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Global sensitivity analysis of reliability of structural bridge system
16 references·11 citing·29 second hop
Global sensitivity analysis of reliability of structural bridge system (2019)Global sensitivity analysis of reliabilit…Trends in sensitivity analysis practice in the last decade (2016)Trends in sensitivity analysi…Simulation and the Monte Carlo Method (2016)Simulation and the Monte Carl…Variable importance analysis: A comprehensive review (2015)Variable importance analysis:…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…Risk assessment and risk management: Review of recent advances on their foundation (2015)Risk assessment and risk mana…Subset simulation for structural reliability sensitivity analysis (2008)Subset simulation for structu…Reliability sensitivity method by line sampling (2007)Reliability sensitivity metho…Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Measuring Uncertainty Importa…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability (2003)A fast approximate method for…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…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…Simulation and the Monte Carlo Method (1981)Simulation and the Monte Carl…Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Data-driven surrogate modeling for global sensitivity analysis and the design optimization of medical waste shredding systems (2023)Data-driven surrogate modelin…On distribution-based global sensitivity analysis by polynomial chaos expansion (2022)On distribution-based global …Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model (2022)Approach for the structural r…An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis (2022)An efficient multi-fidelity K…A surrogate model for estimating uncertainty in marine riser fatigue damage resulting from vortex-induced vibration (2022)A surrogate model for estimat…New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability (2021)New Importance Measures Based…Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures (2021)Global Sensitivity Analysis B…Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration (2021)Data-driven and active learni…Sensitivity Analysis in Probabilistic Structural Design: A Comparison of Selected Techniques (2020)Sensitivity Analysis in Proba…From Probabilistic to Quantile-Oriented Sensitivity Analysis: New Indices of Design Quantiles (2020)From Probabilistic to Quantil…AK-PDF: An active learning method combining kriging and probability density function for efficient reliability analysis (2019)AK-PDF: An active learning me…On The Quantitative Definition of Risk (1981)Perspectives in supply chain risk management (2006)The black swan: the impact of the highly improbable (2007)The future of risk assessment (2018)Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework (2018)Flexibility and Resilience in Corporate Decision Making: A New Sustainability-Based Risk Management System in Uncertain Times (2021)Risk, Ambiguity, and the Savage Axioms (1961)Factorial Sampling Plans for Preliminary Computational Experiments (1991)The Price of Robustness (2004)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Optimal Latin-hypercube designs for computer experiments (1994)Sensitivity Analysis for Chemical Models (2005)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)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)Automobile Prices in Market Equilibrium (1995)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Tools for Composite Indicators Building (2005)A New Study on Reliability-Based Design Optimization (1999)A distribution-free approach to inducing rank correlation among input variables (1982)Uniform Design: Theory and Application (2000)
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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
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2016Simulation and the Monte Carlo Method3,356 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 1981Simulation and the Monte Carlo Method2,402 cited
  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2015Risk assessment and risk management: Review of recent advances on their foundation1,710 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited
  • 2015Variable importance analysis: A comprehensive review526 cited
  • 2008Subset simulation for structural reliability sensitivity analysis284 cited
  • 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches258 cited
  • 2016Trends in sensitivity analysis practice in the last decade241 cited

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  • 2007Reliability sensitivity method by line sampling191 cited
  • 2003A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability188 cited
  • Cited by

    • 2022An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis79 cited
    • 2020Sensitivity Analysis in Probabilistic Structural Design: A Comparison of Selected Techniques55 cited
    • 2022On distribution-based global sensitivity analysis by polynomial chaos expansion46 cited
    • 2021New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability44 cited
    • 2021Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration38 cited
    • 2022A surrogate model for estimating uncertainty in marine riser fatigue damage resulting from vortex-induced vibration32 cited
    • 2021Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures27 cited
    • 2019AK-PDF: An active learning method combining kriging and probability density function for efficient reliability analysis21 cited
    • 2020From Probabilistic to Quantile-Oriented Sensitivity Analysis: New Indices of Design Quantiles18 cited
    • 2022Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model15 cited
    • 2023Data-driven surrogate modeling for global sensitivity analysis and the design optimization of medical waste shredding systems12 cited