A New approach to programming maintenance activities for concrete bridge decks

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ConferenceAnnual Conference of the Canadian Society for Civil Engineering: 04 June 2003, Moncton, N.B.
Pages19; # of pages: 9
SubjectBridges; Concrete
AbstractThis paper presents an approach to programming maintenance alternatives for a network of concrete bridge decks using genetic algorithms and Markovian performance prediction models. Genetic algorithms are robust and stochastic optimization techniques that overcome the mathematical complications and combinatorial explosion problems of the conventional optimization techniques. Markovian models are the state-of-the art stochastic models used in several maintenance management systems to predict the future condition for a network of infrastructure facilities. An illustrative example for finding the optimal maintenance alternatives for concrete bridge decks using field data is presented to demonstrate the feasibility and capability of the proposed approach.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number46138
NPARC number20386227
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Record identifier0eae446e-2933-499a-bd20-54f2faa1f924
Record created2012-07-25
Record modified2016-05-09
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