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A Sequential Kriging reliability analysis method with characteristics of adaptive sampling regions and parallelizability
9 references·16 citing·42 second hop
A Sequential Kriging reliability analysis method with characteristics of adaptive sampling regions and parallelizability (2016)A Sequential Kriging reliability analysis…Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011)Assessing small failure proba…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning 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 …Kriging metamodeling in simulation: A review (2007)Kriging metamodeling in simul…Use of Kriging Models to Approximate Deterministic Computer Models (2005)Use of Kriging Models to Appr…Application of kriging method to structural reliability problems (2004)Application of kriging method…Improvements to and limitations of Latin hypercube sampling (1998)Improvements to and limitatio…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…A novel learning function for adaptive surrogate-model-based reliability evaluation (2023)A novel learning function for…Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches (2022)Hybrid and enhanced PSO: Nove…System reliability analysis based on dependent Kriging predictions and parallel learning strategy (2021)System reliability analysis b…AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis (2021)AKSE: A novel adaptive Krigin…Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis (2020)Probability-Adaptive Kriging …Efficient adaptive Kriging-based reliability analysis combining new learning function and error-based stopping criterion (2020)Efficient adaptive Kriging-ba…Adaptive Bayesian support vector regression model for structural reliability analysis (2020)Adaptive Bayesian support vec…A novel learning function based on Kriging for reliability analysis (2020)A novel learning function bas…RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis (2019)RBF-GA: An adaptive radial ba…Deep learning for high-dimensional reliability analysis (2019)Deep learning for high-dimens…An active weight learning method for efficient reliability assessment with small failure probability (2019)An active weight learning met…REAK: Reliability analysis through Error rate-based Adaptive Kriging (2018)REAK: Reliability analysis th…ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods (2018)ESC: an efficient error-based…Efficient reliability analysis based on adaptive sequential sampling design and cross-validation (2018)Efficient reliability analysi…A general failure-pursuing sampling framework for surrogate-based reliability analysis (2018)A general failure-pursuing sa…Two accuracy measures of the Kriging model for structural reliability analysis (2017)Two accuracy measures of the …Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Metamodel-based importance sampling for structural reliability analysis (2013)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)On the Experimental Attainment of Optimum Conditions (1951)A fast and efficient response surface approach for structural reliability problems (1990)On the Experimental Attainment of Optimum Conditions (1992)Support vector machine in structural reliability analysis: A review (2023)Digital simulation of random processes and its applications (1972)A 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this work references cited by second hop

References

  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2007Kriging metamodeling in simulation: A review1,278 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2005Use of Kriging Models to Approximate Deterministic Computer Models840 cited
  • 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
  • 2004Application of kriging method to structural reliability problems709 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 1998Improvements to and limitations of Latin hypercube sampling299 cited

Cited by

  • 2018ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods180 cited
  • 2018A general failure-pursuing sampling framework for surrogate-based reliability analysis163 cited
  • 2018REAK: Reliability analysis through Error rate-based Adaptive Kriging162 cited
  • 2023A novel learning function for adaptive surrogate-model-based reliability evaluation157 cited
  • 2019RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis

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132 cited
  • 2022Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches126 cited
  • 2020A novel learning function based on Kriging for reliability analysis121 cited
  • 2020Adaptive Bayesian support vector regression model for structural reliability analysis121 cited
  • 2019Deep learning for high-dimensional reliability analysis117 cited
  • 2021AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis116 cited
  • 2018Efficient reliability analysis based on adaptive sequential sampling design and cross-validation112 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
  • 2020Efficient adaptive Kriging-based reliability analysis combining new learning function and error-based stopping criterion90 cited
  • 2020Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis89 cited
  • 2021System reliability analysis based on dependent Kriging predictions and parallel learning strategy88 cited