Pages that link to "Item:Q1668426"
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The following pages link to Bayesian calibration of the constants of the \(k-\varepsilon\) turbulence model for a CFD model of street canyon flow (Q1668426):
Displaying 10 items.
- Bayesian estimates of parameter variability in the \(k-\varepsilon\) turbulence model (Q348554) (← links)
- Fixed inducing points online Bayesian calibration for computer models with an application to a scale-resolving CFD simulation (Q2124026) (← links)
- Multifidelity probability estimation via fusion of estimators (Q2221438) (← links)
- Output-based adaptive aerodynamic simulations using convolutional neural networks (Q2245362) (← links)
- Numerical simulation of the effect of wind barrier openings on high-speed wind flow around a heliostat field (Q2308220) (← links)
- Simplex-stochastic collocation method with improved scalability (Q2375010) (← links)
- Statistical emulation of landslide-induced tsunamis at the Rockall Bank, NE Atlantic (Q4647196) (← links)
- Iterative method for tuning complex simulation code (Q5867441) (← links)
- Bayesian interface technique-based inverse estimation of closure coefficients of standard \(k-\epsilon\) turbulence model by limiting the number of DNS data points for flow over a periodic hill (Q6569724) (← links)
- Optimization of Reynolds stress model coefficients at multiple discrete flow regions for three-dimensional realizations of fractal-generated turbulence (Q6572766) (← links)