Abstract

We propose a simple extension of the two-dimensional method of fundamental solutions (MFS) to a two-dimensional like MFS for the numerical solution of the three-dimensional Laplace equation in an arbitrary interior domain. In the directional MFS (DMFS) the directors are planar orientations, which can take the geometric anisotropy of the problem domain into account, and more importantly the order of the logarithmic singularity with $\ln R$ of the new fundamental solution is reduced than that of the conventional three-dimensional fundamental solution with singularity $1/r$. Some numerical examples are used to validate the performance of the DMFS.

Highlights

  • We propose a simple extension of the two-dimensional method of fundamental solutions (MFS) to a two-dimensional like MFS for the numerical solution of the three-dimensional Laplace equation in an arbitrary interior domain

  • In this paper we extend the method of fundamental solutions (MFS) for the two-dimensional Laplace equation to a MFS for the three-dimensional Laplace equation:

  • We have proposed by using a two-dimensional like MFS to treat the Dirichlet problems of the three-dimensional Laplace equation in arbitrary domain

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Summary

Introduction

In this paper we extend the method of fundamental solutions (MFS) for the two-dimensional Laplace equation to a MFS for the three-dimensional Laplace equation:. The method of fundamental solutions (MFS) is one of the most powerful meshless techniques that belongs to the category as the boundary-type meshless methods, which has been applied to many engineering problems (Karageorghis and Fairweather, 1998; Tadeu et al, 2010; Lin et al, 2014; Lin et al 2016). Vol 9, No 6; 2017 purpose of this paper is to develop a two-dimensional like MFS in terms of directors for the three-dimensional Laplace equation, which can reduce the singularity. Liu and Kuo (2016) extended the idea to solve the multi-dimensional wave equation by the directional Trefftz method.

The Directional MFS
Example 1
Example 2
Example 3
Example 4
Example 5
Conclusions
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