Abstract
Full probabilistic service life design is the most accurate approach to address the durability of reinforced concrete structures. The aim of this study was to develop a full probabilistic service life design method based on a durability indicator that can be assessed on site, thus allowing simple conformity control. Experimental data and a combination of existing models were applied to estimate the service life of reinforced concrete structures, subject to carbonation-induced corrosion. Furthermore, a conditional probability density function of carbonation rates, given an air-permeability coefficient, was established. Probability density functions of service life, for different scenarios, were obtained through the Monte Carlo simulation technique. The analysis of those curves enabled the definition of design charts, that allow practitioners to set cover depth and air-permeability specifications for an intended service life and also to find the design service life of a reinforced concrete structure from actual cover depth and air-permeability, assessed in the as-built structure. The results of the proposed approach show a fair agreement with other performance-based design methodologies.
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