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Structural Expected Lifetime Estimation for Systems With Multiple Failure Modes Based on Adaptive Learning Kriging Models
16 references·2 citing·35 second hop
Structural Expected Lifetime Estimation for Systems With Multiple Failure Modes Based on Adaptive Learning Kriging Models (2023)Structural Expected Lifetime Estimation f…System reliability analysis based on dependent Kriging predictions and parallel learning strategy (2021)System reliability analysis b…Adaptive Bayesian support vector regression model for structural reliability analysis (2020)Adaptive Bayesian support vec…System reliability analysis by combining structure function and active learning kriging model (2019)System reliability analysis b…A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots (2019)A Moment Approach to Position…Efficient reliability analysis based on adaptive sequential sampling design and cross-validation (2018)Efficient reliability analysi…AK-SYSi: an improved adaptive Kriging model for system reliability analysis with multiple failure modes by a refined U learning function (2018)AK-SYSi: an improved adaptive…System reliability analysis through active learning Kriging model with truncated candidate region (2017)System reliability analysis t…A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis (2017)A new adaptive sequential sam…A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016)A Single-Loop Kriging Surroga…A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis (2015)A double-loop adaptive sampli…AK-SYS: An adaptation of the AK-MCS method for system reliability (2013)AK-SYS: An adaptation of the …A Nested Extreme Response Surface Approach for Time-Dependent Reliability-Based Design Optimization (2012)A Nested Extreme Response Sur…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…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…Expected lifetime prediction for time- and space-dependent structural systems based on active learning surrogate model (2024)Expected lifetime prediction …A novel active learning Kriging based on improved Metropolis-Hastings and importance sampling for small failure probabilities (2024)A novel active learning Krigi…Design and Analysis of Computer Experiments (1989)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Methods of structural safety (2006)Time-dependent reliability analysis with joint upcrossing rates (2013)Mixed Efficient Global Optimization for Time-Dependent Reliability Analysis (2015)Time-Dependent Reliability Analysis Through Response Surface Method (2017)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Metamodel-based importance sampling for structural reliability analysis (2013)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)The intrinsic random functions and their applications (1973)An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability (2014)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Active learning for structural reliability: Survey, general framework and benchmark (2022)STATISTICS FOR SPATIAL DATA (1992)An active learning kriging model for hybrid reliability analysis with both random and interval variables (2014)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models (2018)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Global sensitivity analysis using polynomial chaos expansions (2007)Surrogate model uncertainty quantification for reliability-based design optimization (2019)A novel learning function based on Kriging for reliability analysis (2020)Structural Reliability Analysis and Prediction (2017)REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)A review and assessment of importance sampling methods for reliability analysis (2022)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (2019)AK-ARBIS: An improved AK-MCS based on the adaptive radial-based importance sampling for small failure probability (2019)A system active learning Kriging method for system reliability-based design optimization with a multiple response model (2020)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)A review of techniques for parameter sensitivity analysis of environmental models (1994)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)
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References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2016A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis325 cited
  • 2017A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis317 cited
  • 2011Efficient surrogate models for reliability analysis of systems with multiple failure modes290 cited
  • 2013AK-SYS: An adaptation of the AK-MCS method for system reliability277 cited
  • 2012A Nested Extreme Response Surface Approach for Time-Dependent Reliability-Based Design Optimization241 cited
  • 2018AK-SYSi: an improved adaptive Kriging model for system reliability analysis with multiple failure modes by a refined U learning function150 cited
  • 2017System reliability analysis through active learning Kriging model with truncated candidate region135 cited
  • 2019A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots132 cited
  • 2020Adaptive Bayesian support vector regression model for structural reliability analysis121 cited
  • 2015A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis114 cited
  • 2018

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Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
112 cited
  • 2019System reliability analysis by combining structure function and active learning kriging model88 cited
  • 2021System reliability analysis based on dependent Kriging predictions and parallel learning strategy88 cited
  • Cited by

    • 2024Expected lifetime prediction for time- and space-dependent structural systems based on active learning surrogate model13 cited
    • 2024A novel active learning Kriging based on improved Metropolis-Hastings and importance sampling for small failure probabilities13 cited