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Overview of Challenges in Performing Uncertainty Quantification for Fluids Engineering Problems
16 references·0 citing·38 second hop
Overview of Challenges in Performing Uncertainty Quantification for Fluids Engineering Problems (2022)Overview of Challenges in Performing Unce…Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits (2018)Review of Polynomial Chaos-Ba…Uncertainty Quantification and Sensitivity Analysis of SA Turbulence Model Coefficients in Two and Three Dimensions (2017)Uncertainty Quantification an…Uncertainty Quantification of Crosstalk Using Stochastic Reduced Order Models (2016)Uncertainty Quantification of…Uncertainty Quantification of Hypersonic Reentry Flows with Sparse Sampling and Stochastic Expansions (2014)Uncertainty Quantification of…Uncertainty Quantification in Helicopter Performance Using Monte Carlo Simulations (2011)Uncertainty Quantification in…Model validation under epistemic uncertainty (2011)Model validation under episte…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)Point-Collocation Nonintrusiv…Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (2009)Implementation and evaluation…Conceptual and computational basis for the quantification of margins and uncertainty. 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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,945 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2010Verification and Validation in Scientific Computing1,579 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
  • 2009Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models327 cited
  • 2010Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics244 cited
  • 2018Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits121 cited
  • 2011Model validation under epistemic uncertainty95 cited
  • 2007Reduced order models for random functions. Application to stochastic problems94 cited
  • 2014Uncertainty Quantification of Hypersonic Reentry Flows with Sparse Sampling and Stochastic Expansions93 cited
  • 2009Conceptual and computational basis for the quantification of margins and uncertainty.68 cited
  • 2016Uncertainty Quantification of Crosstalk Using Stochastic Reduced Order Models

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62 cited
  • 2017Uncertainty Quantification and Sensitivity Analysis of SA Turbulence Model Coefficients in Two and Three Dimensions42 cited
  • 2011Uncertainty Quantification in Helicopter Performance Using Monte Carlo Simulations32 cited
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