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Structural reliability sensitivity analysis based on classification of model output · Study

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ArticleStructural reliability sensitivity analysis based on classification of model output

Sinan Xiao2017

Article2017

Structural reliability sensitivity analysis based on classification of model output

Sinan Xiao · Zhenzhou Lü

75 citations·0/0 files stored·Aerospace Science and Technology

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Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Geotechnical Engineering and Analysis

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References

2007Global Sensitivity Analysis. The Primer 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 1991Factorial Sampling Plans for Preliminary Computational Experiments 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index 2007An effective screening design for sensitivity analysis of large models 1996Importance measures in global sensitivity analysis of nonlinear models 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models

Cited by

2019A coupled subset simulation and active learning kriging reliability analysis method for rare failure events 2018A reliability analysis method based on analytical expressions of the first four moments of the surrogate model of the performance function 2020Sensitivity Analysis in Probabilistic Structural Design: A Comparison of Selected Techniques 2019An efficient method combining adaptive Kriging and fuzzy simulation for estimating failure credibility

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Year2017

Typearticle

Published2017-09-14

VenueAerospace Science and Technology

ISSN-L1270-9638

Languageen

Citations75

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ast.2017.09.009

openalex_workW2755348198

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2018

An efficient method based on Bayes’ theorem to estimate the failure-probability-based sensitivity measure

2022On distribution-based global sensitivity analysis by polynomial chaos expansion

2021New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability

2022Reliability sensitivity analysis based on a two-stage Markov chain Monte Carlo simulation