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• W3040789969 abstract "This chapter proposes a mathematical model for estimating the concrete carbonation depth and predicting the service life of concrete structures subject to CO2 action, with easily obtainable input data. The input variables are divided into three groups: concrete properties (concrete compressive strength at 28 days, type of cement used, content and type mineral admixture); exposure conditions (a structure is indoors or outdoors, protected or not from rain) and environmental conditions (relative humidity and CO2 content). The model was obtained by coupling the concrete conduct equations reported in the literature, especially the first Fick’s Law. To adjust the model’s coefficients and parameters, 1298 data obtained through experts’ knowledge were used. The model determination coefficient was 0.9860, and the root-mean-square error (RMSE) was 0.3 mm. The model was validated using 298 data of the natural carbonation available in the literature, representing 87% of tested data. The results indicate that the model has the potential to predict the concrete carbonation depth for the boundary conditions that guided its development. It also presents itself as a potential tool for determining the concrete carbonation depth and service life prediction of new or existing structures." @default.
• W3040789969 created "2020-07-16" @default.
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• W3040789969 date "2020-07-14" @default.
• W3040789969 modified "2023-10-16" @default.
• W3040789969 title "Model to Estimate Concrete Carbonation Depth and Service Life Prediction" @default.
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• W3040789969 doi "https://doi.org/10.1007/978-3-030-50998-9_4" @default.
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