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Metamodel-based importance sampling for structural reliability analysis · Study

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ArticleMetamodel-based importance sampling for structural reliability analysis

V. Dubourg2013

OA

Articlegreen2013

Metamodel-based importance sampling for structural reliability analysis

V. Dubourg · Bruno Sudret · François Deheeger

535 citations·0/0 files stored·Probabilistic Engineering Mechanics

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

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 535 citations exist upstream.

References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1989Design and Analysis of Computer Experiments 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 2003The Design and Analysis of Computer Experiments 1996Structural Reliability Methods 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

Cited by

2016LIF: A new Kriging based learning function and its application to structural reliability analysis 2015POLYNOMIAL-CHAOS-BASED KRIGING 2021Machine learning-based methods in structural reliability analysis: A review 2018An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis 2022Active learning for structural reliability: Survey, general framework and benchmark 2020Adaptive approaches in metamodel-based reliability analysis: A review 2016Rare Event Estimation Using Polynomial-Chaos Kriging 2014An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

Details

Year2013

Typearticle

Published2013-03-04

VenueProbabilistic Engineering Mechanics

ISSN-L0266-8920

Languageen

Citations535

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

Identifiers

doi10.1016/j.probengmech.2013.02.002

openalex_workW2962998905

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