A dynamic Smagorinsky model with dynamic determination of the filter width ratio
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Publication:3554511
DOI10.1063/1.1738415zbMath1186.76519OpenAlexW2003764596MaRDI QIDQ3554511
Kenneth E. Jansen, Andrés E. Tejada-Martínez
Publication date: 22 April 2010
Published in: Physics of Fluids (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/e11e842a1f0a1c6d60c8ce22608a84bbed5e0625
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Cites Work
- Unnamed Item
- Construction of commutative filters for LES on unstructured meshes
- Finite element modeling of blood in arteries
- A stabilized finite element method for computing turbulence
- The multiscale formulation of large eddy simulation: Decay of homogeneous isotropic turbulence
- Large eddy simulation of turbulent channel flows by the variational multiscale method
- Turbulence: the filtering approach
- A dynamic subgrid-scale eddy viscosity model
- Filtering techniques for complex geometry fluid flows
- Study of discrete test filters and finite difference approximations for the dynamic subgrid-scale stress model
- Spatial test filters for dynamic model large-eddy simulation with finite elements
- Large eddy simulation and the variational multiscale method
- Dynamic model for LES without test filtering: quantifying the accuracy of Taylor series approximations