Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges
Over the last decade, there has been an increasing interest in models for the evaluation and prediction of the condition of bridges in Canada due to their large number in an advanced state of deterioration. The models are used to develop optimal maintenance and replacement strategies to extend servi...
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2018-03-01
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doaj-11f20b84bb30480c842b4cc40a8486d12020-11-24T22:07:22ZengFrontiers Media S.A.Frontiers in Built Environment2297-33622018-03-01410.3389/fbuil.2018.00012325918Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete BridgesYan Zhang0Luc E. Chouinard1David Conciatori2Department of Civil Engineering and Applied Mechanics, McGill University, Montreal, QC, CanadaDepartment of Civil Engineering and Applied Mechanics, McGill University, Montreal, QC, CanadaDépartement de Génie Civil et de L’environnement, Université Laval, Québec City, QC, CanadaOver the last decade, there has been an increasing interest in models for the evaluation and prediction of the condition of bridges in Canada due to their large number in an advanced state of deterioration. The models are used to develop optimal maintenance and replacement strategies to extend service life and optimally allocate financial and technical resources. The main process of deterioration of concrete bridges in Canada is corrosion of the reinforcing steel due to the widespread use of de-icing salts. In this article, numerical models of the diffusion process and chemical reactions of chloride ions in concrete are used to estimate the time to initiation of corrosion and for the progression of corrosion. The analyses are performed for a range of typical concrete properties, exposure and climatic conditions. The results from these simulations are used to develop parametric surrogate Markov chain models of increasing states of deterioration. The surrogate models are more efficient than physical models for the portfolio analysis of a large number of structures. The procedure provides an alternative to Markov models derived from condition ratings when historical inspection data is limited.http://journal.frontiersin.org/article/10.3389/fbuil.2018.00012/fullconcrete bridgesdeteriorationMarkov chaintransition probabilitieschloride ions content |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yan Zhang Luc E. Chouinard David Conciatori |
spellingShingle |
Yan Zhang Luc E. Chouinard David Conciatori Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges Frontiers in Built Environment concrete bridges deterioration Markov chain transition probabilities chloride ions content |
author_facet |
Yan Zhang Luc E. Chouinard David Conciatori |
author_sort |
Yan Zhang |
title |
Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges |
title_short |
Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges |
title_full |
Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges |
title_fullStr |
Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges |
title_full_unstemmed |
Markov Chain-Based Stochastic Modeling of Chloride Ion Transport in Concrete Bridges |
title_sort |
markov chain-based stochastic modeling of chloride ion transport in concrete bridges |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Built Environment |
issn |
2297-3362 |
publishDate |
2018-03-01 |
description |
Over the last decade, there has been an increasing interest in models for the evaluation and prediction of the condition of bridges in Canada due to their large number in an advanced state of deterioration. The models are used to develop optimal maintenance and replacement strategies to extend service life and optimally allocate financial and technical resources. The main process of deterioration of concrete bridges in Canada is corrosion of the reinforcing steel due to the widespread use of de-icing salts. In this article, numerical models of the diffusion process and chemical reactions of chloride ions in concrete are used to estimate the time to initiation of corrosion and for the progression of corrosion. The analyses are performed for a range of typical concrete properties, exposure and climatic conditions. The results from these simulations are used to develop parametric surrogate Markov chain models of increasing states of deterioration. The surrogate models are more efficient than physical models for the portfolio analysis of a large number of structures. The procedure provides an alternative to Markov models derived from condition ratings when historical inspection data is limited. |
topic |
concrete bridges deterioration Markov chain transition probabilities chloride ions content |
url |
http://journal.frontiersin.org/article/10.3389/fbuil.2018.00012/full |
work_keys_str_mv |
AT yanzhang markovchainbasedstochasticmodelingofchlorideiontransportinconcretebridges AT lucechouinard markovchainbasedstochasticmodelingofchlorideiontransportinconcretebridges AT davidconciatori markovchainbasedstochasticmodelingofchlorideiontransportinconcretebridges |
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1725820833707851776 |