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THE PROBALISTIC ESTIMATION OF THE CHLORIDE INGRESS IN CONCRETE STRUCTURES
Abstract
The leading material property of concrete that has the greatest influence on its service life and therefore sustainability depends primarily on the method of loading of the structure and the characteristics of the environment in which it is supposed to fulfill its function. The motivation of this study is the prediction of chloride ingress in time into the concrete specimens using a 1D analytical model implemented in probabilistic software FReET-D. This estimation is directly used for prediction of the time necessary for sufficiently deep chloride penetration into concrete specimens in laboratory environment. Exposure of concrete specimens to NaCl solution is a part of a large experimental program including the exposure of samples in harsh environments causing degradation of concrete, such as chlorides.
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