Reliability estimation of deteriorated RC-structures considering various observation data

Ikumasa Yoshida, Mitsuyoshi Akiyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A reliability estimation method is proposed to estimate the limit state exceeding probability of existing structures considering observation data by Sequential Monte Carlo Simulation (SMCS). Accuracy estimation is one of the important issues when MC approach is adopted. Specifically SMCS approach has a problem known as degeneracy. Effective sample size is introduced to estimate the accuracy of estimated limit state exceeding probabilities. Coefficient of variance of estimated probability is predicted based on the effective sample size ratio of the updated model. The proposed method is demonstrated through a numerical example of reliability analysis on deteriorating RC structures.

Original languageEnglish
Title of host publicationApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
Pages1231-1239
Number of pages9
Publication statusPublished - 2011 Dec 1
Externally publishedYes
Event11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
Duration: 2011 Aug 12011 Aug 4

Publication series

NameApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

Conference

Conference11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
CountrySwitzerland
CityZurich
Period11/8/111/8/4

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

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