Local RBFs Based Collocation Methods for Unsteady Navier-Stokes Equations

Local RBFs Based Collocation Methods for Unsteady Navier-Stokes Equations

Year:    2015

Author:    Xueying Zhang, Xin An, C. S. Chen

Advances in Applied Mathematics and Mechanics, Vol. 7 (2015), Iss. 4 : pp. 430–440

Abstract

The local RBFs based collocation methods (LRBFCM) is presented to solve two-dimensional incompressible Navier-Stokes equations. In avoiding the ill-conditioned problem, the weight coefficients of linear combination with respect to the function values and its derivatives can be obtained by solving low-order linear systems within local supporting domain. Then, we reformulate local matrix in the global and sparse matrix. The obtained large sparse linear systems can be directly solved instead of using more complicated iterative method. The numerical experiments have shown that the developed LRBFCM is suitable for solving the incompressible Navier-Stokes equations with high accuracy and efficiency.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.2013.m337

Advances in Applied Mathematics and Mechanics, Vol. 7 (2015), Iss. 4 : pp. 430–440

Published online:    2015-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    11

Keywords:   

Author Details

Xueying Zhang

Xin An

C. S. Chen

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