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Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks

Cracks in reinforced concrete structures can accelerate the local depassivation of reinforcement due to carbonation. Different approaches have been proposed to account for pre-existing cracks within engineering models to predict the carbonation depth. In this study, we provide a detailed comparative...

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Autores principales: Schultheiß, Annika Lidwina, Patel, Ravi Ajitbhai, Vogel, Michael, Dehn, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532492/
https://www.ncbi.nlm.nih.gov/pubmed/37763455
http://dx.doi.org/10.3390/ma16186177
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author Schultheiß, Annika Lidwina
Patel, Ravi Ajitbhai
Vogel, Michael
Dehn, Frank
author_facet Schultheiß, Annika Lidwina
Patel, Ravi Ajitbhai
Vogel, Michael
Dehn, Frank
author_sort Schultheiß, Annika Lidwina
collection PubMed
description Cracks in reinforced concrete structures can accelerate the local depassivation of reinforcement due to carbonation. Different approaches have been proposed to account for pre-existing cracks within engineering models to predict the carbonation depth. In this study, we provide a detailed comparative analysis of different extensions available for the fib carbonation model to account for cracks, viz., crack influence factor (CIF) approaches, a diffusion-based model and the crack depth adaption. The model extensions are first validated against a dataset of lab data collected from the literature and additional experiments performed as the part of this study. The CIF approaches achieved the highest accuracy for the carbonation depth prediction when compared against lab data. The diffusion-based model was inaccurate for low [Formula: see text] concentrations. The crack depth adaption provides overly conservative results. No model was found to be best performing, and large scatter was observed between predicted and experimental values. This emphasizes the need for more detailed multi-physics-based models to achieve accurate predictions. For further comparison, service life predictions were conducted for two structural scales, viz., the whole structure and the cracked area. It is concluded that the choice of model extension and the structural scale of analysis have a large influence on predicted probability of failure.
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spelling pubmed-105324922023-09-28 Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks Schultheiß, Annika Lidwina Patel, Ravi Ajitbhai Vogel, Michael Dehn, Frank Materials (Basel) Article Cracks in reinforced concrete structures can accelerate the local depassivation of reinforcement due to carbonation. Different approaches have been proposed to account for pre-existing cracks within engineering models to predict the carbonation depth. In this study, we provide a detailed comparative analysis of different extensions available for the fib carbonation model to account for cracks, viz., crack influence factor (CIF) approaches, a diffusion-based model and the crack depth adaption. The model extensions are first validated against a dataset of lab data collected from the literature and additional experiments performed as the part of this study. The CIF approaches achieved the highest accuracy for the carbonation depth prediction when compared against lab data. The diffusion-based model was inaccurate for low [Formula: see text] concentrations. The crack depth adaption provides overly conservative results. No model was found to be best performing, and large scatter was observed between predicted and experimental values. This emphasizes the need for more detailed multi-physics-based models to achieve accurate predictions. For further comparison, service life predictions were conducted for two structural scales, viz., the whole structure and the cracked area. It is concluded that the choice of model extension and the structural scale of analysis have a large influence on predicted probability of failure. MDPI 2023-09-12 /pmc/articles/PMC10532492/ /pubmed/37763455 http://dx.doi.org/10.3390/ma16186177 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schultheiß, Annika Lidwina
Patel, Ravi Ajitbhai
Vogel, Michael
Dehn, Frank
Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks
title Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks
title_full Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks
title_fullStr Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks
title_full_unstemmed Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks
title_short Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks
title_sort comparative analysis of engineering carbonation model extensions to account for pre-existing cracks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532492/
https://www.ncbi.nlm.nih.gov/pubmed/37763455
http://dx.doi.org/10.3390/ma16186177
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