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An Efficient Entropy-Based Method for Reliability Assessment by Combining Kriging Meta-Models
16 references·0 citing·42 second hop
An Efficient Entropy-Based Method for Reliability Assessment by Combining Kriging Meta-Models (2019)An Efficient Entropy-Based Method for Rel…AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models (2018)AK-MCSi: A Kriging-based meth…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis (2017)A new adaptive sequential sam…Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Rare Event Estimation Using P…Efficient structural reliability analysis method based on advanced Kriging model (2014)Efficient structural reliabil…Assessment of the efficiency of Kriging surrogate models for structural reliability analysis (2014)Assessment of the efficiency …AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Structural reliability analysis using Monte Carlo simulation and neural networks (2007)Structural reliability analys…Interval Reliability Analysis (2007)Interval Reliability AnalysisApplication of subset simulation methods to reliability benchmark problems (2006)Application of subset simulat…Classification Approach for Reliability Analysis with Stochastic Finite-Element Modeling (2003)Classification Approach for R…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…A benchmark study on importance sampling techniques in structural reliability (1993)A benchmark study on importan…Observations on applications of importance sampling in structural reliability analysis (1991)Observations on applications …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Simulation and the Monte Carlo Method (1982)Simulation and the Monte Carl…Exact and Invariant Second-Moment Code Format (1974)Structural Reliability Theory and Its Applications (1982)Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation (1996)Adaptive surrogate model with active refinement combining Kriging and a trust region method (2017)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)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)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)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Design of Experiments (1936)On a Measure of the Information Provided by an Experiment (1956)Minimax and maximin distance designs (1990)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Structural reliability under combined random load sequences (1978)Importance sampling in structural systems (1989)Optimization algorithms for structural reliability (1991)Important sampling in high dimensions (2002)A comparative study of uncertainty propagation methods for black-box-type problems (2008)Reliability analysis—a review and some perspectives (2001)A critical appraisal of reliability estimation procedures for high dimensions (2004)Benchmark study on reliability estimation in higher dimensions of structural systems – An overview (2006)Reliability engineering (2011)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Adaptive approaches in metamodel-based reliability analysis: A review (2020)A review and assessment of importance sampling methods for reliability analysis (2022)Active learning for structural reliability: Survey, general framework and benchmark (2022)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)Uncertainties in risk analysis: Six levels of treatment (1996)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)New stochastic models for capacitated location-allocation problem (2003)Reliability estimation for dynamical systems subject to stochastic excitation using subset simulation with splitting (2004)An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation (2019)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 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
  • 1993A benchmark study on importance sampling techniques in structural reliability380 cited
  • 1982Simulation and the Monte Carlo Method346 cited
  • 2017A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis317 cited
  • 2006Application of subset simulation methods to reliability benchmark problems285 cited
  • 2016Rare Event Estimation Using Polynomial-Chaos Kriging279 cited
  • 2007Structural reliability analysis using Monte Carlo simulation and neural networks245 cited
  • 2014Assessment of the efficiency of Kriging surrogate models for structural reliability analysis222 cited
  • 2018AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models218 cited
  • 2014Efficient structural reliability analysis method based on advanced Kriging model188 cited
  • 1991Observations on applications of importance sampling in structural reliability analysis101 cited

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  • 2003Classification Approach for Reliability Analysis with Stochastic Finite-Element Modeling94 cited
  • 2007Interval Reliability Analysis81 cited
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