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Prediction of Time to Corrosion-Induced Concrete Cracking Based on Fracture Mechanics Criteria
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.
Prediction of Time to Corrosion-Induced Concrete Cracking Based on Fracture Mechanics Criteria
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.
Prediction of Time to Corrosion-Induced Concrete Cracking Based on Fracture Mechanics Criteria
Lau, Ian (author) / Li, Chun-Qing (author) / Fu, Guoyang (author)
2019-05-17
Article (Journal)
Electronic Resource
Unknown
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