A stochastic method for condition rating of concrete bridges

Abu S. Dabous, S. Alkass

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Bridge condition rating is used to make important decisions regarding needs assessment and budget allocation. This study analyzes the use of the fuzzy logic approach to overcome uncertainty problems associated with the bridge condition assessment process. The analysis reveals a number of practical difficulties associated with the application of the fuzzy mathematics to develop an overall bridge condition rating. An alternative probabilistic methodology to rate the bridge elements taking into account the uncertainty issue is developed. The Analytic Hierarchy Process is adopted to evaluate the structural importance of the various bridge elements. A technique is proposed to aggregate the condition rating and the structural importance of the bridge elements into an overall bridge condition rating. The developed methodology uses the detailed visual inspection results to perform bridge condition rating and blends perfectly with the popular Markov chain approach to model deterioration.

Original languageEnglish
Title of host publicationConstruction Research Congress 2010
Subtitle of host publicationInnovation for Reshaping Construction Practice - Proceedings of the 2010 Construction Research Congress
Pages558-567
Number of pages10
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventConstruction Research Congress 2010: Innovation for Reshaping Construction Practice - Banff, AB, Canada
Duration: May 8 2010May 10 2010

Publication series

NameConstruction Research Congress 2010: Innovation for Reshaping Construction Practice - Proceedings of the 2010 Construction Research Congress

Conference

ConferenceConstruction Research Congress 2010: Innovation for Reshaping Construction Practice
Country/TerritoryCanada
CityBanff, AB
Period5/8/105/10/10

Keywords

  • Bridge
  • Concrete
  • Condition assessment
  • Fuzzy
  • Inspection
  • Monte carlo
  • Probabilistic

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality
  • Building and Construction

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