Title
Numerical comparison of nonlinear subgridscale models via adaptive mesh refinement
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 @a-Laplacian based subgridscale models and discuss the benefits and limitations of different values of @a for some standard benchmark problems for the Navier-Stokes equations.
Year
DOI
Venue
2007
10.1016/j.mcm.2006.02.023
Mathematical and Computer Modelling
Keywords
Field
DocType
adaptive mesh refinement,standard benchmark problem,α -laplacian,nonlinear subgridscale model,large eddy simulation,a posteriori error estimation,viscosity model,navier-stokes equation,different value,posteriori error estimation,subgridscale model,incompressible viscous flow problem,navier–stokes equations,numerical comparison
Mathematical optimization,Nonlinear system,Large eddy simulation,A priori and a posteriori,Adaptive mesh refinement,Incompressible flow,Stokes flow,Mathematics,Laplace operator,Navier–Stokes equations
Journal
Volume
Issue
ISSN
46
11-12
Mathematical and Computer Modelling
Citations 
PageRank 
References 
2
1.91
5
Authors
1
Name
Order
Citations
PageRank
John Paul Roop19411.20