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Reliability Analysis Using Adaptive Kriging Surrogates with Multimodel Inference
16 references·13 citing·38 second hop
Reliability Analysis Using Adaptive Kriging Surrogates with Multimodel Inference (2019)Reliability Analysis Using Adaptive Krigi…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)LIF: A new Kriging based lear…The generalization of Latin hypercube sampling (2015)The generalization of Latin h…MCMC algorithms for Subset Simulation (2015)MCMC algorithms for Subset Si…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…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Methods of structural safety (2006)Methods of structural safetyApplication of kriging method to structural reliability problems (2004)Application of kriging method…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Response surface method using vector projected sampling points (1997)Response surface method using…A new look at the response surface approach for reliability analysis (1993)A new look at the response su…A Bayesian Analysis of Kriging (1993)A Bayesian Analysis of KrigingSecond‐Order Reliability Approximations (1987)Second‐Order Reliability Appr…A critical appraisal of methods to determine failure probabilities (1987)A critical appraisal of metho…Structural Reliability under Incomplete Probability Information (1986)Structural Reliability under …Enhanced Active Learning for Structural Reliability Analysis: An Ensemble SVR Metamodel‐Monte Carlo Approach (2025)Enhanced Active Learning for …On active learning for Gaussian process-based global sensitivity analysis (2024)On active learning for Gaussi…A reliability-based design optimization strategy using quantile surrogates by improved PC-kriging (2024)A reliability-based design op…Kriging‐based reliability analysis for a multi‐output structural system with multiple response Gaussian process (2023)Kriging‐based reliability ana…A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies (2023)A Review of Uncertainty-Based…A new adaptive multi-kernel relevance vector regression for structural reliability analysis (2023)A new adaptive multi-kernel r…Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk (2022)Surrogate modeling for effici…Reliability-Based Robust Optimization Design for vehicle drum brake considering multiple failure modes (2022)Reliability-Based Robust Opti…Ensemble of metamodels-assisted probability density evolution method for structural reliability analysis (2022)Ensemble of metamodels-assist…A novel hybrid adaptive scheme for Kriging-based reliability estimation – A comparative study (2022)A novel hybrid adaptive schem…Fuzzy Reliability Analysis Using Genetic Optimization Algorithm Combined with Adaptive Descent Chaos Control (2020)Fuzzy Reliability Analysis Us…Efficient global sensitivity analysis of structural vibration for a nuclear reactor system subject to nonstationary loading (2020)Efficient global sensitivity …Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates (2018)Efficient global sensitivity …A 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)Global Sensitivity Analysis. The Primer (2007)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Exact and Invariant Second-Moment Code Format (1974)Response Surface Methodology (1996)Moment methods for structural reliability (2001)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)Simulation and the Monte Carlo Method (2016)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Metamodel-based importance sampling for structural reliability analysis (2013)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)Structural reliability under combined random load sequences (1978)Narrow Reliability Bounds for Structural Systems (1979)Optimal Discretization of Random Fields (1993)ON STATIONARY PROCESSES IN THE PLANE (1954)Spatial Statistics (1981)Spatial statistics (1981)Objective Bayesian Analysis of Spatially Correlated Data (2001)Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics (2004)Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets (2008)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)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)Optimization algorithms for structural reliability (1991)A New Study on Reliability-Based Design Optimization (1999)
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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
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2006Methods of structural safety1,835 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 1986Structural Reliability under Incomplete Probability Information853 cited
  • 1993A new look at the response surface approach for reliability analysis733 cited
  • 2004Application of kriging method to structural reliability problems709 cited
  • 2015The generalization of Latin hypercube sampling656 cited
  • 1993A Bayesian Analysis of Kriging585 cited
  • 1987Second‐Order Reliability Approximations583 cited
  • 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
  • 1987A critical appraisal of methods to determine failure probabilities436 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 1997Response surface method using vector projected sampling points

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413 cited
  • 2015MCMC algorithms for Subset Simulation413 cited
  • Cited by

    • 2024On active learning for Gaussian process-based global sensitivity analysis32 cited
    • 2022A novel hybrid adaptive scheme for Kriging-based reliability estimation – A comparative study32 cited
    • 2022Ensemble of metamodels-assisted probability density evolution method for structural reliability analysis32 cited
    • 2024A reliability-based design optimization strategy using quantile surrogates by improved PC-kriging31 cited
    • 2018Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates23 cited
    • 2022Reliability-Based Robust Optimization Design for vehicle drum brake considering multiple failure modes22 cited
    • 2022Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk19 cited
    • 2023A new adaptive multi-kernel relevance vector regression for structural reliability analysis19 cited
    • 2023A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies18 cited
    • 2020Fuzzy Reliability Analysis Using Genetic Optimization Algorithm Combined with Adaptive Descent Chaos Control16 cited
    • 2023Kriging‐based reliability analysis for a multi‐output structural system with multiple response Gaussian process15 cited
    • 2020Efficient global sensitivity analysis of structural vibration for a nuclear reactor system subject to nonstationary loading13 cited
    • 2025Enhanced Active Learning for Structural Reliability Analysis: An Ensemble SVR Metamodel‐Monte Carlo Approach12 cited