Reliability estimation for maintenance by sequential monte carlo simulation

Ikumasa Yoshida, Mitsuyoshi Akiyama, Shuichi Suzuki, Masato Yamagami

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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
Volume65
Issue number3
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes

Keywords

  • 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

Fingerprint Dive into the research topics of 'Reliability estimation for maintenance by sequential monte carlo simulation'. Together they form a unique fingerprint.

  • Cite this