Concrete has a random microstructure that is different over many length scales. Any prediction of properties from a fundamental point of view must somehow take into account these many length scales, from the nanometer C-S-H pores to the centimeter aggregates. This paper shows progress on such a model for the prediction of concrete chloride diffusivity (electrical conductivity) from the mixture proportions and the expected degree of hydration, and the subsequent usage of the predicted diffusivity coefficients in predicting chloride ion ingress profiles and the expected service life of concrete exposed in a chloride laden environment. By explicitly considering the microstructure at all levels, the field performance of concrete can be predicted based on the underlying fundamental microstructure.
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