0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Hierarchical Bayesian Estimation of Mixed Hazard Models

 Hierarchical Bayesian Estimation of Mixed Hazard Models
Autor(en): , ,
Beitrag für IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013, veröffentlicht in , S. 230-231
DOI: 10.2749/222137813806481428
Preis: € 25,00 inkl. MwSt. als PDF-Dokument  
ZUM EINKAUFSWAGEN HINZUFÜGEN
Vorschau herunterladen (PDF-Datei) 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...
Weiterlesen

Bibliografische Angaben

Autor(en):


Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013
Veröffentlicht in:
Seite(n): 230-231 Anzahl der Seiten (im PDF): 8
Seite(n): 230-231
Anzahl der Seiten (im PDF): 8
Jahr: 2013
DOI: 10.2749/222137813806481428
Abstrakt:

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.