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Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata

Steel bar corrosion caused by chloride is the major reason for concrete structure durability failures in a corrosive environment. An accurate simulation of chloride ion diffusion in concrete is hence critical to durability design, maintenance, and reinforcement of concretes in erosive environments....

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Autores principales: Ma, Junjun, Lin, Pengzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267173/
https://www.ncbi.nlm.nih.gov/pubmed/35806508
http://dx.doi.org/10.3390/ma15134384
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author Ma, Junjun
Lin, Pengzhen
author_facet Ma, Junjun
Lin, Pengzhen
author_sort Ma, Junjun
collection PubMed
description Steel bar corrosion caused by chloride is the major reason for concrete structure durability failures in a corrosive environment. An accurate simulation of chloride ion diffusion in concrete is hence critical to durability design, maintenance, and reinforcement of concretes in erosive environments. To accurately simulate actual chloride ion diffusion in concretes, an improved three-dimensional neighborhood type is proposed according to the mechanism of chloride ion diffusion in concrete, and a three-dimensional cellular automaton model (3D CA model) for describing the diffusion process of chloride in concrete is established based on this neighborhood type. The accuracy and correctness of simulation results obtained from the 3D CA model were verified by comparison with Fick’s second law analytical solutions. Based on the 3D CA model, an improved modified 3D CA model is developed (3D RTCA model) which takes into account random chloride ion distribution in concrete, the time dependence of the coefficient of chloride ion diffusion, and the structure stress level effect on chloride ion diffusion. Numerical simulation results reveal that the 3D RTCA model has higher calculation accuracy in predicting long-term concentration of chloride in concretes, and the simulation results are closer to experimental findings than analytical results obtained based on Fick’s second law. Compared with Fick’s second law analytical solutions, the 3D RTCA model can reflect more truly the cross-sectional stress level effect on chloride ion diffusion through simple local evolution rules. Besides, the 3D RTCA model can genuinely describe the randomness and uncertainty of the chloride diffusion process. The 3D RTCA model developed in the current study provides a novel perspective and method to investigate chloride ion diffusion in concrete from structural level.
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spelling pubmed-92671732022-07-09 Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata Ma, Junjun Lin, Pengzhen Materials (Basel) Article Steel bar corrosion caused by chloride is the major reason for concrete structure durability failures in a corrosive environment. An accurate simulation of chloride ion diffusion in concrete is hence critical to durability design, maintenance, and reinforcement of concretes in erosive environments. To accurately simulate actual chloride ion diffusion in concretes, an improved three-dimensional neighborhood type is proposed according to the mechanism of chloride ion diffusion in concrete, and a three-dimensional cellular automaton model (3D CA model) for describing the diffusion process of chloride in concrete is established based on this neighborhood type. The accuracy and correctness of simulation results obtained from the 3D CA model were verified by comparison with Fick’s second law analytical solutions. Based on the 3D CA model, an improved modified 3D CA model is developed (3D RTCA model) which takes into account random chloride ion distribution in concrete, the time dependence of the coefficient of chloride ion diffusion, and the structure stress level effect on chloride ion diffusion. Numerical simulation results reveal that the 3D RTCA model has higher calculation accuracy in predicting long-term concentration of chloride in concretes, and the simulation results are closer to experimental findings than analytical results obtained based on Fick’s second law. Compared with Fick’s second law analytical solutions, the 3D RTCA model can reflect more truly the cross-sectional stress level effect on chloride ion diffusion through simple local evolution rules. Besides, the 3D RTCA model can genuinely describe the randomness and uncertainty of the chloride diffusion process. The 3D RTCA model developed in the current study provides a novel perspective and method to investigate chloride ion diffusion in concrete from structural level. MDPI 2022-06-21 /pmc/articles/PMC9267173/ /pubmed/35806508 http://dx.doi.org/10.3390/ma15134384 Text en © 2022 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
Ma, Junjun
Lin, Pengzhen
Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata
title Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata
title_full Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata
title_fullStr Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata
title_full_unstemmed Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata
title_short Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata
title_sort simulation approach for random diffusion of chloride in concrete under sustained load with cellular automata
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267173/
https://www.ncbi.nlm.nih.gov/pubmed/35806508
http://dx.doi.org/10.3390/ma15134384
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