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Active Learning-Based Kriging Model with Noise Responses and Its Application to Reliability Analysis of Structures
16 references·0 citing·34 second hop
Active Learning-Based Kriging Model with Noise Responses and Its Application to Reliability Analysis of Structures (2024)Active Learning-Based Kriging Model with …Adaptive approaches in metamodel-based reliability analysis: A review (2020)Adaptive approaches in metamo…Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)Surrogate-assisted reliabilit…An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)An active-learning algorithm …Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…POLYNOMIAL-CHAOS-BASED KRIGING (2015)POLYNOMIAL-CHAOS-BASED KRIGINGMetamodel-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…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Kriging metamodeling in simulation: A review (2007)Kriging metamodeling in simul…Application of kriging method to structural reliability problems (2004)Application of kriging method…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…A new adaptive importance sampling scheme for reliability calculations (1999)A new adaptive importance sam…Reliability-based optimization in structural engineering (1994)Reliability-based optimizatio…Structural Reliability Theory and Its Applications (1982)Structural Reliability Theory…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)Optimization algorithms for structural reliability (1991)A critical appraisal of reliability estimation procedures for high dimensions (2004)MCMC algorithms for Subset Simulation (2015)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)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)Applied Statistical Decision Theory (1962)Probability, statistics, and decision for civil engineers (1970)Structural reliability under combined random load sequences (1978)Computational methods in optimization considering uncertainties – An overview (2008)Benchmark study of numerical methods for reliability-based design optimization (2009)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)Design and Analysis of Computer Experiments (1989)Bayesian Experimental Design: A Review (1995)Sensitivity analysis: A review of recent advances (2015)Uncertainties in risk analysis: Six levels of treatment (1996)Reliability analysis—a review and some perspectives (2001)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)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)A new response surface methodology for reliability-based design optimization (2003)Hybrid Analysis Method for Reliability-Based Design Optimization (2003)Reliability-based design optimization for crashworthiness of vehicle side impact (2004)
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References

  • 2017Structural Reliability Analysis and Prediction3,780 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2003The Design and Analysis of Computer Experiments2,204 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
  • 1982Structural Reliability Theory and Its Applications908 cited
  • 2004Application of kriging method to structural reliability problems709 cited
  • 1999A new adaptive importance sampling scheme for reliability calculations564 cited
  • 1994Reliability-based optimization in structural engineering550 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2015POLYNOMIAL-CHAOS-BASED KRIGING398 cited
  • 2018An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis308 cited
  • 2020Adaptive approaches in metamodel-based reliability analysis: A review

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280 cited
  • 2019Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework213 cited
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