Chloride Diffusion Prediction in Concrete through Mathematical Models Based on Time–Dependent Diffusion Coefficient and Surface Chloride Concentration
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VIEW CORRECTIONPublication: Journal of Materials in Civil Engineering
Volume 34, Issue 11
Abstract
This paper compared several mathematical models predicting chloride penetration in concrete by employing a time-dependent diffusion coefficient for a number of analytical solutions of Fick’s second law. We propose calibrated models that consider a time-dependent build-up of the surface chloride concentration . Predicted values and measured values of chloride profiles from experimental results were compared, which showed that the calibrated models considering a time-dependent surface chloride concentration could significantly improve the correlation compared with the conventional models employing a constant surface chloride concentration. Moreover, we investigated several factors (i.e., skin effect, aging factor , exposure conditions, curing conditions, water/binder ratio, and fly ash content) that may affect chloride penetration in concrete by adopting the calibrated models. The results showed conclusively that these factors also significantly affected the accuracy of the chloride penetration obtained by these calibrated models. Finally, the results predicted by the calibrated Tang–Gulikers model were proved to be reasonably accurate in concrete with a small water/binder ratio compared with the experimental data. It is concluded that the calibrated Tang–Gulikers model can be applied for predicting chloride penetration and solving relevant service-life problems resulting from chloride ingress in concrete.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors acknowledge Professor Fekri Meftah for his valuable discussions and constructive suggestions to improve this paper. The authors also are very grateful to all anonymous reviewers for their insightful comments.
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Journal of Materials in Civil Engineering
Volume 34 • Issue 11 • November 2022
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© 2022 American Society of Civil Engineers.
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Received: Apr 8, 2021
Accepted: Feb 16, 2022
Published online: Aug 25, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 25, 2023
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