Title of article
Adapted design of experiments for dimension decomposition-based meta-model in structural reliability analysis
Author/Authors
Rakhshani Mehr, M Department of Civil Engineering - Alzahra University, Tehran , Mirkamali, H Department of Civil Engineering - Shiraz University of Technology, Shiraz , Rashki, M Department of Civil Engineering - University of Sistan and Baluchestan, Zahedan , Bahrpeyma, A Department of Civil Engineering - University of Sistan and Baluchestan, Zahedan
Pages
12
From page
3060
To page
3071
Abstract
Reliability analysis of structures is often problematic for the structures with
nonlinear and complex Limit State Functions (LSFs). For these cases, simulation methods
often provide accurate failure probability, but with a high number of LSFs in the analysis
of the structure. This paper presents an effcient combined meta-model of Monte Carlo
Simulation (MCS) and Univariate Dimension Reduction (UDR) to approximate the failure
probability of structures with evaluation of few LSFs. For this purpose, the design of the
experiment applied in the meta-model was adapted such that the expected failure samples
in MCS were approximated with higher accuracy. Several numerical and engineering
reliability problems were solved by the proposed approach and the results were verified
by MCS. Results showed that the proposed approach highly reduced the required number
of structural analyses to provide proper results.
Keywords
Structural reliability , Simulation methods , Univariate dimension reduction , Design of experiment , Monte Carlo simulation
Journal title
Scientia Iranica(Transactions A: Civil Engineering)
Serial Year
2019
Record number
2525006
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