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LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems
16 references·13 citing·41 second hop
LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems (2021)LSTM-augmented deep networks for time-var…Reliability analysis with stratified importance sampling based on adaptive Kriging (2020)Reliability analysis with str…Dynamic reliability analysis using the extended support vector regression (X-SVR) (2019)Dynamic reliability analysis …Efficient reliability analysis based on adaptive sequential sampling design and cross-validation (2018)Efficient reliability analysi…A general failure-pursuing sampling framework for surrogate-based reliability analysis (2018)A general failure-pursuing sa…Principal component analysis and polynomial chaos expansion for time-variant reliability problems (2017)Principal component analysis …An Outcrossing Rate Model and Its Efficient Calculation for Time-Dependent System Reliability Analysis (2017)An Outcrossing Rate Model and…A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis (2017)A new adaptive sequential sam…A hybrid relaxed first-order reliability method for efficient structural reliability analysis (2017)A hybrid relaxed first-order …Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions (2016)Reliability Analysis With Mon…Confidence-based adaptive extreme response surface for time-variant reliability analysis under random excitation (2016)Confidence-based adaptive ext…A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016)A Single-Loop Kriging Surroga…Time-dependent reliability analysis with joint upcrossing rates (2013)Time-dependent reliability an…A new approach for reliability analysis with time-variant performance characteristics (2013)A new approach for reliabilit…A Nested Extreme Response Surface Approach for Time-Dependent Reliability-Based Design Optimization (2012)A Nested Extreme Response Sur…The PHI2 method: a way to compute time-variant reliability (2003)The PHI2 method: a way to com…Comparison of finite element reliability methods (2002)Comparison of finite element …Time series clustering adaptive enhanced method for time-dependent reliability analysis and design optimization (2025)Time series clustering adapti…Adaptive physics-informed neural operator and subset simulation for high-dimensional reliability analysis with multiple stochastic processes in stochastic differential equations (2025)Adaptive physics-informed neu…Probability-informed neural network-driven point-evolution kernel density estimation for time-dependent reliability analysis (2024)Probability-informed neural n…On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling (2024)On efficient time-dependent r…Dynamic human error risk assessment of group decision-making in extreme cooperative scenario (2024)Dynamic human error risk asse…Adaptive support vector machine for time-variant failure probability function estimation (2024)Adaptive support vector machi…A single-loop reliability sensitivity analysis strategy for time-dependent rare events with both random variables and stochastic processes (2024)A single-loop reliability sen…Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification (2023)Time-dependent system reliabi…Line sampling for time-variant failure probability estimation using an adaptive combination approach (2023)Line sampling for time-varian…Deep learning-based methods in structural reliability analysis: a review (2023)Deep learning-based methods i…A loading contribution degree analysis-based strategy for time-variant reliability analysis of structures under multiple loading stochastic processes (2023)A loading contribution degree…Time-Variant Reliability Analysis for a Complex System Based on Active-Learning Kriging Model (2022)Time-Variant Reliability Anal…High dimensional reliability analysis based on 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References

  • 2003The PHI2 method: a way to compute time-variant reliability460 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
  • 2002Comparison of finite element reliability methods258 cited
  • 2012A Nested Extreme Response Surface Approach for Time-Dependent Reliability-Based Design Optimization241 cited
  • 2013Time-dependent reliability analysis with joint upcrossing rates234 cited
  • 2018A general failure-pursuing sampling framework for surrogate-based reliability analysis163 cited
  • 2017A hybrid relaxed first-order reliability method for efficient structural reliability analysis153 cited
  • 2016Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions145 cited
  • 2020Reliability analysis with stratified importance sampling based on adaptive Kriging127 cited
  • 2017Principal component analysis and polynomial chaos expansion for time-variant reliability problems125 cited
  • 2013A new approach for reliability analysis with time-variant performance characteristics119 cited
  • 2018Efficient reliability analysis based on adaptive sequential sampling design and cross-validation112 cited
  • 2016Confidence-based adaptive extreme response surface for time-variant reliability analysis under random excitation

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111 cited
  • 2017An Outcrossing Rate Model and Its Efficient Calculation for Time-Dependent System Reliability Analysis102 cited
  • 2019Dynamic reliability analysis using the extended support vector regression (X-SVR)95 cited
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    • 2023Line sampling for time-variant failure probability estimation using an adaptive combination approach27 cited
    • 2024Dynamic human error risk assessment of group decision-making in extreme cooperative scenario27 cited
    • 2024On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling26 cited
    • 2024Probability-informed neural network-driven point-evolution kernel density estimation for time-dependent reliability analysis26 cited
    • 2022Time-Variant Reliability Analysis for a Complex System Based on Active-Learning Kriging Model23 cited
    • 2025Time series clustering adaptive enhanced method for time-dependent reliability analysis and design optimization17 cited
    • 2023Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification17 cited
    • 2024A single-loop reliability sensitivity analysis strategy for time-dependent rare events with both random variables and stochastic processes13 cited
    • 2022High dimensional reliability analysis based on combinations of adaptive Kriging and dimension reduction technique12 cited
    • 2025Adaptive physics-informed neural operator and subset simulation for high-dimensional reliability analysis with multiple stochastic processes in stochastic differential equations8 cited