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AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm
16 references·1 citing·34 second hopsampled
AK-HMC-IS: A Novel Importance Sampling Method for Efficient Reliability Analysis Based on Active Kriging and Hybrid Monte Carlo Algorithm (2022)AK-HMC-IS: A Novel Importance Sampling Me…REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)REIF: A novel active-learning…AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis (2019)AKOIS: An adaptive Kriging or…Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis (2018)Hamiltonian Monte Carlo metho…A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities (2018)A combined projection-outline…Time-Dependent Reliability Analysis Through Response Surface Method (2017)Time-Dependent Reliability An…Sequential importance sampling for structural reliability analysis (2016)Sequential importance samplin…LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)LIF: A new Kriging based lear…An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability (2014)An improved adaptive kriging-…An efficient reliability method combining adaptive importance sampling and Kriging metamodel (2014)An efficient reliability meth…Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method (2013)Structural reliability analys…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…Cross-entropy-based adaptive importance sampling using Gaussian mixture (2013)Cross-entropy-based adaptive …A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)A combined Importance Samplin…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…A new adaptive importance sampling scheme for reliability calculations (1999)A new adaptive importance sam…Efficient Algorithm for Second‐Order Reliability Analysis (1991)Efficient Algorithm for Secon…AOK‐ES: Adaptive optimized Kriging combining efficient sampling for structural reliability analysis (2024)AOK‐ES: Adaptive optimized Kr…Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Simulation and the Monte Carlo Method (2007)Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Active learning for structural reliability: Survey, general framework and benchmark (2022)Simulation and the Monte Carlo Method (1981)Optimization algorithms for structural reliability (1991)A critical appraisal of reliability estimation procedures for high dimensions (2004)MCMC algorithms for Subset Simulation (2015)Simulation and the Monte Carlo Method (2016)Kriging metamodeling in simulation: A review (2007)Exact and Invariant Second-Moment Code Format (1974)Structural reliability under combined random load sequences (1978)Structural Reliability under Incomplete Probability Information (1986)First- and Second-Order Reliability Methods (2004)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Estimation of small failure probabilities in high dimensions by subset simulation (2001)A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)General foundations of high‐dimensional model representations (1999)Moment methods for structural reliability (2001)Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation (2022)The intrinsic random functions and their applications (1973)A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis (2017)Machine learning-based methods in structural reliability analysis: A review (2021)The Design and Analysis of Computer Experiments (2003)Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (2021)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Cross entropy-based importance sampling using Gaussian densities revisited (2018)RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis (2019)
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References

  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
  • 1999A new adaptive importance sampling scheme for reliability calculations564 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
  • 2013Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method309 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 1991Efficient Algorithm for Second‐Order Reliability Analysis293 cited
  • 2014An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability278 cited
  • 2016Sequential importance sampling for structural reliability analysis267 cited
  • 2017Time-Dependent Reliability Analysis Through Response Surface Method244 cited
  • 2013Cross-entropy-based adaptive importance sampling using Gaussian mixture209 cited
  • 2014An efficient reliability method combining adaptive importance sampling and Kriging metamodel162 cited

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2018
Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis
151 cited
  • 2019AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis148 cited
  • 2018A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities144 cited
  • Cited by

    • 2024AOK‐ES: Adaptive optimized Kriging combining efficient sampling for structural reliability analysis11 cited