NSI-IBP:一种基于分部积分的通用数值奇异积分方法

IF 1.5 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shaolin Liao
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引用次数: 0

摘要

针对涉及奇异积分和近奇异积分的积分问题,提出了一种基于分部积分的数值奇异积分方法(NSI -IBP)。通过一般的分部积分公式,选取可解析积函数逼近原被积函数,可以推导出各种著名的分部积分方法。经过严格的数学推导,将原始的奇异或近奇异积分转化为可以有效计算的非奇异积分,并添加了边界值。更重要的是,NSI-IBP方法即使在奇异被积函数的确切形式未知的情况下也能很好地工作。关于如何选择与原始被积函数非常接近的已知解析积分的适当函数的准则已经概述和解释。给出了应用NSI-IBP的数值公式。对幂律衰减积分、对数函数及其混合积等各种奇异积分进行了数值实验。可以证明,即使不知道确切的奇异函数,也可以达到高达$10^{-15}$的各种相对精度。最后,讨论了涉及标量格林函数的近奇异积分在静电学和计算电磁学中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NSI-IBP: A General Numerical Singular Integral Method via Integration by Parts
A general framework of Numerical Singular Integrals (NSI) method based on the Integration By Parts (IBP) has been developed for integrals involving singular and nearly singular integrands, or NSI-IBP. Through a general integration by parts formula and by choosing some analytically integrable function to approximate the original integrand, various well-known integration by parts methods can be derived. Rigorous mathematical derivations have been performed to transform the original singular or nearly singular integrals into non-singular integrals that can be computed efficiently, along with the boundary values added. What’s more important, the NSI-IBP method works well even when the exact form of the singular integrand is not known. Criteria on how to choose the appropriate function with a known analytical integral that closely approximates the original integrand have been outlined and explained. Numerical recipe has been presented to apply the proposed NSI-IBP. Numerical experiments have been carried out on various singular integrals such as the power-law decaying integrand, the logarithmic function, and their hybrid products. It can be shown that various relative accuracy up to $10^{-15}$ can be achieved, even the exact singular function is not known. Finally, the nearly singular integrals involving the scalar Green’s function have been evaluated for both electrostatics applications and Computational Electromagnetics (CEM) applications.
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
27
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