Hierarchical Bayesian estimation of mixed hazard models

Daijiro Mizutani, Kodai Matsuoka, Kiyoyuki Kaito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAssessment, Upgrading and Refurbishment of Infrastructures
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
ISBN (Electronic)9783857481239
DOIs
Publication statusPublished - 2013
EventIABSE Workshop on Assessment, Upgrading and Refurbishment of Infrastructures - Rotterdam, Netherlands
Duration: 2013 May 62013 May 8

Publication series

NameAssessment, Upgrading and Refurbishment of Infrastructures

Conference

ConferenceIABSE Workshop on Assessment, Upgrading and Refurbishment of Infrastructures
CountryNetherlands
CityRotterdam
Period13/5/613/5/8

Keywords

  • Heterogeneity
  • Hierarchical Bayesian estimation
  • Mixed Markov hazard model

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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