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A new active learning method for system reliability analysis with multiple failure modes
16 references·7 citing·26 second hop
A new active learning method for system reliability analysis with multiple failure modes (2023)A new active learning method for system r…Support vector machine in structural reliability analysis: A review (2023)Support vector machine in str…Adaptive approaches in metamodel-based reliability analysis: A review (2020)Adaptive approaches in metamo…REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)REIF: A novel active-learning…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…Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)Assessing small failure proba…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…An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability (2014)An improved adaptive kriging-…A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)A combined Importance Samplin…Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)Efficient surrogate models fo…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 …Application of line sampling simulation method to reliability benchmark problems (2006)Application of line sampling …Reliability of structures in high dimensions, part I: algorithms and applications (2004)Reliability of structures in …Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…AEK-MFIS: An adaptive ensemble of Kriging models based on multi-fidelity simulations and importance sampling for small failure probabilities (2025)AEK-MFIS: An adaptive ensembl…Quantified active learning Kriging model for structural reliability analysis (2024)Quantified active learning Kr…PLIC-FSR-SYS: System reliability analysis based on parallel learning of influential components with filtered sample region (2024)PLIC-FSR-SYS: System reliabil…An Efficient System Reliability Analysis Method Based on Evidence Theory With Parameter Correlations (2024)An Efficient System Reliabili…AK–TSAGL: A two-stage hybrid algorithm combining global exploration and local exploitation based on active learning for structural reliability analysis (2024)AK–TSAGL: A two-stage hybrid …AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities (2024)AK-Gibbs: An active learning …A novel active learning Kriging based on improved Metropolis-Hastings and importance sampling for small failure probabilities (2024)A novel active learning Krigi…Structural reliability under combined random load sequences (1978)Stochastic Finite Elements: A Spectral Approach (1991)Machine learning-based methods in structural reliability analysis: A review (2021)Active learning for structural reliability: Survey, general framework and benchmark (2022)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)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)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)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)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)
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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
  • 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
  • 2016Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation412 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
  • 2004Reliability of structures in high dimensions, part I: algorithms and applications370 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 2006Application of line sampling simulation method to reliability benchmark problems292 cited

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  • 2011Efficient surrogate models for reliability analysis of systems with multiple failure modes290 cited
  • 2020Adaptive approaches in metamodel-based reliability analysis: A review280 cited
  • 2014An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability278 cited
  • Cited by

    • 2024An Efficient System Reliability Analysis Method Based on Evidence Theory With Parameter Correlations24 cited
    • 2024Quantified active learning Kriging model for structural reliability analysis21 cited
    • 2024AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities19 cited
    • 2024AK–TSAGL: A two-stage hybrid algorithm combining global exploration and local exploitation based on active learning for structural reliability analysis14 cited
    • 2025AEK-MFIS: An adaptive ensemble of Kriging models based on multi-fidelity simulations and importance sampling for small failure probabilities14 cited
    • 2024PLIC-FSR-SYS: System reliability analysis based on parallel learning of influential components with filtered sample region13 cited
    • 2024A novel active learning Kriging based on improved Metropolis-Hastings and importance sampling for small failure probabilities13 cited