Prediction of Time to Corrosion-Induced Concrete Cracking Based on Fracture Mechanics Criteria
Publication: Journal of Structural Engineering
Volume 145, Issue 8
Abstract
A review of the literature shows that current research on corrosion-affected reinforced concrete structures focuses more on strength deterioration than on serviceability deterioration. For corrosion-induced concrete cracking, little research has been based on fracture mechanics criteria and stochastic processes. In this paper, a new methodology is proposed for predicting the time to corrosion-induced concrete cracking based on fracture mechanics criteria. A stochastic model with a nonstationary lognormal process was developed for corrosion-induced concrete cracking, and the first-passage probability method was employed to predict the time-dependent probability of its occurrence. The merit of using a nonstationary lognormal process for corrosion-induced concrete cracking is that it eliminates unrealistic negative values of the normal distribution for inherently positive values of physical parameters. It was found that the diameter of reinforcing steel , corrosion rate , and effective modulus of elasticity have the most influence on the probability of corrosion-induced concrete cracking. The methodology presented in the paper can serve as a tool for structural engineers and asset managers in making decisions with regard to the serviceability of corrosion-affected concrete structures.
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Acknowledgments
Financial support from Metro Trains Melbourne, Australia, and the Australian Research Council under Grant Nos. DP140101547, LP150100413, and DP170102211 is gratefully acknowledged.
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©2019 American Society of Civil Engineers.
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Received: Mar 27, 2018
Accepted: Dec 7, 2018
Published online: May 17, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 17, 2019
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