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Title: A new discretization method and its application to solve incompressible Navier-Stokes equations
Authors: Shu, C. 
Fan, L.F.
Issue Date: 2001
Citation: Shu, C., Fan, L.F. (2001). A new discretization method and its application to solve incompressible Navier-Stokes equations. Computational Mechanics 27 (4) : 292-301. ScholarBank@NUS Repository.
Abstract: A new numerical method is presented in this paper. This method directly solves partial differential equations in the Cartesian coordinate system. It can be easily applied to solve irregular domain problems without introducing the coordinate transformation technique. The concept of the present method is different from the conventional discretization methods. Unlike the conventional numerical methods where the discrete form of the differential equation only involves mesh points inside the solution domain, the new discretization method reduces the differential equation into a discrete form which may involve some points outside the solution domain. The functional values at these points are computed by the approximate form of the solution along a vertical or horizontal line. This process is called extrapolation. The form of the solution along a line can be approximated by Lagrange interpolated polynomial using all the points on the line or by low order polynomial using 3 local points. In this paper, the proposed new discretization method is first validated by its application to solve sample linear and nonlinear differential equations. It is demonstrated that the present method can easily treat different solution domains without any additional programming work. Then the method is applied to simulate incompressible flows in a smooth expansion channel by solving Navier-Stokes equations. The numerical results obtained by the new discretization method agree very well with available data in the literature. All the numerical examples showed that the present method is very efficient, which is suitable for solving irregular domain problems.
Source Title: Computational Mechanics
ISSN: 01787675
DOI: 10.1007/s004660100240
Appears in Collections:Staff Publications

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