Pages that link to "Item:Q1645947"
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The following pages link to Bayesian uncertainty quantification of turbulence models based on high-order adjoint (Q1645947):
Displaying 4 items.
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach (Q525932) (← links)
- Regularized ensemble Kalman methods for inverse problems (Q781982) (← links)
- Bayesian calibration of the constants of the \(k-\varepsilon\) turbulence model for a CFD model of street canyon flow (Q1668426) (← links)
- Determining \textit{a priori} a RANS model's applicable range via global epistemic uncertainty quantification (Q2245534) (← links)
