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

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Download	View accepted manuscript: Durability monitoring for improved service life predictions of concrete bridge decks in corrosive environments (PDF, 1.4 MiB)
DOI	Resolve DOI: https://doi.org/10.1111/j.1467-8667.2010.00710.x
Author	Search for: Cusson, D.¹; Search for: Lounis, Z.¹; Search for: Daigle, L.¹
Affiliation	National Research Council of Canada. NRC Institute for Research in Construction
Format	Text, Article
Subject	Bridges
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.
Publication date	2011-03-01
In	Computer-Aided Civil and Infrastructure Engineering 26 (1 March 2011): 1–40.
Language	English
Peer reviewed	Yes
NRC number	NRCC 52708 NRC-IRC-20759
NPARC number	20374185
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Record identifier	d1955971-79f4-4005-bf7b-1106498275c5
Record created	2012-07-23
Record modified	2020-04-21

Date modified:: 2024-07-17