Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress
The objective of this paper is to propose tools for the lifecycle management of infrastructure by showing the slow degradation processes for which inspection data are accessible, especially the data obtained from non-destructive testing (NDT) and structural health monitoring (SHM). One major charact...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/8/2/36 |
| _version_ | 1797620322112897024 |
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| author | Boutros El Hajj Bruno Castanier Franck Schoefs Emilio Bastidas-Arteaga |
| author_facet | Boutros El Hajj Bruno Castanier Franck Schoefs Emilio Bastidas-Arteaga |
| author_sort | Boutros El Hajj |
| collection | DOAJ |
| description | The objective of this paper is to propose tools for the lifecycle management of infrastructure by showing the slow degradation processes for which inspection data are accessible, especially the data obtained from non-destructive testing (NDT) and structural health monitoring (SHM). One major characteristic of these degradation processes is their multiphasic nature; consequently, they can be discretised into different phases with specific physical kinematics where specific maintenance actions and measurement techniques can be performed. Within this framework, we propose implementing a degradation meta-modelling approach fed with measurements (NDT, SHM). This approach is based on state-dependent stochastic processes for modelling the degradation and maintenance of reinforced concrete structures that are subjected to chloride-induced deterioration. The benefit of using multiphasic degradation meta-models in the lifecycle management of infrastructure is illustrated through numerical examples that include single and multi-action management policies. |
| first_indexed | 2024-03-11T08:39:30Z |
| format | Article |
| id | doaj.art-4025f4cc2387465ba76d9e078c78be85 |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-11T08:39:30Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-4025f4cc2387465ba76d9e078c78be852023-11-16T21:13:09ZengMDPI AGInfrastructures2412-38112023-02-01823610.3390/infrastructures8020036Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride IngressBoutros El Hajj0Bruno Castanier1Franck Schoefs2Emilio Bastidas-Arteaga3Ecole Centrale Nantes, CNRS, GeM, UMR 6183, IUML FR 3473, Nantes Université, F-44300 Nantes, FranceLARIS EA 7315, Angers University, 49100 Angers, FranceEcole Centrale Nantes, CNRS, GeM, UMR 6183, IUML FR 3473, Nantes Université, F-44300 Nantes, FranceLaboratory of Engineering Sciences for the Environment (LaSIE—UMR CNRS 7356), La Rochelle University, 17000 La Rochelle, FranceThe objective of this paper is to propose tools for the lifecycle management of infrastructure by showing the slow degradation processes for which inspection data are accessible, especially the data obtained from non-destructive testing (NDT) and structural health monitoring (SHM). One major characteristic of these degradation processes is their multiphasic nature; consequently, they can be discretised into different phases with specific physical kinematics where specific maintenance actions and measurement techniques can be performed. Within this framework, we propose implementing a degradation meta-modelling approach fed with measurements (NDT, SHM). This approach is based on state-dependent stochastic processes for modelling the degradation and maintenance of reinforced concrete structures that are subjected to chloride-induced deterioration. The benefit of using multiphasic degradation meta-models in the lifecycle management of infrastructure is illustrated through numerical examples that include single and multi-action management policies.https://www.mdpi.com/2412-3811/8/2/36gamma processdegradation meta-modelschloride-induced corrosionreinforced concretestructural health monitoringdecision-making |
| spellingShingle | Boutros El Hajj Bruno Castanier Franck Schoefs Emilio Bastidas-Arteaga Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress Infrastructures gamma process degradation meta-models chloride-induced corrosion reinforced concrete structural health monitoring decision-making |
| title | Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress |
| title_full | Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress |
| title_fullStr | Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress |
| title_full_unstemmed | Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress |
| title_short | Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress |
| title_sort | stochastic multiphasic multivariate state based degradation and maintenance meta models for rc structures subject to chloride ingress |
| topic | gamma process degradation meta-models chloride-induced corrosion reinforced concrete structural health monitoring decision-making |
| url | https://www.mdpi.com/2412-3811/8/2/36 |
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