摘要：
Utilizing numerical simulation models to predict the long-term mechanical and transport behavior of concrete structures is becoming increasingly popular. The majority of these models have been developed using laboratory test data that consider concrete as a homogeneous material with spherical aggregates. These models could not be a represented of real concrete because it has no primitive shaped aggregate besides that the porosity size and distribution varies from point to point. In this study a novel method for more accurate prediction of the chloride diffusion in concrete was developed. A general framework of the quantitative computed tomography (QCT) and finite element analysis was used to construct 3D images of concrete cylinders. A computer code was developed using Matlab to analyze images and to measure the amount and distribution of coarse aggregates and voids in the concrete cylinders. The rapid performance and independency from personnel, as well as the capability of inspecting the internal structure and possible damages within the cylinders, make this method very applicable for quality control and quality assurance applications as well as for forensic investigations. During this study, it was realized that the shape and distribution of aggregates as well as Interfacial Transition Zones (ITZs) have significant impact on the chloride diffusion into the concrete. Therefore, it was imperative to construct a predictive model which was closer to reality, considering the distribution of aggregate particles (coarse and fine), voids, and ITZs (around both coarse and fine aggregates). Thus, a numerical method for the prediction of the chloride penetration into concrete was developed using a scanned copy of the concrete internal structure. The results obtained from this study showed that, QCT along with image analysis techniques used to study the air void content and distribution as well as coarse aggregate content in concrete in 3D had a good agreement with the micro
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