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Meta-model-based importance sampling for reliability sensitivity analysis
16 references·16 citing·37 second hopsampled
Meta-model-based importance sampling for reliability sensitivity analysis (2014)Meta-model-based importance sampling for …Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…Reliability-based design optimization using kriging surrogates and subset simulation (2011)Reliability-based design opti…A survey on approaches for reliability-based optimization (2010)A survey on approaches for re…An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)An adaptive algorithm to buil…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Simulation and the Monte Carlo Method (2007)Simulation and the Monte Carl…Stochastic finite element: a non intrusive approach by regression (2006)Stochastic finite element: a …Reliability-based design sensitivity by efficient simulation (2005)Reliability-based design sens…Reliability of structures in high dimensions, part I: algorithms and applications (2004)Reliability of structures in …The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…An Introduction to Copulas (1999)An Introduction to CopulasComputational methods for efficient structural reliability and reliability sensitivity analysis (1994)Computational methods for eff…A fast and efficient response surface approach for structural reliability problems (1990)A fast and efficient response…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Probability Integration by Directional Simulation (1988)Probability Integration by Di…Variance-based reliability sensitivity analysis and the FORM α -factors (2021)Variance-based reliability se…Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis (2020)Probability-Adaptive Kriging …AK-MSS: An adaptation of the AK-MCS method for small failure probabilities (2020)AK-MSS: An adaptation of the …Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods (2019)Structural reliability and re…Improved cross entropy-based importance sampling with a flexible mixture model (2019)Improved cross entropy-based …Global sensitivity analysis of reliability of structural bridge system (2019)Global sensitivity analysis o…An active weight learning method for efficient reliability assessment with small failure probability (2019)An active weight learning met…Stochastic Harmonic Function Representation of Random Fields for Material Properties of Structures (2018)Stochastic Harmonic Function …Reliability sensitivity estimation with sequential importance sampling (2018)Reliability sensitivity estim…Efficient reliability analysis based on adaptive sequential sampling design and cross-validation (2018)Efficient reliability analysi…Active Learning Kriging Model Combining With Kernel-Density-Estimation-Based Importance Sampling Method for the Estimation of Low Failure Probability (2018)Active Learning Kriging Model…Two accuracy measures of the Kriging model for structural reliability analysis (2017)Two accuracy measures of the …Sensitivity estimation of failure probability applying line sampling (2017)Sensitivity estimation of fai…Performance of global metamodeling techniques in solution of structural reliability problems (2017)Performance of global metamod…Complete monotonic expression of the fourth-moment normal transformation for structural reliability (2017)Complete monotonic expression…Reliability analysis with Metamodel Line Sampling (2016)Reliability analysis with Met…Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology (1996)Moment methods for structural reliability (2001)Application of kriging method to structural reliability problems (2004)Structural Reliability Methods (1996)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Structural reliability under combined random load sequences (1978)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Statistics for Spatial Data (1993)Aleatory or epistemic? Does it matter? (2008)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Machine learning-based methods in structural reliability analysis: A review (2021)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Quantitative Risk Management: Concepts, Techniques, and Tools (2005)MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE* (2006)Introductory Econometrics for Finance (2008)Econometric Tools for Analyzing Market Outcomes (2007)Everything you need to know about agent-based modelling and simulation (2016)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
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References

  • 1999An Introduction to Copulas7,743 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Simulation and the Monte Carlo Method2,454 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2006Stochastic finite element: a non intrusive approach by regression427 cited
  • 2010A survey on approaches for reliability-based optimization401 cited
  • 1994Computational methods for efficient structural reliability and reliability sensitivity analysis388 cited
  • 2004Reliability of structures in high dimensions, part I: algorithms and applications370 cited
  • 1988

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Probability Integration by Directional Simulation
339 cited
  • 2005Reliability-based design sensitivity by efficient simulation330 cited
  • Cited by

    • 2019Improved cross entropy-based importance sampling with a flexible mixture model119 cited
    • 2018Efficient reliability analysis based on adaptive sequential sampling design and cross-validation112 cited
    • 2018Reliability sensitivity estimation with sequential importance sampling112 cited
    • 2019An active weight learning method for efficient reliability assessment with small failure probability105 cited
    • 2017Two accuracy measures of the Kriging model for structural reliability analysis103 cited
    • 2016Reliability analysis with Metamodel Line Sampling103 cited
    • 2020Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis89 cited
    • 2019Global sensitivity analysis of reliability of structural bridge system85 cited
    • 2020AK-MSS: An adaptation of the AK-MCS method for small failure probabilities78 cited
    • 2017Sensitivity estimation of failure probability applying line sampling75 cited
    • 2017Complete monotonic expression of the fourth-moment normal transformation for structural reliability71 cited
    • 2018Stochastic Harmonic Function Representation of Random Fields for Material Properties of Structures69 cited
    • 2021Variance-based reliability sensitivity analysis and the FORM α -factors68 cited
    • 2018Active Learning Kriging Model Combining With Kernel-Density-Estimation-Based Importance Sampling Method for the Estimation of Low Failure Probability64 cited
    • 2017Performance of global metamodeling techniques in solution of structural reliability problems59 cited
    • 2019Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods59 cited