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Advances in Materials Science and Engineering
Volume 2017, Article ID 1901459, 10 pages
Research Article

Prediction of Time-Dependent Chloride Diffusion Coefficients for Slag-Blended Concrete

1College of Engineering, Department of Architectural Engineering, Kangwon National University, Chuncheon-Si 200-701, Republic of Korea
2Department of Architectural Engineering, Hanyang University, Ansan-Si 426-791, Republic of Korea

Correspondence should be addressed to Xiao-Yong Wang;

Received 25 August 2016; Accepted 10 November 2016; Published 1 January 2017

Academic Editor: Kazunori Fujikake

Copyright © 2017 Ki-Bong Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The chloride diffusion coefficient is considered to be a key factor for evaluating the service life of ground-granulated blast-furnace slag (GGBS) blended concrete. The chloride diffusion coefficient relates to both the concrete mixing proportions and curing ages. Due to the continuous hydration of the binders, the capillary porosity of the concrete decreases and the chloride diffusion coefficient also decreases over time. To date, the dependence of chloride diffusivity on the binder hydration and curing ages of slag-blended concrete has not been considered in detail. To fill this gap, this study presents a numerical procedure to predict time-dependent chloride diffusion coefficients for slag-blended concrete. First, by using a blended cement hydration model, the degree of the binder reaction for hardening concrete can be calculated. The effects of the water to binder ratios and slag replacement ratios on the degree of the binder reaction are considered. Second, by using the degree of the binder reaction, the capillary porosity of the binder paste at different curing ages can be determined. Third, by using the capillary porosity and aggregate volume, the chloride diffusion coefficients of concrete can be calculated. The proposed numerical procedure has been verified using the experimental results of concrete with different water to binder ratios, slag replacement ratios, and curing ages.