A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Model to Estimate Concrete Carbonation Depth and Service Life Prediction
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.
Model to Estimate Concrete Carbonation Depth and Service Life Prediction
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.
Model to Estimate Concrete Carbonation Depth and Service Life Prediction
Building Pathology
Delgado, J.M.P.Q. (editor) / Possan, E. (author) / Andrade, J. J. O. (author) / Dal Molin, D. C. C. (author) / Ribeiro, José Luis Duarte (author)
2020-07-14
31 pages
Article/Chapter (Book)
Electronic Resource
English
A Service Life Prediction for Waste Disposal Concrete under Carbonation
| Trans Tech Publications | 2012
Uncertainty in service life prediction based on carbonation of concrete
| British Library Conference Proceedings | 1996
Service life prediction of a concrete bridge structure subjected to carbonation
| Online Contents | 2010