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
Externally publishedYes

Fingerprint

Inspection
Deterioration
Monte Carlo simulation

Keywords

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

ASJC Scopus subject areas

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

Cite this

Reliability estimation for maintenance by sequential monte carlo simulation. / Yoshida, Ikumasa; Akiyama, Mitsuyoshi; Suzuki, Shuichi; Yamagami, Masato.

In: Doboku Gakkai Ronbunshuu A, Vol. 65, No. 3, 2009, p. 758-775.

Research output: Contribution to journalArticle

Yoshida, Ikumasa ; Akiyama, Mitsuyoshi ; Suzuki, Shuichi ; Yamagami, Masato. / Reliability estimation for maintenance by sequential monte carlo simulation. In: Doboku Gakkai Ronbunshuu A. 2009 ; Vol. 65, No. 3. pp. 758-775.
@article{ca797f0635bb47ad9c5f14a292da762a,
title = "Reliability estimation for maintenance by sequential monte carlo simulation",
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.",
keywords = "Deterioration, Failure probability, Monte carlo simulation, RC structure, Reliability, Updating",
author = "Ikumasa Yoshida and Mitsuyoshi Akiyama and Shuichi Suzuki and Masato Yamagami",
year = "2009",
doi = "10.2208/jsceja.65.758",
language = "English",
volume = "65",
pages = "758--775",
journal = "Doboku Gakkai Ronbunshuu A",
issn = "1880-6023",
publisher = "Japan Society of Civil Engineers",
number = "3",

}

TY - JOUR

T1 - Reliability estimation for maintenance by sequential monte carlo simulation

AU - Yoshida, Ikumasa

AU - Akiyama, Mitsuyoshi

AU - Suzuki, Shuichi

AU - Yamagami, Masato

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Deterioration

KW - Failure probability

KW - Monte carlo simulation

KW - RC structure

KW - Reliability

KW - Updating

UR - http://www.scopus.com/inward/record.url?scp=79954448807&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79954448807&partnerID=8YFLogxK

U2 - 10.2208/jsceja.65.758

DO - 10.2208/jsceja.65.758

M3 - Article

AN - SCOPUS:79954448807

VL - 65

SP - 758

EP - 775

JO - Doboku Gakkai Ronbunshuu A

JF - Doboku Gakkai Ronbunshuu A

SN - 1880-6023

IS - 3

ER -