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Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis
Chloride-induced corrosion is the main threat to the service life of concrete structures. In order to better investigate chloride distribution in offshore concrete, this study proposed a new prediction model based on statistical analysis as well as a large body of experimental results collected from...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982216/ https://www.ncbi.nlm.nih.gov/pubmed/31906365 http://dx.doi.org/10.3390/ma13010174 |
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author | Liu, Qing-feng Hu, Zhi Lu, Xian-yang Yang, Jian Azim, Iftikhar Sun, Wenzhuo |
author_facet | Liu, Qing-feng Hu, Zhi Lu, Xian-yang Yang, Jian Azim, Iftikhar Sun, Wenzhuo |
author_sort | Liu, Qing-feng |
collection | PubMed |
description | Chloride-induced corrosion is the main threat to the service life of concrete structures. In order to better investigate chloride distribution in offshore concrete, this study proposed a new prediction model based on statistical analysis as well as a large body of experimental results collected from various sources. A detailed discussion found that the key influential parameters, such as diffusion coefficient ([Formula: see text]), surface chloride concentration ([Formula: see text]) and penetration depth ([Formula: see text]) are all highly time-dependent. The exposure zone, water–cement ratio and service time were also considered as relevant factors. The proposed model is then validated by two alternative tests and the results suggest that it is feasible in predicting the chloride content and penetration depth of concrete structures in a marine environment under chloride attack. |
format | Online Article Text |
id | pubmed-6982216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69822162020-02-07 Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis Liu, Qing-feng Hu, Zhi Lu, Xian-yang Yang, Jian Azim, Iftikhar Sun, Wenzhuo Materials (Basel) Article Chloride-induced corrosion is the main threat to the service life of concrete structures. In order to better investigate chloride distribution in offshore concrete, this study proposed a new prediction model based on statistical analysis as well as a large body of experimental results collected from various sources. A detailed discussion found that the key influential parameters, such as diffusion coefficient ([Formula: see text]), surface chloride concentration ([Formula: see text]) and penetration depth ([Formula: see text]) are all highly time-dependent. The exposure zone, water–cement ratio and service time were also considered as relevant factors. The proposed model is then validated by two alternative tests and the results suggest that it is feasible in predicting the chloride content and penetration depth of concrete structures in a marine environment under chloride attack. MDPI 2020-01-01 /pmc/articles/PMC6982216/ /pubmed/31906365 http://dx.doi.org/10.3390/ma13010174 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Qing-feng Hu, Zhi Lu, Xian-yang Yang, Jian Azim, Iftikhar Sun, Wenzhuo Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis |
title | Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis |
title_full | Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis |
title_fullStr | Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis |
title_full_unstemmed | Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis |
title_short | Prediction of Chloride Distribution for Offshore Concrete Based on Statistical Analysis |
title_sort | prediction of chloride distribution for offshore concrete based on statistical analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982216/ https://www.ncbi.nlm.nih.gov/pubmed/31906365 http://dx.doi.org/10.3390/ma13010174 |
work_keys_str_mv | AT liuqingfeng predictionofchloridedistributionforoffshoreconcretebasedonstatisticalanalysis AT huzhi predictionofchloridedistributionforoffshoreconcretebasedonstatisticalanalysis AT luxianyang predictionofchloridedistributionforoffshoreconcretebasedonstatisticalanalysis AT yangjian predictionofchloridedistributionforoffshoreconcretebasedonstatisticalanalysis AT azimiftikhar predictionofchloridedistributionforoffshoreconcretebasedonstatisticalanalysis AT sunwenzhuo predictionofchloridedistributionforoffshoreconcretebasedonstatisticalanalysis |