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Model to Estimate Concrete Carbonation Depth and Service Life Prediction

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Hygrothermal Behaviour and Building Pathologies

Part of the book series: Building Pathology and Rehabilitation ((BUILDING,volume 14))

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.

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Acknowledgements

We should thank the National Council for Scientific and Technological Development (CNPq) and for the support and funding of the study. We thank the focus group experts for their valuable contribution to obtaining the database: Aguida G. Abreu, Antônio A. Nepomuceno, Claudio S. Kazmierkzak, Geraldo C. Isaia, Luiz CP da Silva Filho, Manuel Fernández Cánovas, Marlova P Kulakowski and Pedro Castro Borges. Thanks to Emerson Felipe Felix, Eduardo Rigo and Cassio by contributions in reviewing and text translation.

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Authors and Affiliations

  1. Federal University for Latin American Integration (UNILA), Foz do Iguaçu, Brazil

    E. Possan

  2. Pontifical Catholic University of Rio Grande Do Sul (PUC-RS), Porto Alegre, Brazil

    J. J. O. Andrade

  3. Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil

    D. C. C. Dal Molin & José Luis Duarte Ribeiro

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  1. E. Possan
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  2. J. J. O. Andrade
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  3. D. C. C. Dal Molin
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  4. José Luis Duarte Ribeiro
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Correspondence to E. Possan .

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Editors and Affiliations

  1. CONSTRUCT-LFC, Department of Civil Engineering, University of Porto, Porto, Portugal

    J.M.P.Q. Delgado

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Possan, E., Andrade, J.J.O., Dal Molin, D.C.C., Ribeiro, J.L.D. (2021). Model to Estimate Concrete Carbonation Depth and Service Life Prediction. In: Delgado, J. (eds) Hygrothermal Behaviour and Building Pathologies. Building Pathology and Rehabilitation, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-030-50998-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-50998-9_4

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