• DocumentCode
    2808038
  • Title

    Time-dependent reliability analysis of cable-stayed bridge based on Monte-Carlo stochastic FEM

  • Author

    Wan, Zhen ; Mao, Xue-ming

  • Author_Institution
    Sch. of Civil & Archit. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    3737
  • Lastpage
    3740
  • Abstract
    In order to establish accurate stochastic finite element model, reliability analysis of long-span cable-stayed bridge should consider structure´s geometrical non-linearity, system conversion during construction process and other influence. Traditional method to analyze load effect is not suitable to cable stayed bridge for it´s redundancy character. Monte-Carlo stochastic FEM is appropriate, which can express the non-linear relationship between load and load effect factually. Load effects get by Monte-Carlo stochastic FEM are combined to different limit state. The time-dependent reliability index of cable-stayed bridge is calculated considering resistance deterioration. The results show that Monte-Carlo stochastic FEM is an efficient approach to analyze cable-stayed bridge´s load effect and is accorded with engineering reliability assessment.
  • Keywords
    Monte Carlo methods; bridges (structures); finite element analysis; reliability; stochastic processes; structural engineering; Monte Carlo method; cable stayed bridge; construction process; engineering reliability assessment; load effect; resistance deterioration; stochastic FEM; stochastic finite element model; time dependent reliability analysis; Bridges; Finite element methods; Monte Carlo methods; Reliability engineering; Reliability theory; Stochastic processes; Monte-Carlo stochastic FEM; cable-stayed bridge; geometrical nonlinearity; load effect; reliability; time-dependent reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5987808
  • Filename
    5987808