Integration of stochastic deterioration models with multi-criteria decision theory for maintenance optimization of bridge decks

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DOIResolve DOI: http://doi.org/10.1139/L06-011
AuthorSearch for: ; Search for:
TypeArticle
Journal titleSpecial Issue of Canadian Journal of Civil Engineering in Honor of M.S. Mirza
Volume33
IssueJune 6
Pages756765; # of pages: 10
SubjectBridges
AbstractThis paper presents a new approach to optimizing the maintenance of concrete bridge decks. This approach combines a stochastic deterioration model and a multiobjective optimization model. The stochastic deterioration model is based on the first-order Markov chain, which predicts the probabilistic time variation of bridge deck conditions. The multiobjective optimization model takes into account two important and conflicting criteria: the minimization of maintenance costs and the maximization of the network condition. This approach achieves the best compromise between these competing criteria while considering the uncertainty in bridge deck deterioration. The feasibility and capability of the proposed approach are demonstrated with field data for a sample network of bridge decks obtained from the Ministère des Transports du Québec database. This example illustrates the effectiveness of the proposed approach in determining the optimal set of maintenance alternatives for reinforced concrete bridge decks when two or more relevant optimization criteria are taken into consideration.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number47678
16872
NPARC number20378225
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Record identifier9ba34715-4964-460c-a5a3-b7daad9b3c97
Record created2012-07-24
Record modified2016-05-09
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