A higher order compact finite difference algorithm for solving the incompressible Navier-Stokes equations

被引:65
|
作者
Tian, Zhenfu [1 ,2 ]
Liang, Xian [3 ]
Yu, Peixiang [1 ,2 ]
机构
[1] Fudan Univ, Dept Engn Sci & Mech, Shanghai 200433, Peoples R China
[2] Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
[3] Chinese Acad Sci, Inst Mech, LHD, Beijing 100190, Peoples R China
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金; 中国博士后科学基金;
关键词
Navier-Stokes equations; higher order; compact finite difference; primitive variable; projection method; NUMERICAL-SOLUTION; PROJECTION METHOD; SCHEME; 4TH-ORDER; FLOW; FORMULATION;
D O I
10.1002/nme.3184
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
On the basis of the projection method, a higher order compact finite difference algorithm, which possesses a good spatial behavior, is developed for solving the 2D unsteady incompressible Navier-Stokes equations in primitive variable. The present method is established on a staggered grid system and is at least third-order accurate in space. A third-order accurate upwind compact difference approximation is used to discretize the non-linear convective terms, a fourth-order symmetrical compact difference approximation is used to discretize the viscous terms, and a fourth-order compact difference approximation on a cell-centered mesh is used to discretize the first derivatives in the continuity equation. The pressure Poisson equation is approximated using a fourth-order compact difference scheme constructed currently on the nine-point 2D stencil. New fourth-order compact difference schemes for explicit computing of the pressure gradient are also developed on the nine-point 2D stencil. For the assessment of the effectiveness and accuracy of the method, particularly its spatial behavior, a problem with analytical solution and another one with a steep gradient are numerically solved. Finally, steady and unsteady solutions for the lid-driven cavity flow are also used to assess the efficiency of this algorithm. Copyright (C) 2011 John Wiley & Sons, Ltd.
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页码:511 / 532
页数:22
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