Bayesian Belief Network to Assess Carbonation-Induced Corrosion in Reinforced Concrete
Publication: Journal of Materials in Civil Engineering
Volume 20, Issue 11
Abstract
Corrosion of reinforcing steel is a major cause of deterioration of reinforced concrete structures. Two primary causes leading to corrosion of reinforcing steel are, respectively, carbonation and chloride contamination of the concrete cover. Estimating the time to corrosion initiation through modeling enables a qualitative and quantitative assessment of the influence of several variables on the mechanism involved. However, many of these variables are subject to stochastic uncertainty, which can be represented through either frequentist or Bayesian probability. This paper proposes a probabilistic-based model for carbonation-induced corrosion based on a Bayesian belief network. The proposed model is compared with a more traditional probabilistic-based technique, Monte Carlo simulation. Both methodologies are illustrated through two case studies and similarities and differences are highlighted.
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Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 20 • Issue 11 • November 2008
Pages: 707 - 717
Copyright
© 2008 ASCE.
History
Received: Jun 26, 2007
Accepted: Jan 3, 2008
Published online: Nov 1, 2008
Published in print: Nov 2008
Notes
Note. Associate Editor: Clarissa F. Ferraris
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