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Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes
16 references·16 citing·37 second hopsampled
Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes (2016)Time-variant global reliability sensitivi…A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016)A Single-Loop Kriging Surroga…Variable importance analysis: A comprehensive review (2015)Variable importance analysis:…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…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…Analytical derivation of the outcrossing rate in time-variant reliability problems (2008)Analytical derivation of the …An effective screening design for sensitivity analysis of large models (2007)An effective screening design…The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters (2006)The extreme value distributio…Reliability-based design sensitivity by efficient simulation (2005)Reliability-based design sens…The PHI2 method: a way to compute time-variant reliability (2003)The PHI2 method: a way to com…Implementation of Karhunen–Loeve expansion for simulation using a wavelet-Galerkin scheme (2002)Implementation of Karhunen–Lo…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Exact and Invariant Second-Moment Code Format (1974)Exact and Invariant Second-Mo…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-variant reliability global sensitivity analysis with single-loop Kriging model combined with importance sampling (2023)Time-variant reliability glob…Structural reliability analysis based on neural networks with physics-informed training samples (2023)Structural reliability analys…Reliability-oriented global sensitivity analysis using subset simulation and space partition (2023)Reliability-oriented global s…A novel Bayesian-inference-based method for global sensitivity analysis of system reliability with multiple failure modes (2023)A novel Bayesian-inference-ba…A double-loop Kriging model algorithm combined with importance sampling for time-dependent reliability analysis (2023)A double-loop Kriging model a…Copula-based methods for global sensitivity analysis with correlated random variables and stochastic processes under incomplete probability information (2022)Copula-based methods for glob…Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model (2022)Approach for the structural r…ESLA: a new surrogate-assisted single-loop reliability-based design optimization technique (2021)ESLA: a new surrogate-assiste…An efficient decoupled method for time-variant reliability-based design optimization (2021)An efficient decoupled method…Time-dependent reliability prediction using transfer learning (2020)Time-dependent reliability pr…Time-variant reliability analysis based on high dimensional model representation (2019)Time-variant reliability anal…A new global sensitivity measure based on derivative-integral and variance decomposition and its application in structural crashworthiness (2019)A new global sensitivity meas…A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models (2018)A probabilistic procedure for…Variance-based sensitivity analysis for models with correlated inputs and its state dependent parameter solution (2017)Variance-based sensitivity an…Cross-covariance based global dynamic sensitivity analysis (2017)Cross-covariance based global…Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)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)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Handbook on Constructing Composite Indicators (2005)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)How to avoid a perfunctory sensitivity analysis (2010)Optimal Discretization of Random Fields (1993)Time-Dependent Reliability Analysis Through Response Surface Method (2017)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Machine learning-based methods in structural reliability analysis: A review (2021)Statistical principles in experimental design. (1962)Global Sensitivity Analysis. The Primer (2007)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Random forests for global sensitivity analysis: A selective review (2020)Surrogate-assisted global sensitivity analysis: an overview (2020)Risk, Ambiguity, and the Savage Axioms (1961)The Price of Robustness (2004)Risk assessment and risk management: Review of recent advances on their foundation (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Narrow Reliability Bounds for Structural Systems (1979)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)A new uncertainty importance measure (2006)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)SALib: An open-source Python library for Sensitivity Analysis (2017)
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1974Exact and Invariant Second-Moment Code Format3,138 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
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2015Variable importance analysis: A comprehensive review526 cited
  • 2003The PHI2 method: a way to compute time-variant reliability460 cited
  • 2006The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters352 cited
  • 2005Reliability-based design sensitivity by efficient simulation330 cited
  • 2008Analytical derivation of the outcrossing rate in time-variant reliability problems326 cited
  • 2016A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis325 cited

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2008
Subset simulation for structural reliability sensitivity analysis
284 cited
  • 2002Implementation of Karhunen–Loeve expansion for simulation using a wavelet-Galerkin scheme279 cited
  • Cited by

    • 2019Time-variant reliability analysis based on high dimensional model representation29 cited
    • 2023Structural reliability analysis based on neural networks with physics-informed training samples26 cited
    • 2017Cross-covariance based global dynamic sensitivity analysis22 cited
    • 2023Reliability-oriented global sensitivity analysis using subset simulation and space partition21 cited
    • 2020Time-dependent reliability prediction using transfer learning21 cited
    • 2023A double-loop Kriging model algorithm combined with importance sampling for time-dependent reliability analysis20 cited
    • 2023Time-variant reliability global sensitivity analysis with single-loop Kriging model combined with importance sampling20 cited
    • 2017Variance-based sensitivity analysis for models with correlated inputs and its state dependent parameter solution20 cited
    • 2019A new global sensitivity measure based on derivative-integral and variance decomposition and its application in structural crashworthiness19 cited
    • 2022Copula-based methods for global sensitivity analysis with correlated random variables and stochastic processes under incomplete probability information16 cited
    • 2022Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model15 cited
    • 2023A novel Bayesian-inference-based method for global sensitivity analysis of system reliability with multiple failure modes13 cited
    • 2024A single-loop reliability sensitivity analysis strategy for time-dependent rare events with both random variables and stochastic processes13 cited
    • 2018A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models13 cited
    • 2021ESLA: a new surrogate-assisted single-loop reliability-based design optimization technique12 cited
    • 2021An efficient decoupled method for time-variant reliability-based design optimization9 cited