Durability monitoring for improved service life predictions of concrete bridge decks in corrosive environments

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DOIResolve DOI: http://doi.org/10.1111/j.1467-8667.2010.00710.x
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TypeArticle
Journal titleComputer-Aided Civil and Infrastructure Engineering
Volume26
Pages140; # of pages: 40
SubjectBridges
AbstractThe development of an effective strategy for the inspection and monitoring of the nation?s critical bridges has become necessary due to aging, increased traffic loads, changing environmental conditions, and advanced deterioration. This article presents the development of a probabilistic mechanistic modeling approach supported by durability monitoring to obtain improved predictions of service life of concrete bridge decks exposed to chlorides. The application and benefits of this approach are illustrated on a case study of a reinforced concrete barrier wall of a highway bridge monitored over 10 years. It is demonstrated that service life predictions using probabilistic models calibrated with selected monitored field data can provide more reliable assessments of the probabilities of reinforcement corrosion and corrosion-induced damage compared to using deterministic models based on standard data from the literature. Such calibrated probabilistic models can help decision makers optimize intervention strategies as to how and when to repair or rehabilitate a given structure, thus improving its life cycle performance, extending its service life and reducing its life cycle cost.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number52708
20759
NPARC number20374185
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Record identifierd1955971-79f4-4005-bf7b-1106498275c5
Record created2012-07-23
Record modified2016-05-09
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