fYear
    1993
  • fDate
    25-28 Apr 1993
  • Firstpage
    587
  • Lastpage
    594
  • Abstract
    An efficient stochastic finite element-based procedure is proposed for the reliability analysis of two- or three-dimensional frame structures with linear or geometrical nonlinearity. The method is based on the advanced first order second moment reliability analysis procedure. The assumed stress field approach is used in the finite element formulation to efficiently compute the nonlinear structural response and the corresponding response gradients. The material properties, geometry, and external loads are considered to be random variables. The failure criteria of the structure are expressed in terms of the ultimate and serviceability limit state functions. The proposed method is not only very efficient but has several other advantages
  • Keywords
    finite element analysis; reliability theory; stochastic processes; structural engineering; structural engineering computing; advanced first order second moment reliability analysis procedure; external loads; failure criteria; frame structures; geometrical nonlinearity; geometry; material properties; nonlinear structural response; reliability analysis; response gradients; serviceability limit state functions; stochastic finite element-based procedure; stress field approach; Civil engineering; Computational efficiency; Context modeling; Costs; Finite element methods; Geometry; Reliability engineering; Stochastic processes; Stress; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-3850-8
  • Type

    conf

  • DOI
    10.1109/ISUMA.1993.366710
  • Filename
    366710