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Article Dans Une Revue Infrastructures Année : 2023

Stochastic Multiphasic Multivariate State-Based Degradation and Maintenance Meta-Models for RC Structures Subject to Chloride Ingress

Résumé

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.
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Origine : Publication financée par une institution

Dates et versions

hal-03994620 , version 1 (17-02-2023)

Identifiants

Citer

Boutros El 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, 2023, 8 (36), pp.8020036. ⟨10.3390/infrastructures8020036⟩. ⟨hal-03994620⟩
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