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Efficient Evaluation of Reliability-Oriented Sensitivity Indices
16 references·12 citing·25 second hop
Efficient Evaluation of Reliability-Oriented Sensitivity Indices (2019)Efficient Evaluation of Reliability-Orien…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…Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola (2008)Global Sensitivity Analysis: …Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Simulation and the Monte Carlo Method (2007)Simulation and the Monte Carl…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Estimating the approximation …Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…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…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Optimal Latin-hypercube designs for computer experiments (1994)Optimal Latin-hypercube desig…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Structural reliability under combined random load sequences (1978)Structural reliability under …FORM-based global reliability sensitivity analysis of systems with multiple failure modes (2025)FORM-based global reliability…Variance-based reliability sensitivity with dependent inputs using failure samples (2023)Variance-based reliability se…Variance-based sensitivity analysis of dynamic systems with both input and model uncertainty (2021)Variance-based sensitivity an…Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis (2021)Drone Ground Impact Footprint…BEPU robustness analysis via perturbed law-based sensitivity indices (2021)BEPU robustness analysis via …An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes (2021)An Information Geometry Appro…Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures (2020)Simultaneous estimation of co…Limit States of Structures and Global Sensitivity Analysis Based on Cramér-von Mises Distance (2020)Limit States of Structures an…Global reliability sensitivity analysis based on state dependent parameter method and efficient sampling techniques (2020)Global reliability sensitivit…Robustness of the Sobol' Indices to Marginal Distribution Uncertainty (2019)Robustness of the Sobol' Indi…Global reliability sensitivity estimation based on failure samples (2019)Global reliability sensitivit…A novel estimation method for failure-probability-based-sensitivity by conditional probability theorem (2019)A novel estimation method for…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)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Metamodel-based importance sampling for structural reliability analysis (2013)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)An efficient algorithm for constructing optimal design of computer experiments (2004)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Variance based sensitivity analysis of model output. 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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
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  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2007Simulation and the Monte Carlo Method2,454 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1978Structural reliability under combined random load sequences2,229 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
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  • 1994Optimal Latin-hypercube designs for computer experiments634 cited
  • 2008

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Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola
511 cited
  • 2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis395 cited
  • Cited by

    • 2025FORM-based global reliability sensitivity analysis of systems with multiple failure modes24 cited
    • 2019Global reliability sensitivity estimation based on failure samples24 cited
    • 2020Global reliability sensitivity analysis based on state dependent parameter method and efficient sampling techniques19 cited
    • 2021Variance-based sensitivity analysis of dynamic systems with both input and model uncertainty17 cited
    • 2021Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis14 cited
    • 2021An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes13 cited
    • 2019Robustness of the Sobol' Indices to Marginal Distribution Uncertainty12 cited
    • 2023Variance-based reliability sensitivity with dependent inputs using failure samples11 cited
    • 2020Limit States of Structures and Global Sensitivity Analysis Based on Cramér-von Mises Distance10 cited
    • 2019A novel estimation method for failure-probability-based-sensitivity by conditional probability theorem9 cited
    • 2021BEPU robustness analysis via perturbed law-based sensitivity indices8 cited
    • 2020Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures7 cited