Well-posedness and a numerical study of a regularization model with adaptive nonlinear filtering for incompressible fluid flow

被引:1
|
作者
Cao, Yanzhao [1 ,2 ]
Chen, Song [3 ]
Rebholz, Leo G. [4 ]
机构
[1] Jilin Univ, Sch Math, Jilin, Peoples R China
[2] Auburn Univ, Dept Math & Stat, Auburn, AL 36849 USA
[3] Univ Wisconsin, Dept Math, La Crosse, WI 54601 USA
[4] Clemson Univ, Dept Math Sci, Clemson, SC 29634 USA
关键词
Navier-Stokes Equations; Nonlinear filtering; Finite element; FINITE-ELEMENTS; STOKES;
D O I
10.1016/j.camwa.2015.12.012
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2192 / 2205
页数:14
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