Life-cycle reliability of RC jetties in a marine environment using markov model and sequential monte carlo simulation

K. Takenaka, M. Akiyama, D. M. Frangopol, I. Yoshida

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

Abstract

Reinforced concrete (RC) structures in a marine environment deteriorate with time due to chloride- induced corrosion of reinforcing bars. In this paper, a methodology for quantifying life-cycle reliability of RC jetties subjected to chloride attack is presented. The deterioration process of a RC jetty regarding the transition between the condition states is modeled as a Markov process. In addition, a procedure to obtain the transition probability matrix at time t after construction updated by the Sequential Monte Carlo Simulation (SMCS) method is indicated. Transition probability matrix could be updated in order to be consistent with the observational information. The methodology is illustrated on the superstructures of RC jetties located in a splash zone. The effect of the updating on the life-cycle reliability estimate of RC jetties is also discussed.

Original languageEnglish
Title of host publicationBridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014
PublisherTaylor and Francis - Balkema
Pages231-236
Number of pages6
ISBN (Print)9781138001039
Publication statusPublished - 2014 Jan 1
Event7th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2014 - Shanghai, China
Duration: 2014 Jul 72014 Jul 11

Publication series

NameBridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014

Conference

Conference7th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2014
Country/TerritoryChina
CityShanghai
Period14/7/714/7/11

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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