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On the Pareto optimality of variance reduction simulation techniques in structural reliability
16 references·0 citing·34 second hop
On the Pareto optimality of variance reduction simulation techniques in structural reliability (2015)On the Pareto optimality of variance redu…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…A Second-Order Reliability Method With First-Order Efficiency (2010)A Second-Order Reliability Me…Geometric insight into the challenges of solving high-dimensional reliability problems (2008)Geometric insight into the ch…Adaptive radial-based importance sampling method for structural reliability (2007)Adaptive radial-based importa…The empirical behavior of sampling methods for stochastic programming (2006)The empirical behavior of sam…Benchmark study on reliability estimation in higher dimensions of structural systems – An overview (2006)Benchmark study on reliabilit…Application of subset simulation methods to reliability benchmark problems (2006)Application of subset simulat…Hybrid Subset Simulation method for reliability estimation of dynamical systems subject to stochastic excitation (2005)Hybrid Subset Simulation meth…Reliability of structures in high dimensions, part I: algorithms and applications (2004)Reliability of structures in …Reliability estimation for dynamical systems subject to stochastic excitation using subset simulation with splitting (2004)Reliability estimation for dy…Important sampling in high dimensions (2002)Important sampling in high di…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…Optimal Importance‐Sampling Density Estimator (1992)Optimal Importance‐Sampling D…A critical appraisal of methods to determine failure probabilities (1987)A critical appraisal of metho…Methods of Reducing Sample Size in Monte Carlo Computations (1953)Methods of Reducing Sample Si…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)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)The Sample Average Approximation Method for Stochastic Discrete Optimization (2002)On Complexity of Stochastic Programming Problems (2006)Planning for Disruptions in Supply Chain Networks (2006)Monte Carlo sampling-based methods for stochastic optimization (2014)Optimization algorithms for structural reliability (1991)Metamodel-based importance sampling for structural reliability analysis (2013)MCMC algorithms for Subset Simulation (2015)A critical appraisal of reliability estimation procedures for high dimensions (2004)Bayesian post-processor and other enhancements of Subset Simulation for estimating failure probabilities in high dimensions (2011)Reliability engineering (2011)Accelerated subset simulation with neural networks for reliability analysis (2012)Narrow Reliability Bounds for Structural Systems (1979)A survey on approaches for reliability-based optimization (2010)A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)Reliability analysis—a review and some perspectives (2001)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Uncertainties in risk analysis: Six levels of treatment (1996)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Application of line sampling simulation method to reliability benchmark problems (2006)Subset simulation for structural reliability sensitivity analysis (2008)Active learning for structural reliability: Survey, general framework and benchmark (2022)Quick simulation: a review of importance sampling techniques in communications systems (1997)Preventing undesirable behavior of intelligent machines (2019)Fairness without Demographics through Adversarially Reweighted Learning (2020)Reliability-based design sensitivity by efficient simulation (2005)Sequential importance sampling for structural reliability analysis (2016)A review and assessment of importance sampling methods for reliability analysis (2022)
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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
  • 1999A new adaptive importance sampling scheme for reliability calculations564 cited
  • 1987A critical appraisal of methods to determine failure probabilities436 cited
  • 2006The empirical behavior of sampling methods for stochastic programming426 cited
  • 2002Important sampling in high dimensions375 cited
  • 2004Reliability of structures in high dimensions, part I: algorithms and applications370 cited
  • 1953Methods of Reducing Sample Size in Monte Carlo Computations319 cited
  • 2006Application of subset simulation methods to reliability benchmark problems285 cited
  • 2006Benchmark study on reliability estimation in higher dimensions of structural systems – An overview220 cited
  • 2007Adaptive radial-based importance sampling method for structural reliability182 cited
  • 2008Geometric insight into the challenges of solving high-dimensional reliability problems172 cited
  • 2004Reliability estimation for dynamical systems subject to stochastic excitation using subset simulation with splitting135 cited
  • 2010A Second-Order Reliability Method With First-Order Efficiency130 cited

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1992
Optimal Importance‐Sampling Density Estimator
116 cited
  • 2005Hybrid Subset Simulation method for reliability estimation of dynamical systems subject to stochastic excitation101 cited
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