Title
Well-posedness and a numerical study of a regularization model with adaptive nonlinear filtering for incompressible fluid flow.
Abstract
We give a detailed analytical study of a Leray model of incompressible flow that uses nonlinear filtering based on indicator functions. The indicator functions allow for local regularization, instead of global regularization which can over-smooth and dampen out important flow structures. The key to the analysis is the identification of the indicator function as a Nemyskii operator. After proving well-posedness, we provide a numerical study which includes proving optimal convergence of finite element method for the model, as well as several numerical experiments.
Year
DOI
Venue
2016
10.1016/j.camwa.2015.12.012
Computers & Mathematics with Applications
Keywords
Field
DocType
Navier–Stokes Equations,Nonlinear filtering,Finite element
Convergence (routing),Compressibility,Mathematical optimization,Mathematical analysis,Indicator function,Finite element method,Regularization (mathematics),Operator (computer programming),Incompressible flow,Mathematics,Navier–Stokes equations
Journal
Volume
Issue
ISSN
71
11
0898-1221
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Yanzhao Cao19812.20
Song Chen200.34
Leo G. Rebholz314124.08