Bayesian updating for optimization of inspection schedules of chloride ingress into concrete - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Bayesian updating for optimization of inspection schedules of chloride ingress into concrete

Résumé

Chloride ingress into concrete is one of the major causes leading to the degradation of reinforced concrete structures. Its modelling is an important task to plan and quantify maintenance operations of structures. Relevant material and environmental parameters for modelling could be determined from inspection data that is very limited due to time-consuming and expensive tests. The main objective of this paper is to develop a method based on Bayesian updating for selecting appropriate inspection configuration that can provide an optimal balance between accuracy and cost. The results indicate that Bayesian approach could be a useful tool to identify model parameters even from insufficient inspection data.
Fichier principal
Vignette du fichier
Uncertainties2014EBA2.pdf (1.63 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01100565 , version 1 (09-01-2015)

Identifiants

  • HAL Id : hal-01100565 , version 1

Citer

Tran Thanh-Binh, Emilio Bastidas-Arteaga, Franck Schoefs, Stéphanie Bonnet. Bayesian updating for optimization of inspection schedules of chloride ingress into concrete. Proceedings of the 2nd International Symposium on Uncertainty Quantification and Stochastic Modeling, Jun 2014, Rouen, France. ⟨hal-01100565⟩
242 Consultations
147 Téléchargements

Partager

Gmail Facebook X LinkedIn More