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An active learning method based on Monte Carlo dropout neural network for high-dimensional reliability analysis
16 references·3 citing·25 second hop
An active learning method based on Monte Carlo dropout neural network for high-dimensional reliability analysis (2025)An active learning method based on Monte …Support vector machine in structural reliability analysis: A review (2023)Support vector machine in str…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…Simulation and the Monte Carlo Method (2016)Simulation and the Monte Carl…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…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…Subset simulation for structural reliability sensitivity analysis (2008)Subset simulation for structu…Application of subset simulation methods to reliability benchmark problems (2006)Application of subset simulat…Application of kriging method to structural reliability problems (2004)Application of kriging method…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…A general procedure for first/second-order reliabilitymethod (FORM/SORM) (1999)A general procedure for first…A new look at the response surface approach for reliability analysis (1993)A new look at the response su…A fast and efficient response surface approach for structural reliability problems (1990)A fast and efficient response…PAKP: Parallelized Adaptive Kriging method with Partial least squares for high-dimensional reliability analysis (2025)PAKP: Parallelized Adaptive K…An active-learning method based on hierarchical Kriging model for multi-fidelity reliability analysis (2025)An active-learning method bas…Active learning for high-dimensional reliability using matrix-operation anisotropic RBF model embedded with Multiscale Graph Correlation (2025)Active learning for high-dime…Exact and Invariant Second-Moment Code Format (1974)Response Surface Methodology (1996)Moment methods for structural reliability (2001)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)The generalization of Latin hypercube sampling (2015)Optimization algorithms for structural reliability (1991)A critical appraisal of reliability estimation procedures for high dimensions (2004)Metamodel-based importance sampling for structural reliability analysis (2013)MCMC algorithms for Subset Simulation (2015)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainment of Optimum Conditions (1992)Structural reliability under combined random load sequences (1978)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)Automobile Prices in Market Equilibrium (1995)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)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)
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References

  • 2017Structural Reliability Analysis and Prediction3,780 cited
  • 2016Simulation and the Monte Carlo Method3,356 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
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
  • 1993A new look at the response surface approach for reliability analysis733 cited
  • 2004Application of kriging method to structural reliability problems709 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
  • 2023Support vector machine in structural reliability analysis: A review507 cited
  • 1999A general procedure for first/second-order reliabilitymethod (FORM/SORM)487 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 structures

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392 cited
  • 2006Application of subset simulation methods to reliability benchmark problems285 cited
  • 2008Subset simulation for structural reliability sensitivity analysis284 cited
  • Cited by

    • 2025PAKP: Parallelized Adaptive Kriging method with Partial least squares for high-dimensional reliability analysis11 cited
    • 2025An active-learning method based on hierarchical Kriging model for multi-fidelity reliability analysis9 cited
    • 2025Active learning for high-dimensional reliability using matrix-operation anisotropic RBF model embedded with Multiscale Graph Correlation8 cited