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Reliability Estimation of Existing Concrete Bridge Based on Bayesian Dynamic Model

Author(s):

Medium: journal article
Language(s): en 
Published in: The Open Civil Engineering Journal, , n. 1, v. 9
Page(s): 698-704
DOI: 10.2174/1874149501509010698
Abstract:

It is of great significance to timely and accurately forecast the safety state of the bridge as far as the maintenance is concerned. Bayesian forecasting is a method of deriving posterior distribution in accord with the sampling information and prior information, where real time online forecasting is realized by means of recursive algorithm and the stationary assumption. Bayesian dynamic linear model is created to forecast the reliability of the bridge on the basis of the observed stress information of a bridge structure. According to the observed information, the model created is a superposition of constant mean model and seasonal effect model. The analysis of a practical example illustrates tha Bayesian dynamic linear modes can provide an accurate real time forecast of the reliability of the bridge

Copyright: © 2016 Shuangrui Chen and Quansheng Yan
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10175555
  • Published on:
    30/12/2018
  • Last updated on:
    02/06/2021