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Numerical comparison of nonlinear subgridscale models via adaptive mesh refinement
Authors:John Paul Roop  
Affiliation:aDepartment of Mathematics, Virginia Tech, Blacksburg, VA 24061-0123, United States
Abstract:
In this paper, we provide a method of evaluating the efficacy of nonlinear subgridscale models for use in the large eddy simulation of incompressible viscous flow problems. We compare subgridscale “artificial” viscosity models using a posteriori error estimation and adaptive mesh refinement. Specifically, we compare α-Laplacian based subgridscale models and discuss the benefits and limitations of different values of α for some standard benchmark problems for the Navier–Stokes equations.
Keywords:Navier–  Stokes equations   Large eddy simulation     mml42"  >  text-decoration:none   color:black"   href="  /science?_ob=MathURL&_method=retrieve&_udi=B6V0V-4NN6TCY-1&_mathId=mml42&_user=10&_cdi=5656&_rdoc=13&_acct=C000054348&_version=1&_userid=3837164&md5=1cb7a4baff15438b820c62d52b63094f"   title="  Click to view the MathML source"   alt="  Click to view the MathML source"  >α  -Laplacian   A posteriori error estimation   Adaptive mesh refinement
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