Adapted design of experiments for dimension decomposition-based meta-model in structural reliability analysis

Document Type : Article

Authors

1 Department of Civil Engineering, Alzahra University, Tehran, P.O. Box 1993893973, Iran

2 Department of Civil Engineering, Shiraz University of Technology, Shiraz, Iran

3 Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Iran

Abstract

Reliability analysis of structures is often problematic for the structures with nonlinear and complex limit state functions (LSF). For these cases, simulation methods often provide accurate failure probability, but with high number of structure’s LSF analysis. This paper presents an efficient combination of Monte Carlo Simulation (MCS) method and Univariate Dimension Reduction (UDR) based Meta-model to approximate the failure probability of structures with few LSFs evaluation. For this purpose, the design of experiment used in the Meta model is adapted such that the expected failure samples in MCS being approximated with higher accuracy. Several numerical and engineering reliability problems are solved by the proposed approach and the results are verified by MCS. Results show that the proposed approach highly reduces the required number of structural analysis to provide proper results.

Keywords

Main Subjects

References

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Scientia Iranica
Volume 26, Issue 6 - Serial Number 6
Transactions on Civil Engineering (A)
November and December 2019
Pages 3060-3071

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History

  • Receive Date: 10 May 2016
  • Revise Date: 07 October 2017
  • Accept Date: 05 March 2018

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