Framework for Estimating Bridge-Deck Chloride-Induced Degradation from Local Modeling to Global Asset Assessment
Publication: Journal of Bridge Engineering
Volume 21, Issue 9
Abstract
This technical note presents and evaluates a simple approach for estimating the degradation of bridge decks caused by chloride-induced corrosion degradation. This approach uses the Monte Carlo method and combines a local deterministic mechanics-based model for predicting surface cracking time and a global probabilistic model for predicting a degradation curve by using random variables. The predicted damage severity is mapped to the National Bridge Inventory rating scheme. Simulation results are shown to be in reasonable agreement with the documented ratings of bridges from different regions in the state of Michigan. Implementation of the method into a computer program is discussed to illustrate how the approach can allow mechanics-based models to be more accessible to highway agencies for condition assessment and for projecting the performance of existing and new reinforced concrete bridge decks.
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Acknowledgments
The material presented in this paper is based on work supported by the Michigan Department of Transportation (MDOT). The opinions, findings, and conclusions expressed in this paper are those of the authors alone and do not necessarily reflect the views of MDOT. The authors thank Dr. Ioannis Balafas from the University of Cyprus and Prof. Chris Burgoyne from the University of Cambridge for sharing their work and experience on the deterministic model for chloride-induced corrosion used in this study.
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Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 21 • Issue 9 • September 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Mar 4, 2015
Accepted: Feb 25, 2016
Published online: Mar 25, 2016
Discussion open until: Aug 25, 2016
Published in print: Sep 1, 2016
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