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An active learning Kriging‐based multipoint sampling strategy for structural reliability analysis
16 references·0 citing·32 second hop
An active learning Kriging‐based multipoint sampling strategy for structural reliability analysis (2023)An active learning Kriging‐based multipoi…Support vector machine in structural reliability analysis: A review (2023)Support vector machine in str…A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower (2022)A novel Kriging-model-assiste…A review on genetic algorithm: past, present, and future (2020)A review on genetic algorithm…REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)REIF: A novel active-learning…Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis (2018)Hamiltonian Monte Carlo metho…ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods (2018)ESC: an efficient error-based…AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models (2018)AK-MCSi: A Kriging-based meth…A new direct second-order reliability analysis method (2017)A new direct second-order rel…Optimal Model Management for Multifidelity Monte Carlo Estimation (2016)Optimal Model Management for …LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)LIF: A new Kriging based lear…A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)A new learning function for K…Review and application of Artificial Neural Networks models in reliability analysis of steel structures (2014)Review and application of Art…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…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Exploratory designs for computational experiments (1995)Exploratory designs for compu…Structural reliability under combined random load sequences (1978)Stochastic Finite Elements: A Spectral Approach (1991)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Machine learning-based methods in structural reliability analysis: A review (2021)Active learning for structural reliability: Survey, general framework and benchmark (2022)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Metamodel-based importance sampling for structural reliability analysis (2013)Exact and Invariant Second-Moment Code Format (1974)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)A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis (2017)A 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)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)An efficient algorithm for constructing optimal design of computer experiments (2004)Choosing the Sample Size of a Computer Experiment: A Practical Guide (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)The intrinsic random functions and their applications (1973)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)Application of kriging method to structural reliability problems (2004)Structural reliability analysis based on improved wolf pack algorithm AK-SS (2023)Adaptive directed support vector machine method for the reliability evaluation of aeroengine structure (2024)Theory and application of possibility and evidence in reliability analysis and design optimization (2025)Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction (2022)A Comprehensive Review on RSM-Coupled Optimization Techniques and Its Applications (2023)Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme (2023)
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References

  • 2020A review on genetic algorithm: past, present, and future4,644 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
  • 2023Support vector machine in structural reliability analysis: A review507 cited
  • 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
  • 2015A new learning function for Kriging and its applications to solve reliability problems in engineering400 cited
  • 2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures392 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 2016Optimal Model Management for Multifidelity Monte Carlo Estimation243 cited
  • 2022A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower219 cited
  • 2018AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models218 cited

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  • 2017A new direct second-order reliability analysis method190 cited
  • 2018ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods180 cited
  • 2018Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis151 cited
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