TY - JOUR
T1 - A bounded artificial viscosity large eddy simulation model
AU - Borggaard, Jeff
AU - Iliescu, Traian
AU - Roop, John
PY - 2008
Y1 - 2008
N2 - In this paper, we present a rigorous numerical analysis for a bounded artificial viscosity model (τ =μδσ α(δ∥▽ su∥F) ▽s u) for the numerical simulation of turbulent flows. In practice, the commonly used Smagorinsky model (τ =(cs δ)2 u∥▽su∥F) ▽s u) is overly dissipative and yields unphysical results. To date, several methods for "clipping" the Smagorinsky viscosity have proven useful in improving the physical characteristics of the simulated flow. However, such heuristic strategics strongly rely upon a priori knowledge of the flow regime. The bounded artificial viscosity model relics on a highly nonlinear, but monotone and smooth, semilincar elliptic form for the artificial viscosity. For this model, we have introduced a variational computational strategy, provided finite element error convergence estimates, and included several computational examples indicating its improvement on the overly diffusive Smagorinsky model. © 2009 Society for Industrial and Applied Mathematics.
AB - In this paper, we present a rigorous numerical analysis for a bounded artificial viscosity model (τ =μδσ α(δ∥▽ su∥F) ▽s u) for the numerical simulation of turbulent flows. In practice, the commonly used Smagorinsky model (τ =(cs δ)2 u∥▽su∥F) ▽s u) is overly dissipative and yields unphysical results. To date, several methods for "clipping" the Smagorinsky viscosity have proven useful in improving the physical characteristics of the simulated flow. However, such heuristic strategics strongly rely upon a priori knowledge of the flow regime. The bounded artificial viscosity model relics on a highly nonlinear, but monotone and smooth, semilincar elliptic form for the artificial viscosity. For this model, we have introduced a variational computational strategy, provided finite element error convergence estimates, and included several computational examples indicating its improvement on the overly diffusive Smagorinsky model. © 2009 Society for Industrial and Applied Mathematics.
UR - https://dx.doi.org/10.1137/060656164
U2 - 10.1137/060656164
DO - 10.1137/060656164
M3 - Article
VL - 47
JO - SIAM Journal on Numerical Analysis
JF - SIAM Journal on Numerical Analysis
IS - Issue 1
ER -