0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Comparison of Methodologies to Predict Bridge Deterioration

Author(s):

Medium: journal article
Language(s): English
Published in: Transportation Research Record: Journal of the Transportation Research Board, , n. 1, v. 1597
Page(s): 34-42
DOI: 10.3141/1597-05
Abstract:

Two methods for the estimation of bridge condition states were examined, one based on the Bayesian approach and the other using a binary probit model. The Bayesian approach was considered so that experts' opinions could be combined with observed data. Prior transition probabilities, based on bridge inspectors' experiences, were assumed to follow Dirichlet distribution. Observed data followed a multinomial distribution. The updated transition probabilities were used to predict bridge condition states. In the second approach, deterioration models were developed for each condition state. The dependent variable is a zero/one indicator variable for condition switching state. The binary probit models developed considered the discreteness of condition states and they explicitly linked deterioration to relevant explanatory variables. This approach also incorporated heterogeneity and state dependence due to the use of panel data. An application of these methodologies was demonstrated for substructure element using the Indiana bridge data base.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.3141/1597-05.
  • About this
    data sheet
  • Reference-ID
    10778560
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine