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Accuracy improvement of collocation method by using the over-range collocation points for 2-D and 3-D problems

机译:通过使用2-D和3-D问题的超范围配置点来提高配置方法的精度

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It has been shown that the significance of the positivity conditions in the collocation methods (CM), and the violation of the positivity conditions can significantly result in a large error in the numerical solution. For boundary points, however, the positivity conditions cannot be satisfied, obviously. To overcome the demerit of the CM, the over-range collocation method (ORCM) has been proposed. In the ORCM, some over-range collocation points are introduced which are located at the outside of the domain of an analyzed body, and at the over-range collocation points no satisfaction of any governing partial differential equation or boundary condition is needed. In this paper, it is shown that the positivity conditions of boundary points in the ORCM are satisfied by calculated results on the positivity conditions, while the positivity conditions of boundary points in the CM are not satisfied. The boundary value problems on the 2-D and 3-D Poisson’s equations and the 3-D Helmholtz’s equation are analyzed by using the ORCM and the CM. The numerical solutions by using both the ORCM and the CM are compared with the exact solutions. The relative errors by using the ORCM are smaller than those by using the CM, for both the unknown variables and their derivatives of 2-D problems and for the unknown variables of 3-D problems, and the relative errors of the unknown's derivatives of 3-D problems by using the ORCM are about same as those by using the CM. Convergence studies in the numerical examples show that the ORCM possesses good convergence for both the unknown variables and their derivatives. Because the ORCM does not demand any specific type of partial differential equations, it is concluded that the ORCM promises the wide engineering applications.
机译:已经表明,在配置方法(CM)中,正条件的重要性以及对正条件的违反会显着导致数值解中的较大误差。但是,对于边界点,显然不能满足正条件。为了克服CM的缺点,已经提出了超范围配置方法(ORCM)。在ORCM中,引入了一些超范围的配置点,它们位于被分析体的域的外部,并且在超范围的配置点上,不需要满足任何控制性偏微分方程或边界条件。本文通过对正性条件的计算结果表明,ORCM中边界点的正性条件得到满足,而CM中边界点的正性条件不满足。使用ORCM和CM分析了2-D和3-D泊松方程和3-D亥姆霍兹方程的边值问题。将同时使用ORCM和CM的数值解与精确解进行比较。对于2D问题的未知变量及其导数和3D问题的未知变量,以及3的未知导数的相对误差,使用ORCM的相对误差小于使用CM的相对误差。使用ORCM的-D问题与使用CM的问题大致相同。数值例子的收敛性研究表明,ORCM对未知变量及其导数均具有良好的收敛性。由于ORCM不需要任何特定类型的偏微分方程,因此可以得出结论,ORCM有望在工程上得到广泛应用。

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