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Reliability analysis with stratified importance sampling based on adaptive Kriging · Study

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ArticleReliability analysis with stratified importance sampling based on adaptive Kriging

Sinan Xiao2020

Article2020

Reliability analysis with stratified importance sampling based on adaptive Kriging

Sinan Xiao · Sergey Oladyshkin · Wolfgang Nowak

127 citations·0/0 files stored·Reliability Engineering & System Safety

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

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References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 2017Structural Reliability Analysis and Prediction 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 2007Simulation and the Monte Carlo Method 2001Estimation of small failure probabilities in high dimensions by subset simulation 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions 1989Designs for Computer Experiments

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2024Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy 2020Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures 2022An expected integrated error reduction function for accelerating Bayesian active learning of failure probability 2022Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification

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Details

Year2020

Typearticle

Published2020-01-22

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations127

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2020.106852

openalex_workW3000877573

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