Life-cycle assessment of highway bridges

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ConferenceProceedings of the 2002 Taiwan-Canada Workshop on Bridges: 08 April 2002, Taipei, Taiwan
Pages6182; # of pages: 22
Subjectbridge management system, concrete bridge deck, condition prediction, deteriorationmodel, life-cycle cost, Markov chain; Bridges
AbstractMany transportation agencies have recently adopted bridge management systems (BMSs) tooptimize decisions related to the expenditure of their limited funds on bridge maintenance,rehabilitation, and replacement (MR&R). The analysis in most of these BMSs is based on thelife-cycle assessment of different MR&R alternatives for a network of bridges. This assessmentrequires reliable prediction of the condition of different bridge components when various MR&Ractions are implemented (including the ?do nothing? option). The state-of-the-art systemsconsider the use of the stochastic Markov chain models in predicting the bridge performance.This stochastic approach can predict the condition of a bridge component at any time usingpredefined transition probabilities obtained by expert judgment elicitation procedures. In thispaper, the actual condition data obtained from the Ministére de Transport du Québec (MTQ) areused to develop transition probabilities for concrete bridge decks. These probabilities areemployed to validate those developed based on the literature and engineering judgment. Inaddition, a subset of the data is utilized to validate the state independence assumption of Markovchains.
Publication date
PublisherNational Center for Research on Earthquake Engineering
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number45395
NPARC number20378967
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Record identifier6e6c0ccb-bf9e-47bf-9335-e64947dc7227
Record created2012-07-24
Record modified2016-05-09
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