• DocumentCode
    3043691
  • Title

    The reliability assessment of in-service bridge based on probabilistic and non-probabilistic hybrid reliability model

  • Author

    Chen, Xuyong ; Fan, Jianping

  • Author_Institution
    Transp. Res. Center, Wuhan Inst. of Technol., Wuhan, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    6618
  • Lastpage
    6621
  • Abstract
    Due to the complexity of the existing bridges as well as the impact of the survey methods and funds, interval variables are the main parameters, there are few random variables and they are mostly of normal or lognormal distribution and are difficult to be solved with the conventional probabilistic and non-probabilistic hybrid model. Therefore, this paper presents a new probabilistic and non-probabilistic hybrid model. First, take a realized value for the interval variables, get the reliability indexes with the first-order second-moment center-point method, establish a second-order functional equation only containing the interval variables based on the provisions of the existing regulations on highway reliability and finally solve the non-probabilistic reliability indexes so as to evaluate the hybrid reliability of the existing bridges. Via example evaluation, the effectiveness of the method is verified.
  • Keywords
    bridges (structures); log normal distribution; reliability theory; structural engineering; first-order second-moment center-point method; highway reliability; in-service bridge; lognormal distribution; nonprobabilistic hybrid reliability model; reliability assessment; reliability index; second-order functional equation; Bridges; Equations; Indexes; Mathematical model; Probabilistic logic; Random variables; Reliability; bridge; interval variable; probabilistic and non-probabilistic hybrid model; random variable; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002750
  • Filename
    6002750