Pages that link to "Item:Q2808028"
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The following pages link to A Sparse Grid Method for Bayesian Uncertainty Quantification with Application to Large Eddy Simulation Turbulence Models (Q2808028):
Displaying 7 items.
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach (Q525932) (← links)
- An efficient approach for quantifying parameter uncertainty in the SST turbulence model (Q667443) (← links)
- An efficient Bayesian uncertainty quantification approach with application to \(k\)-\(\omega\)-\(\gamma\) transition modeling (Q1645433) (← links)
- Bayesian uncertainty quantification of turbulence models based on high-order adjoint (Q1645947) (← links)
- Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials (Q1668783) (← links)
- Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes-Darcy equations (Q2074875) (← links)
- Physics-informed covariance kernel for model-form uncertainty quantification with application to turbulent flows (Q2331882) (← links)
