Pages that link to "Item:Q2308784"
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The following pages link to A random matrix approach for quantifying model-form uncertainties in turbulence modeling (Q2308784):
Displaying 16 items.
- A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling (Q822137) (← links)
- Low-dimensional reduced-order models for statistical response and uncertainty quantification: barotropic turbulence with topography (Q1691154) (← links)
- Approach for uncertainty of turbulence modeling based on data assimilation technique (Q2015965) (← links)
- Quantifying turbulence model uncertainty in Reynolds-averaged Navier-Stokes simulations of a pin-fin array. I: Flow field (Q2019928) (← links)
- Uncertainty quantification for data-driven turbulence modelling with Mondrian forests (Q2124898) (← links)
- Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo (Q2176854) (← links)
- Data-driven modelling of the Reynolds stress tensor using random forests with invariance (Q2180004) (← links)
- Determining \textit{a priori} a RANS model's applicable range via global epistemic uncertainty quantification (Q2245534) (← links)
- Physics-informed covariance kernel for model-form uncertainty quantification with application to turbulent flows (Q2331882) (← links)
- Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systems (Q5170972) (← links)
- Numerical Solution of Free Stochastic Differential Equations (Q6070723) (← links)
- Uncertainty quantification analysis for simulation of wakes in wind-farms using a stochastic RANS solver, compared with a deep learning approach (Q6100092) (← links)
- Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification (Q6158540) (← links)
- Static behavior prediction of concrete truss arch bridge based on dynamic test data and Bayesian inference (Q6551612) (← links)
- A variational data assimilation approach for sparse velocity reference data in coarse RANS simulations through a corrective forcing term (Q6557788) (← links)
- Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady RANS simulations (Q6557815) (← links)
