Electric potential and field calculation of charged BEM triangles and rectangles by Gaussian cubature

F. Gluck, D. Hilk
{"title":"Electric potential and field calculation of charged BEM triangles and rectangles by Gaussian cubature","authors":"F. Gluck, D. Hilk","doi":"10.2528/PIERB17011107","DOIUrl":null,"url":null,"abstract":"It is a widely held view that analytical integration is more accurate than the numerical one. In some special cases, however, numerical integration can be more advantageous than analytical integration. In our paper we show this benefit for the case of electric potential and field computation of charged triangles and rectangles applied in the boundary element method (BEM). Analytical potential and field formulas are rather complicated (even in the simplest case of constant charge densities), they have usually large computation times, and at field points far from the elements they suffer from large rounding errors. On the other hand, Gaussian cubature, which is an efficient numerical integration method, yields simple and fast potential and field formulas that are very accurate far from the elements. The simplicity of the method is demonstrated by the physical picture: the triangles and rectangles with their continuous charge distributions are replaced by discrete point charges, whose simple potential and field formulas explain the higher accuracy and speed of this method. We implemented the Gaussian cubature method for the purpose of BEM computations both with CPU and GPU, and we compare its performance with two different analytical integration methods. The ten different Gaussian cubature formulas presented in our paper can be used for arbitrary high-precision and fast integrations over triangles and rectangles.","PeriodicalId":8424,"journal":{"name":"arXiv: Computational Physics","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2528/PIERB17011107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

It is a widely held view that analytical integration is more accurate than the numerical one. In some special cases, however, numerical integration can be more advantageous than analytical integration. In our paper we show this benefit for the case of electric potential and field computation of charged triangles and rectangles applied in the boundary element method (BEM). Analytical potential and field formulas are rather complicated (even in the simplest case of constant charge densities), they have usually large computation times, and at field points far from the elements they suffer from large rounding errors. On the other hand, Gaussian cubature, which is an efficient numerical integration method, yields simple and fast potential and field formulas that are very accurate far from the elements. The simplicity of the method is demonstrated by the physical picture: the triangles and rectangles with their continuous charge distributions are replaced by discrete point charges, whose simple potential and field formulas explain the higher accuracy and speed of this method. We implemented the Gaussian cubature method for the purpose of BEM computations both with CPU and GPU, and we compare its performance with two different analytical integration methods. The ten different Gaussian cubature formulas presented in our paper can be used for arbitrary high-precision and fast integrations over triangles and rectangles.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用高斯法计算带电边界元三角形和矩形的电势和电场
人们普遍认为解析积分比数值积分更精确。然而,在某些特殊情况下,数值积分可能比解析积分更有利。在本文中,我们展示了在边界元法(BEM)中对带电三角形和矩形的电势和电场计算的这种好处。解析势和场公式是相当复杂的(即使在最简单的恒定电荷密度的情况下),它们通常有很大的计算时间,并且在远离元素的场点上,它们遭受很大的舍入误差。另一方面,高斯法是一种有效的数值积分方法,它可以得到简单、快速的势和场的计算公式,这些公式在远离单元的地方是非常精确的。物理图表明了该方法的简便性:将连续电荷分布的三角形和矩形替换为离散的点电荷,其简单的势和场公式解释了该方法较高的精度和速度。我们在CPU和GPU上分别实现了高斯立方化方法,并比较了两种不同的解析积分方法的性能。本文提出的十种不同的高斯计算公式可用于任意高精度、快速的三角形和矩形积分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modeling and computation for non-equilibrium gas dynamics: Beyond single relaxation time kinetic models Space-time computation and visualization of the electromagnetic fields and potentials generated by moving point charges Sparse Gaussian process potentials: Application to lithium diffusivity in superionic conducting solid electrolytes Reduced ionic diffusion by the dynamic electron–ion collisions in warm dense hydrogen HL-LHC Computing Review: Common Tools and Community Software
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1