Minimum-dissipation model for large-eddy simulation in OpenFoam -A study on channel flow, periodic hills and flow over cylinder
Jing Sun, Roel Verstappen

TL;DR
This study evaluates the minimum-dissipation sub-grid model in OpenFOAM for turbulent flows, demonstrating its accuracy and efficiency across channel, cylinder, and hill flows, with particular emphasis on discretization schemes and mesh resolution.
Contribution
It introduces the static QR model with a specific constant, showing its effectiveness without wall damping and highlighting the benefits of symmetry-preserving discretizations in LES simulations.
Findings
QR model performs as well as dynamic models with lower cost
Symmetry-preserving discretization outperforms standard methods at high Reynolds numbers
Model constant C=0.024 yields optimal accuracy across flow cases
Abstract
The minimum-dissipation model is applied to turbulent channel flows up to , flow past a circular cylinder at , and flow over periodic hills at . Numerical simulations are performed in OpenFOAM which is based on finite volume methods for discretizing partial differential equations. We use both symmetry-preserving discretizations and standard second-order accurate discretization methods in OpenFOAM on structured meshes. The results are compared to DNS and experimental data. The results of channel flow mainly demonstrate the static QR model performs equally well as the dynamic models while reducing the computational cost. The model constant gives the most accurate prediction, and the contribution of the sub-grid model decreases with the increase of the mesh resolution and becomes very small (less than 0.2 molecular viscosity) if the fine…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLattice Boltzmann Simulation Studies · Fluid Dynamics and Turbulent Flows · Hydrology and Sediment Transport Processes
