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Uncertainty Quantification Applied to the k-epsilon Model of Turbulence Using the Probabilistic Collocation Method
5 references·1 citing·19 second hop
Uncertainty Quantification Applied to the k-epsilon Model of Turbulence Using the Probabilistic Collocation Method (2008)Uncertainty Quantification Applied to the…Probabilistic Collocation: An Efficient Non-Intrusive Approach for Arbitrarily Distributed Parametric Uncertainties (2007)Probabilistic Collocation: An…A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Stochastic Collocation Meth…A Non-Intrusive Polynomial Chaos Method For Uncertainty Propagation in CFD Simulations (2006)A Non-Intrusive Polynomial Ch…Stochastic Approaches to Uncertainty Quantification in CFD Simulations (2005)Stochastic Approaches to Unce…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Comparison of the Point-Collocation Non-Intrusive Polynomial (NIPC) and Non-Intrusive Spectral Projection (NISP) Methods for the γ − R θ Transition Model (2019)Comparison of the Point-Collo…Verification and Validation in Computational Science and Engineering (1998)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods (2007)Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)Stochastic finite element methods for partial differential equations with random input data (2014)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Efficient Sampling for Non-Intrusive Polynomial Chaos Applications with Multiple Uncertain Input Variables (2007)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Introduction to Uncertainty Quantification (2015)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Efficient Uncertainty Quantification Using Gradient-Enhanced Kriging (2009)Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations (2014)A robust and efficient stepwise regression method for building sparse polynomial chaos expansions (2016)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data1,396 cited
  • 2006A Non-Intrusive Polynomial Chaos Method For Uncertainty Propagation in CFD Simulations335 cited
  • 2005Stochastic Approaches to Uncertainty Quantification in CFD Simulations281 cited
  • 2007Probabilistic Collocation: An Efficient Non-Intrusive Approach for Arbitrarily Distributed Parametric Uncertainties168 cited

Cited by

  • 2019Comparison of the Point-Collocation Non-Intrusive Polynomial (NIPC) and Non-Intrusive Spectral Projection (NISP) Methods for the γ − R θ Transition Model9 cited

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