0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

Hierarchical Bayesian Estimation of Mixed Hazard Models

 Hierarchical Bayesian Estimation of Mixed Hazard Models
Auteur(s): , ,
Présenté pendant IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013, publié dans , pp. 230-231
DOI: 10.2749/222137813806481428
Prix: € 25,00 incl. TVA pour document PDF  
AJOUTER AU PANIER
Télécharger l'aperçu (fichier PDF) 1.48 MB

A variety of uncertainties affect the deterioration process of infrastructure. Deterioration rate is varying significantly according to the difference in the structural characteristics, use, and en...
Lire plus

Détails bibliographiques

Auteur(s):


Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013
Publié dans:
Page(s): 230-231 Nombre total de pages (du PDF): 8
Page(s): 230-231
Nombre total de pages (du PDF): 8
Année: 2013
DOI: 10.2749/222137813806481428
Abstrait:

A variety of uncertainties affect the deterioration process of infrastructure. Deterioration rate is varying significantly according to the difference in the structural characteristics, use, and environmental conditions of infrastructures. The heterogeneity of structures causes the problem of overdispersion of the deterioration rate. In order to overcome the problem of overdispersion, the mixed Markov deterioration hazard model has been proposed considering the heterogeneity of deterioration rate among groups of infrastructures. In this study, it is assumed that the overdispersion depends on the heterogeneity of the deterioration rate among groups of infrastructures. Then, the mixed Markov deterioration hazard model that takes into account hierarchical heterogeneity is formulated, and a hierarchical Bayesian estimation method is proposed. The appropriateness of the proposed method is discussed through the empirical analysis of the visual inspection data of bridge slabs.