A POD-Based Reduced-Order Stabilized Crank-Nicolson MFE Formulation for the Non-Stationary Parabolized Navier-Stokes Equations

被引:14
|
作者
Luo, Zhendong [1 ]
机构
[1] North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
基金
美国国家科学基金会;
关键词
error estimate; non-stationary parabolized Navier-Stokes equations; proper orthogonal decomposition method; reduced-order stabilized Crank-Nicolson mixed finite element formulation; PROPER ORTHOGONAL DECOMPOSITION; VISCOUS BURGERS-EQUATION; POSTERIORI ERROR-BOUNDS; APPROXIMATION; MODEL;
D O I
10.3846/13926292.2015.1048758
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We firstly employ a proper orthogonal decomposition (POD) method, Crank-Nicolson (CN) technique, and two local Gaussian integrals to establish a POD-based reduced-order stabilized CN mixed finite element (SCNMFE) formulation with very few degrees of freedom for non-stationary parabolized Navier-Stokes equations. Then, the error estimates of the reduced-order SCNMFE solutions, which are acted as a suggestion for choosing number of POD basis and a criterion for updating POD basis, and the algorithm implementation for the POD-based reduced-order SCN-MFE formulation are provided, respectively. Finally, some numerical experiments are presented to illustrate that the numerical results are consistent with theoretical conclusions. Moreover, it is shown that the reduced-order SCNMFE formulation is feasible and efficient for finding numerical solutions of the non-stationary parabolized Navier-Stokes equations.
引用
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页码:346 / 368
页数:23
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