Particle filter for model updating and reliability estimation of existing structures

Ikumasa Yoshida, Mitsuyoshi Akiyama

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    It is essential to update the model with reflecting observation or inspection data for reliability estimation of existing structures. Authors proposed updated reliability analysis by using Particle Filter. We discuss how to apply the proposed method through numerical examples on reinforced concrete structures after verification of the method with hypothetical linear Gaussian problem. Reinforced concrete structures in a marine environment deteriorate with time due to chloride-induced corrosion of reinforcing bars. In the case of existing structures, it is essential to monitor the current condition such as chloride-induced corrosion and to reflect it to rational maintenance with consideration of the uncertainty. In this context, updated reliability estimation of a structure provides useful information for the rational decision. Accuracy estimation is also one of the important issues when Monte Carlo approach such as Particle Filter is adopted. Especially Particle Filter approach has a problem known as degeneracy. Effective sample size is introduced to predict the covariance of variance of limit state exceeding probabilities calculated by Particle Filter. Its validity is shown by the numerical experiments.

    Original languageEnglish
    Pages (from-to)103-122
    Number of pages20
    JournalSmart Structures and Systems
    Volume11
    Issue number1
    Publication statusPublished - 2013 Jan

    Fingerprint

    Concrete construction
    Reinforced concrete
    Corrosion
    Reliability analysis
    Inspection
    Experiments
    Uncertainty

    Keywords

    • Bayesian
    • Conditional reliability
    • Failure probability
    • Particle Filter
    • Update

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Computer Science Applications

    Cite this

    Particle filter for model updating and reliability estimation of existing structures. / Yoshida, Ikumasa; Akiyama, Mitsuyoshi.

    In: Smart Structures and Systems, Vol. 11, No. 1, 01.2013, p. 103-122.

    Research output: Contribution to journalArticle

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