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A modification of the method of fundamental solutions for solving 2D problems with concave and complicated domains

机译:用凹形和复杂域解决2D问题的基本解决方案的修改

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摘要

To solve various problems in complicated and concave domains by the method of fundamental solutions (MFS), it is required to consider a large number of source and collocation points that increases the computational time of the analysis. This paper suggests a modification to the MFS, which can make it more efficient and reliable for solving applied problems in complicated domains. In the proposed method, each pseudo source is converted to two or more number of sub-sources with equal intensities. Therefore, the total number of sources is increased while the number of unknowns is not increased. By this approach we will be able to reduce the distance between the main and the pseudo boundaries and therefore modeling the problems with complicated boundaries can be performed effectively. The proposed method is investigated for a scalar field problem, i.e. the Laplace equation, and a vector field problem, i.e. elastostatic problem. It is shown that by using the proposed method, in addition to reducing the calculation time, the condition number of the coefficient matrix also significantly decreases. By solving several numerical example problems, it is observed that the presented method can obtain accurate solutions by using a small number of collocation points.
机译:通过基本解决方案(MFS)的方法来解决复杂和凹形域中的各种问题,需要考虑增加分析计算时间的大量源和搭配点。本文表明对MFS的修改,可以使其更有效可靠地解决复杂域中的应用问题。在所提出的方法中,每个伪源被转换为具有相等强度的两个或多个子源。因此,源总数增加,而未知数的数量没有增加。通过这种方法,我们将能够减少主要和伪界限之间的距离,因此可以有效地执行复杂边界的问题。研究了所提出的方法,用于标量场问题,即拉普拉斯方程和矢量场问题,即弹性问题。结果表明,通过使用所提出的方法,除了减小计算时间之外,系数矩阵的条件数也显着降低。通过求解几个数值示例问题,观察到所示的方法可以通过使用少量的搭配点来获得准确的解决方案。

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