Reliability estimation of deteriorated RC-structures considering various observation data

Ikumasa Yoshida, Mitsuyoshi Akiyama

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
ページ1231-1239
ページ数9
出版ステータスPublished - 2011 12 1
外部発表はい
イベント11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
継続期間: 2011 8 12011 8 4

出版物シリーズ

名前Applications 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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