Reliability estimation for maintenance by sequential monte carlo simulation

Ikumasa Yoshida; Mitsuyoshi Akiyama; Shuichi Suzuki; Masato Yamagami

doi:10.2208/jsceja.65.758

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 journal › Article › peer-review

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 language	English
Pages (from-to)	758-775
Number of pages	18
Journal	Doboku Gakkai Ronbunshuu A
Volume	65
Issue number	3
DOIs	https://doi.org/10.2208/jsceja.65.758
Publication status	Published - 2009
Externally published	Yes

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

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10.2208/jsceja.65.758

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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.",

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author = "Ikumasa Yoshida and Mitsuyoshi Akiyama and Shuichi Suzuki and Masato Yamagami",

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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

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Reliability estimation for maintenance by sequential monte carlo simulation

Abstract

Keywords

ASJC Scopus subject areas

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