Approximate Wall Boundary Conditions in the Large-Eddy Simulation of High Reynolds Number Flow
By William H. Cabot, Parviz Moin. 2000
503 citations recorded by the source corpus.
Subfields: Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/58d043368b321a9fde7e90980fc2324a9e5d5ca0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Sanjiva K. Lele
- Johan Larsson
- Soshi Kawai
- Lars Davidson
- Meng Wang
- Haecheon Choi
- Jonathan B. Freund
- Elias Balaras
Citations in the corpus
- COMPUTATIONAL PREDICTION OF FLOW-GENERATED SOUND (2006, methodology): “If part of the Reynolds stress is represented in the wall model equations, the RANS eddy viscosity needs to be reduced to match the total stress at the RANS/LES interface (Cabot & Moin 2000, Wang & Moin 2002).”
- The inner–outer layer interface in large-eddy simulations with wall-layer models (2003, background): “Cabot and Moin (2000) and Piomelli and Balaras (2002).Here, only a brief summary will be given.In general, wall-layer models (also known as ‘‘approximate boundary conditions’’) can be of two types: equilibrium laws and zonal models.Equilibrium laws assume that the dynamics of the wall-layer are uni”
- Runup and rundown generated by three-dimensional sliding masses (2005, methodology): “The eddy viscosity νt = µt/ρ is obtained from a Reynolds-averaged Navier–Stokes type mixing-length eddy viscosity model with near-wall damping: νt ν = κy+w (1 − exp(−y+w /A))2, (2.17) where y+w =ywu∗/ν is the distance to the wall in wall units, κ =0.41 and A=19 (Cabot & Moin 2000).”
- Wall-modeling in large eddy simulation: Length scales, grid resolution, and accuracy (2012, methodology): “The reasoning up to this point is simply a repeat of the arguments given by Cabot & Moin (1999), Nicoud et al. (2001) and others to argue that wall-models are unavoidably affected by numerical and subgrid modeling errors, but from here on we depart in a different direction.”
- Grid-point requirements for large eddy simulation: Chapman’s estimates revisited (2012, background): “…used to resolve the cubic computational volume of δ3 has been in the range 1200 ∼ 33000 (nx = 5 ∼ 32, ny = 16 ∼ 32 and nz = 15 ∼ 32) (Spalart et al. 1997; Cabot & Moin 1999; Nicoud et al. 2001; Piomelli & Balaras 2002; Keating & Piomelli 2006; Pantano et al. 2008; Davidson 2009; Kawai & Larsson…”