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An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics
16 references·2 citing·26 second hop
An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics (2022)An uncertainty-quantification framework f…Handbook of Uncertainty Quantification (2016)Handbook of Uncertainty Quant…POLYNOMIAL-CHAOS-BASED KRIGING (2015)POLYNOMIAL-CHAOS-BASED KRIGINGUncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Numerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Comparison of Non-Intrusive P…Efficient Sampling for Non-Intrusive Polynomial Chaos Applications with Multiple Uncertain Input Variables (2007)Efficient Sampling for Non-In…Efficient Collocational Approach for Parametric Uncertainty Analysis (2007)Efficient Collocational Appro…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Terminology for model credibility (1980)Terminology for model credibi…Terminology for model credibility (1979)Terminology for model credibi…Uncertainty quantification and sensitivity analysis of the SST turbulence model applied to VIV (2024)Uncertainty quantification an…UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD) (2021)UQit: A Python package for un…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)Stochastic finite element methods for partial differential equations with random input data (2014)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A new uncertainty importance measure (2006)SALib: An open-source Python library for Sensitivity Analysis (2017)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Design and Analysis of Simulation Experiments (2018)Random forests for global sensitivity analysis: A selective review (2020)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)A unified framework for stochastic optimization (2018)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)A state-of-the-art review on uncertainty analysis of rotor systems (2022)
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347 cited
  • 2007Efficient Collocational Approach for Parametric Uncertainty Analysis309 cited
  • Cited by

    • 2021UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD)14 cited
    • 2024Uncertainty quantification and sensitivity analysis of the SST turbulence model applied to VIV9 cited