Damage initiation and propagation model for bridge members

Yohei Ninomiya, Daijiro Mizutani, Kiyoyuki Kaito

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

Abstract

In this paper, in order to statistically analysis damage to bridge members and to forecast the initiation and the propagation of damage, a statistical damage initiation and propagation model is proposed. Specifically, the model is a composite model that the initiation process of damage and the propagation process of damage are expressed by different two types of model. When composing such a composite model, it is necessary that the time point of the transition from the initiation process to the propagation process. The time point is certain that the time point of the damage occurrence, however, the damage occurrence is not observed in general inspection works. Therefore, it is also proposed that the estimation method of the time point of damage occurrence, using the temporal discontinuity inspection data to bridges. Lastly, in order to confirm the validity of this study, an empirical analysis is carried out by applying actual inspection data.

Original languageEnglish
Title of host publicationIABSE Congress Stockholm, 2016
Subtitle of host publicationChallenges in Design and Construction of an Innovative and Sustainable Built Environment
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
Pages1780-1787
Number of pages8
ISBN (Electronic)9783857481444
Publication statusPublished - 2016
Externally publishedYes
Event19th IABSE Congress Stockholm 2016: Challenges in Design and Construction of an Innovative and Sustainable Built Environment - Stockholm, Sweden
Duration: 2016 Sep 212016 Sep 23

Publication series

NameIABSE Congress Stockholm, 2016: Challenges in Design and Construction of an Innovative and Sustainable Built Environment

Other

Other19th IABSE Congress Stockholm 2016: Challenges in Design and Construction of an Innovative and Sustainable Built Environment
CountrySweden
CityStockholm
Period16/9/2116/9/23

Keywords

  • Asset management
  • Bayesian estimation
  • Big data analytics
  • Deterioration model
  • Hazard model
  • Markov chain Monte Carlo method
  • Metropolis-Hastings algorithm
  • Risk assessment
  • Statistical model
  • Steel bridges

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering

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