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Framework for Quantification and Risk Analysis for Layered Uncertainty using Optimization: NASA UQ Challenge
16 references·0 citing·48 second hop
Framework for Quantification and Risk Analysis for Layered Uncertainty using Optimization: NASA UQ Challenge (2014)Framework for Quantification and Risk Ana…NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation (2015)NASA Uncertainty Quantificati…The NASA Langley Multidisciplinary Uncertainty Quantification Challenge (2014)The NASA Langley Multidiscipl…Optimization Based Algorithms for Uncertainty Propagation Through Functions With Multidimensional Output Within Evidence Theory (2012)Optimization Based Algorithms…Revue sur l'analyse de sensibilité globale de modèles numériques (2011)Revue sur l'analyse de sensib…Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models (2010)Multivariate sensitivity anal…Tradeoff of Uncertainty Reduction Mechanisms for Reducing Weight of Composite Laminates (2006)Tradeoff of Uncertainty Reduc…Numerical Methods for Propagating Imprecise Uncertainty (2006)Numerical Methods for Propaga…Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data (2005)Possibility-Based Design Opti…Selecting Probabilistic Approaches for Reliability-Based Design Optimization (2004)Selecting Probabilistic Appro…Challenge problems: uncertainty in system response given uncertain parameters (2004)Challenge problems: uncertain…Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty (2004)Analytical Variance-Based Glo…Comparison of Probability and Possibility for Design Against Catastrophic Failure Under Uncertainty (2003)Comparison of Probability and…Sensitivity Anaysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ing…Analysis of variance designs for model output (1999)Analysis of variance designs …A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Structural Reliability under Incomplete Probability Information (1986)Convex Models of Uncertainty in Applied Mechanics (1990)Decisions with Multiple Objectives (1993)The Value of Using Imprecise Probabilities in Engineering Design (2005)Decision maps: A framework for multi-criteria decision support under severe uncertainty (2011)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sensitivity analysis: A review of recent advances (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Empirical Model Building and Response Surfaces (1988)Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion (2014)Sensitivity analysis for multidimensional and functional outputs (2014)Human-oriented design of collaborative robots (2017)Structural reliability under combined random load sequences (1978)Response Surface Methodology (1996)Adaptive probability analysis using an enhanced hybrid mean value method (2004)Methods of structural safety (2006)Recent advances in non-probabilistic approaches for non-deterministic dynamic finite element analysis (2006)Probabilistic uncertainty analysis by mean-value first order Saddlepoint Approximation (2007)A mathematical theory of evidence (1977)Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability (1994)Uncertainties in risk analysis: Six levels of treatment (1996)An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Imprecise probabilities in engineering analyses (2013)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Quality Engineering Using Robust Design (1991)Blind Kriging: A New Method for Developing Metamodels (2008)Efficient structural reliability analysis method based on advanced Kriging model (2014)Surrogate-assisted global sensitivity analysis: an overview (2020)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)Handbook on Constructing Composite Indicators (2005)Tools for Composite Indicators Building (2005)Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty (1997)Combination of Evidence in Dempster-Shafer Theory (2002)Hybrid Analysis Method for Reliability-Based Design Optimization (2003)Integration of Possibility-Based Optimization and Robust Design for Epistemic Uncertainty (2006)Application of bootstrap method in conservative estimation of reliability with limited samples (2009)A Novel Second-Order Reliability Method (SORM) Using Noncentral or Generalized Chi-Squared Distributions (2012)On the Experimental Attainment of Optimum Conditions (1951)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. 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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,945 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 1999Analysis of variance designs for model output648 cited
  • 2000Sensitivity Anaysis as an Ingredient of Modeling607 cited
  • 2004Challenge problems: uncertainty in system response given uncertain parameters570 cited
  • 2010Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models243 cited
  • 2004Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty230 cited
  • 2004Selecting Probabilistic Approaches for Reliability-Based Design Optimization216 cited
  • 2003Comparison of Probability and Possibility for Design Against Catastrophic Failure Under Uncertainty133 cited
  • 2005Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data101 cited
  • 2014The NASA Langley Multidisciplinary Uncertainty Quantification Challenge77 cited
  • 2011Revue sur l'analyse de sensibilité globale de modèles numériques48 cited
  • 2006Numerical Methods for Propagating Imprecise Uncertainty40 cited
  • 2006Tradeoff of Uncertainty Reduction Mechanisms for Reducing Weight of Composite Laminates

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32 cited
  • 2012Optimization Based Algorithms for Uncertainty Propagation Through Functions With Multidimensional Output Within Evidence Theory25 cited
  • 2015NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation24 cited
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