Reliability estimation for maintenance by sequential monte carlo simulation

Ikumasa Yoshida*, Mitsuyoshi Akiyama, Shuichi Suzuki, Masato Yamagami

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Inspection or test data of specific site as well as latest knowledge of degrading mechanism should be considered in order to perform accurate reliability estimation of existing structures. This study discusses the methodology to estimate limit state probability updated by inspection or test data. The formulation with sequential Monte Carlo simulation (SMCS) is introduced for updating of model parameters and limit state probability. After demonstrating the solutions by SMCS agrees well with theoretical solutions in a linear Gaussian problem, numerical examples on updating of chloride deterioration parameter of a RC structure and three kind of limit state probability are shown.

Original languageEnglish
Pages (from-to)758-775
Number of pages18
JournalDoboku Gakkai Ronbunshuu A
Issue number3
Publication statusPublished - 2009
Externally publishedYes


  • Deterioration
  • Failure probability
  • Monte carlo simulation
  • RC structure
  • Reliability
  • Updating

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials
  • Mechanical Engineering


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