A Time-Variant Model for Chloride Ion Diffusion Coefficient in Concrete

When the chloride ion concentration within concrete reaches a certain threshold, it triggers corrosion of the reinforcing steel bars, severely compromising the durability of reinforced concrete structures. Accurately assessing how the chloride ion concentration in concrete evolves over time is crucial for ensuring structural safety and evaluating the remaining service life. This work first analyzes the advantages and disadvantages of several existing time-dependent models for chloride ion diffusion coefficients. Based on this foundation, a new time-varying model is proposed to more accurately predict the variation of chloride ion diffusion coefficient with service time. The newly proposed model can be regarded as a variant of the square-root model, incorporating only two fitting parameters. It can be readily transformed into a linear regression model for solving the fitting parameters, rendering it highly convenient to use. Using 11 sets of experimental data from the existing literature as examples, the new model consistently demonstrates the lowest mean fitting error and the highest coefficient of determination across all scenarios, showcasing its superior generality. This new model likely reflects the fundamental physical law governing the temporal variation of chloride ion diffusion coefficients.

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Publication Details

Journal
Buildings
Published
2025-06-27
DOI
https://doi.org/10.3390/buildings15132272
Citations
2
Primary Topic
Concrete and Cement Materials Research
Type
article
Field-Weighted Citation Impact
1.91
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article

A Time-Variant Model for Chloride Ion Diffusion Coefficient in Concrete

Kenong Xia, Qiuwei Yang, Xi Peng, Hui Fang et al.
2 citations
Buildings
Concrete and Cement Materials Research
1.91
article

A Time-Variant Model for Chloride Ion Diffusion Coefficient in Concrete

Kenong Xia, Qiuwei Yang, Xi Peng, Hui Fang, Jiwei Ma
article en
2 citations

Abstract

When the chloride ion concentration within concrete reaches a certain threshold, it triggers corrosion of the reinforcing steel bars, severely compromising the durability of reinforced concrete structures. Accurately assessing how the chloride ion concentration in concrete evolves over time is crucial for ensuring structural safety and evaluating the remaining service life. This work first analyzes the advantages and disadvantages of several existing time-dependent models for chloride ion diffusion coefficients. Based on this foundation, a new time-varying model is proposed to more accurately predict the variation of chloride ion diffusion coefficient with service time. The newly proposed model can be regarded as a variant of the square-root model, incorporating only two fitting parameters. It can be readily transformed into a linear regression model for solving the fitting parameters, rendering it highly convenient to use. Using 11 sets of experimental data from the existing literature as examples, the new model consistently demonstrates the lowest mean fitting error and the highest coefficient of determination across all scenarios, showcasing its superior generality. This new model likely reflects the fundamental physical law governing the temporal variation of chloride ion diffusion coefficients.

BuildingsVol. 15(13)
University of Nottingham Ningbo China (CN), Chongqing University (CN), Ningbo University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 15%
Concrete and Cement Materials Research
1.91
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