- Author
- Lounis, Z. | Amleh, L.
- Title
- Reliability-Based Prediction of Chloride Ingress and Reinforcement Corrosion of Aging Concrete Bridge Decks: A Case Study Investigation.
- Coporate
- National Research Council of Canada, Ottawa, Ontario
- Report
- NRCC-39816,
- Distribution
- FOR MORE INFORMATION CONTACT: National Research Council of Canada, Institute for Research in Construction, Ottawa, Ontario, K1A 0R6, Telephone (613) 993-2607, Fax: (613) 952-7673, Email: Irc.Client-Services@nrc.ca Website: http://irc.nrc-cnrc.gc.ca/fulltext/nrcc39816/ [FULL DOCUMENT IN PDF]: http://irc.nrc-cnrc.gc.ca/fulltext/nrcc39816/
- Book or Conf
- Life-Cycle Cost Analysis and Design of Civil Infrastructure Systems and FIB WP 5.3-1, 3rd International IABMAS Workshop. Proceedings. Joint Committee on Structural Safety Workshop on Probabilistic Modeling of Deterioration Processes in Concrete Structures. March 24-26, 2003, Lausanne, Switzerland, 139-147 p., 2003
- Keywords
- bridges (structures) | chloride | corrosion | aging (materials) | investigations | contamination | concretes | structures | uncertainty
- Identifiers
- service life of concrete structures in chloride-laden environments; modeling the uncertainty in service life of concrete bridge decks; probabilistic modeling of chloride ingress into concrete; probabilistic modeling of corrosion initiation time; probabilistic modeling of corrosion propagation time; application to the Dickson bridge deck
- Abstract
- This paper presents a probabilistic approach for predicting the chloride contamination of concrete and reinforcement corrosion, which takes into account the uncertainty associated with the analytical models of chloride transport, corrosion initiation, and damage accumulation, material properties, structural dimensions, and applied environmental and mechanical loads. The proposed approach is illustrated on an aging reinforced concrete bridge deck that has been exposed to chlorides from deicing salts for forty years. An extensive non-destructive and destructive evaluation of the corrosion-damaged deck was undertaken. The field survey data showed a considerable level of variability in all parameters measured with coefficients of variation ranging from 34% for the concrete cover depth to 86% for the diffusion coefficient. The distributions of the chloride concentration at the level of the top reinforcement mat and the time for its corrosion initiation were generated using Monte Carlo Simulation. The simulated results were very close to the field data, which illustrates the prediction capabilities of probabilistic methods as opposed to deterministic methods, as well as to some non-destructive evaluation methods.