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Numerical Simulation of Chloride-Induced Corrosion Initiation in Reinforced Concrete Structures with Cracks

Leung, Christopher K. Y. / Hou, Dongwei

Steel corrosion is a major problem with concrete structures. For cracked concrete structures exposed to chloride environment, chloride diffusivity through the crack ( $D_{c r}$ ) is higher than that through the concrete matrix ( $D_{o}$ ), and therefore, the corrosion will occur at an earlier time. In this study, finite-element analysis is performed to study the process of chloride diffusion through cracks. For various values of $D_{o}$ , $D_{c r}$ , and crack width, the chloride-concentration distribution is determined. Based on the simulation results, the empirical equation for an equivalent diffusion coefficient ( $D_{e q}$ ) will be derived, which can be used directly in the solution of the one-dimensional diffusion equation to calculate the predicted chloride profile, the corrosion-initiation time, and penetration of corrosion front. The study will provide a convenient but accurate approach for predicting the chloride diffusion, including the corrosion initiation, under real-world situations where cracks are present in a concrete structure.

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Numerical Simulation of Chloride-Induced Corrosion Initiation in Reinforced Concrete Structures with Cracks

Leung, Christopher K. Y. / Hou, Dongwei

Steel corrosion is a major problem with concrete structures. For cracked concrete structures exposed to chloride environment, chloride diffusivity through the crack ( $D_{c r}$ ) is higher than that through the concrete matrix ( $D_{o}$ ), and therefore, the corrosion will occur at an earlier time. In this study, finite-element analysis is performed to study the process of chloride diffusion through cracks. For various values of $D_{o}$ , $D_{c r}$ , and crack width, the chloride-concentration distribution is determined. Based on the simulation results, the empirical equation for an equivalent diffusion coefficient ( $D_{e q}$ ) will be derived, which can be used directly in the solution of the one-dimensional diffusion equation to calculate the predicted chloride profile, the corrosion-initiation time, and penetration of corrosion front. The study will provide a convenient but accurate approach for predicting the chloride diffusion, including the corrosion initiation, under real-world situations where cracks are present in a concrete structure.

Numerical Simulation of Chloride-Induced Corrosion Initiation in Reinforced Concrete Structures with Cracks

Leung, Christopher K. Y. / Hou, Dongwei

Steel corrosion is a major problem with concrete structures. For cracked concrete structures exposed to chloride environment, chloride diffusivity through the crack ( $D_{c r}$ ) is higher than that through the concrete matrix ( $D_{o}$ ), and therefore, the corrosion will occur at an earlier time. In this study, finite-element analysis is performed to study the process of chloride diffusion through cracks. For various values of $D_{o}$ , $D_{c r}$ , and crack width, the chloride-concentration distribution is determined. Based on the simulation results, the empirical equation for an equivalent diffusion coefficient ( $D_{e q}$ ) will be derived, which can be used directly in the solution of the one-dimensional diffusion equation to calculate the predicted chloride profile, the corrosion-initiation time, and penetration of corrosion front. The study will provide a convenient but accurate approach for predicting the chloride diffusion, including the corrosion initiation, under real-world situations where cracks are present in a concrete structure.

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Title:

Numerical Simulation of Chloride-Induced Corrosion Initiation in Reinforced Concrete Structures with Cracks

Contributors:

Leung, Christopher K. Y. (author) / Hou, Dongwei (author)

Published in:

Journal of Materials in Civil Engineering ; 27

Publication date:

2014-07-16

ISSN:

0899-1561 , 1943-5533

DOI:

https://doi.org/10.1061/(ASCE)MT.1943-5533.0001057

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

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