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A meshless local boundary integral equation method for two-dimensional steady elliptic problems

机译:二维稳态椭圆问题的无网格局部边界积分方程法

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摘要

A novel meshless local boundary integral equation (LBIE) method is proposed for the numerical solution of two-dimensional steady elliptic problems, such as heat conduction, electrostatics or linear elasticity. The domain is discretized by a distribution of boundary and internal nodes. From this nodal points’ cloud a “background” mesh is created by a triangulation algorithm. A local form of the singular boundary integral equation of the conventional boundary elements method is adopted. Its local form is derived by considering a local domain of each node, comprising by the union of neighboring “background” triangles. Therefore, the boundary shape of this local domain is a polygonal closed line. A combination of interpolation schemes is taken into account. Interpolation of boundary unknown field variables is accomplished through boundary elements’ shape functions. On the other hand, the Radial Basis Point Interpolation Functions method is employed for interpolating the unknown interior fields. Essential boundary conditions are imposed directly due to the Kronecker delta-function property of the boundary elements’ interpolation functions. After the numerical evaluation of all boundary integrals, a banded stiffness matrix is constructed, as in the finite elements method. Several potential and elastostatic benchmark problems in two dimensions are solved numerically. The proposed meshless LBIE method is also compared with other numerical methods, in order to demonstrate its efficiency, accuracy and convergence.
机译:提出了一种新颖的无网格局部边界积分方程(LBIE)方法,用于二维稳态椭圆问题的数值求解,例如热传导,静电或线性弹性。通过边界和内部节点的分布离散域。从该节点的云中,通过三角剖分算法创建了“背景”网格。采用传统边界元方法的奇异边界积分方程的局部形式。通过考虑每个节点的局部域(包括相邻的“背景”三角形的并集)来推导其局部形式。因此,该局部区域的边界形状是多边形闭合线。考虑到插值方案的组合。边界未知字段变量的插值是通过边界元素的形状函数完成的。另一方面,采用径向基点插值函数方法对未知内部场进行插值。边界元素的插值函数的Kronecker delta-function属性直接施加了基本边界条件。在对所有边界积分进行数值评估之后,像有限元方法一样,构造了带状刚度矩阵。用数值方法解决了二维中的几个潜在和弹性静态基准问题。提出的无网格LBIE方法也与其他数值方法进行了比较,以证明其效率,准确性和收敛性。

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