Service life prediction for concrete structures based on carbonation front depth models

  • Rayara Pinto Costa Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil. https://orcid.org/0000-0003-3077-3314
  • Alessandro Simas Franchetto Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil. https://orcid.org/0000-0003-3218-0803
  • Ana Júlia Smolinski Gouveia Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil. https://orcid.org/0000-0003-4268-7827
  • Fabiana Ziegler Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil. https://orcid.org/0000-0002-9588-7016
  • Kennedy Queiros Pessoa Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil. https://orcid.org/0000-0001-6328-2867
  • Mônica Regina Garcez Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
DOI: https://doi.org/10.21041/ra.v12i1.558
Keywords: carbonatation, service life prediction, carbonatation depth, concrete durability

Abstract

This paper seeks to evaluate the variability in predicting the service life of concrete structures through four models that estimate the natural advance of the carbonation front. The results show that there is variability in the estimated carbonation front. The models by Possan (2010) and Ekolu (2018) show estimated values close to measured ones, while Ho and Lewis (1987) and Bob and Affana (1993) tend to underestimate and overestimate the natural carbonation front, respectively. Only concretes without added supplementary cementitious materials were considered, due to model limitations. Compressive strength, CO2 concentration and relative humidity have significant influence on the results and the variability depends on which parameters are considered in the models.

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Author Biographies

Alessandro Simas Franchetto, Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.

Master's student in the Risk Management area of the Postgraduate Program in Civil Engineering: Construction and Infrastructure (PPGCI) at the Federal University of Rio Grande do Sul (UFRGS). She studied Civil Engineering at UFRGS. Experiences with design studies of reinforced concrete structures. Interest in structures, fire safety and BIM.

Ana Júlia Smolinski Gouveia, Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.

Degree in Civil Engineering from the Federal University of Rio Grande do Sul (2019). She is currently a special master's student in Civil Engineering at the Federal University of Rio Grande do Sul (UFRGS), with a focus on Performance and Construction Pathology. She is interested in the areas of Fire Safety, Building Performance and Environmental Sustainability in Civil Construction.

Fabiana Ziegler, Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.

Civil Engineer from the Integrated Regional University of Alto Uruguai e das Missões (URI - Santo Ângelo). Master in Civil Engineering from the Postgraduate Program in Civil Engineering: Construction and Infrastructure (PPGCI), at the Federal University of Rio Grande do Sul (UFRGS), with work focused on the evaluation of crack self-healing in concrete with crystallizing additives. She is part of the research group that studies the Self-healing of cracks in cementitious materials (UFRGS / NORIE / LAMTAC), and has a PhD in progress at PPGCI / UFRGS.

Kennedy Queiros Pessoa, Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.

Master's student in Civil Engineering: Construction and Infrastructure, concentration area: Construction, from the Federal University of Rio Grande do Sul. Civil Engineer from the Federal University of Acre.

Mônica Regina Garcez, Núcleo orientado para a inovação da construção (NORIE), Escola de Engenharia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.

Graduated in Civil Engineering at UFSM (1999), Master in Civil Engineering and Environmental Preservation at UFSM (2002) and Doctorate in Civil Engineering at UFRGS (2007), with a sandwich period at Swiss Federal Laboratories for Material Testing and Research (EMPA-Dubendorf ). She is currently Associate Professor at the Interdisciplinary Department at UFRGS and permanent professor at the Postgraduate Program in Civil Engineering: Construction and Infrastructure (PPGCI / UFRGS).

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Published
2022-01-01
How to Cite
Issue
Vol. 12 No. 1 (2022): Volume 12, Issue 1 (2022)
Section
Basic Research

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