摘要
Computer-Aided Civil and Infrastructure EngineeringVolume 26, Issue 7 p. 524-541 Durability Monitoring for Improved Service Life Predictions of Concrete Bridge Decks in Corrosive Environments D. Cusson, Corresponding Author D. Cusson National Research Council Canada, Institute for Research in Construction, Ottawa, Canada Email: Daniel.Cusson@nrc.gc.ca.Search for more papers by this authorZ. Lounis, Z. Lounis National Research Council Canada, Institute for Research in Construction, Ottawa, CanadaSearch for more papers by this authorL. Daigle, L. Daigle National Research Council Canada, Institute for Research in Construction, Ottawa, CanadaSearch for more papers by this author D. Cusson, Corresponding Author D. Cusson National Research Council Canada, Institute for Research in Construction, Ottawa, Canada Email: Daniel.Cusson@nrc.gc.ca.Search for more papers by this authorZ. Lounis, Z. Lounis National Research Council Canada, Institute for Research in Construction, Ottawa, CanadaSearch for more papers by this authorL. Daigle, L. Daigle National Research Council Canada, Institute for Research in Construction, Ottawa, CanadaSearch for more papers by this author First published: 14 February 2011 https://doi.org/10.1111/j.1467-8667.2010.00710.xCitations: 60Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Abstract: The 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. Citing Literature Volume26, Issue7October 2011Pages 524-541 RelatedInformation