Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116783
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Title: Analysis of time-dependent chloride diffusion in surface-treated concrete based on a rapid numerical approach
Authors: Wang, T
Zheng, JJ
Dai, JG 
Issue Date: 2023
Source: Structure and infrastructure engineering, 2023, v. 19, no. 3, p. 332-344
Abstract: Reinforcement corrosion induced by chloride penetration is a major threat to reinforced concrete structures in marine environments. The use of surface treatments to improve the durability of reinforced concrete structures has drawn increasing attention in recent decades due to their cost-effectiveness and convenience in construction. However, current knowledge of a practical, durable design to protect surface-treated concrete structures from chloride-induced steel corrosion remains insufficient. On this account, a rapid numerical approach was developed in this study to analyse the chloride diffusion in bilayer materials. In this approach, the time-dependency was considered for the chloride diffusion coefficients of both the surface-treated layer and the underlying concrete substrate and for the surface chloride content. The validity of this approach was verified with the finite element method and the computation time was only one hundred-thousandth that of the latter. This proposed approach makes it feasible in practice to estimate the probability of corrosion initiation in surface-treated concrete structures via Monte Carlo simulation.
Keywords: Chloride content
Diffusion process
Probability of corrosion initiation
Rapid numerical approach
Steel corrosion
Surface-treated concrete
Time-dependence
Publisher: Taylor & Francis
Journal: Structure and infrastructure engineering 
ISSN: 1573-2479
EISSN: 1744-8980
DOI: 10.1080/15732479.2021.1945113
Rights: © 2021 Informa UK Limited, trading as Taylor & Francis Group
This is an Accepted Manuscript of an article published by Taylor & Francis in Structure and Infrastructure Engineering on 28 Jun 2021 (published online), available at: https://doi.org/10.1080/15732479.2021.1945113.
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