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Reliability Estimation of Existing Concrete Bridge Based on Bayesian Dynamic Model

Auteur(s):

Médium: article de revue
Langue(s): en 
Publié dans: The Open Civil Engineering Journal, , n. 1, v. 9
Page(s): 698-704
DOI: 10.2174/1874149501509010698
Abstrait:

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:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

  • Informations
    sur cette fiche
  • Reference-ID
    10175555
  • Publié(e) le:
    30.12.2018
  • Modifié(e) le:
    03.08.2019