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Uncertainty Propagation for a Turbulent, Compressible Nozzle Flow Using Stochastic Methods

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2020

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Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes

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2008Quantifying parametric uncertainty in the Rothermel model30 cited

2009Bayesian hierarchical uncertainty quantification by structural equation modeling28 cited

2004Exploitation of Sensitivity Derivatives for Improving Sampling Methods26 cited

2017Multi-Fidelity Uncertainty Analysis in CFD Using Hierarchical Kriging25 cited

2012Error analysis of generalized polynomial chaos for nonlinear random ordinary differential equations21 cited

2009Non-Intrusive Polynomial Chaos for the Stochastic CFD Study of a Supersonic Pressure Probe16 cited

2013A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models16 cited

2013A one-dimensional polynomial chaos method in CFD-Based uncertainty quantification for ship hydrodynamic performance15 cited

2013Implementation of Intrusive Polynomial Chaos in CFD Codes and Application to 3D Navier-Stokes13 cited

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