Comparison of two algorithms for locating computational nodes in the complex variable boundary element method (CVBEM)

B. Wilkins, T. Hromadka, Jackson McInvale
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引用次数: 2

Abstract

In this paper, we introduce a new node positioning algorithm (NPA) for determining suitable locations of the computational nodes that are a typical feature of mesh reduction numerical methods for partial differential equations – specifically, the Complex Variable Boundary Element Method (CVBEM). The novelty of the introduced NPA is a ‘position refinement’ procedure, which facilitates the relocation of nodes that are already being used in the current CVBEM model when such relocation reduces the maximum error of the associated CVBEM model. The results of the new NPA (referred to as NPA2) are compared to the results obtained using the recent NPA described in [1] (referred to as NPA1). We compare NPA1 and NPA2 by modeling two example Dirichlet boundary value problems that have been selected due to having regions of extreme curvature in the analytic flow regime that are difficult to model computationally. Consequently, these problems serve as good benchmark problems for testing the efficacy of the current and future NPAs. Our empirical findings suggest that the use of NPA2 can reduce the maximum error of the associated CVBEM model by several orders of magnitude compared to the corresponding result obtained using NPA1.
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复杂变量边界元法(CVBEM)中两种计算节点定位算法的比较
在本文中,我们介绍了一种新的节点定位算法(NPA),用于确定计算节点的合适位置,这是偏微分方程网格简化数值方法的典型特征-特别是复杂变量边界元法(CVBEM)。引入的NPA的新颖之处在于一个“位置细化”过程,它有助于在当前CVBEM模型中已经使用的节点的重新定位,当这种重新定位减少了相关CVBEM模型的最大误差时。将新NPA(称为NPA2)的结果与使用[1]中描述的最新NPA(称为NPA1)获得的结果进行比较。我们通过模拟两个Dirichlet边值问题来比较NPA1和NPA2,这两个例子由于在解析流态中具有极端曲率区域而难以计算建模而被选择。因此,这些问题可作为检验当前和未来国家行动纲领效力的良好基准问题。我们的实证研究结果表明,与使用NPA1获得的相应结果相比,使用NPA2可以将相关CVBEM模型的最大误差降低几个数量级。
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