高阶基在计算电磁学中的应用

T. Sarkar
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摘要

这门短期课程的目的是说明计算电磁学中高阶基的基本原理。基本原理将通过它在解积分方程和有限元中的应用来说明。基本上,使用高阶基不仅提供了电流的连续性,而且在积分方程设置中也提供了电荷的连续性。这导致击穿在非常低的频率部分消除。此外,近似给定问题的未知数数量也大大减少了。此外,在封闭体分析中,内部谐振频率处的缺陷是高度局部化的,不会严重影响解,因此可以使用EFIE公式而不是CFIE公式。通常,对于高阶基,每波长平方的表面积只需要10 - 20个未知数,这导致需要求解的阻抗矩阵尺寸减少一个数量级。因此,需要超级计算机才能解决的问题,在笔记本电脑上就可以很容易地解决。此外,用电大的问题可以很容易地处理使用适度的计算机资源,而同样的问题不能解决在大型计算机上使用分段基,因为矩阵大小将非常大!例如,如果一个人想分析一个金属立方体,每个维度是波长的四倍,在分段的基础上,每个波长使用10个分段,总共将导致大约57,600个未知数,而在高阶的基础上,它将使用大约2700个未知数,在笔记本电脑上的总解决时间将不到一分钟!当将这种方法应用于有限元法时,不仅在计算过程中实现了类似的改进,而且收敛速度也大大加快。本报告还讨论了高阶基的许多其他有趣和显著的特征。
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The use of a Higher Order Basis in Computational Electromagnetics
The objective of this short course is to illustrate the basic principles of a higher order basis in computational electromagnetics. The basic principles will be illustrated through its application in the solution of integral equations and in finite elements. Basically use of a higher order basis not only provides the continuity of the current but also of the charge in an integral equation setting. This results in partial elimination of the breakdown at very low frequency. Also, the number of unknowns to approximate a given problem is dramatically reduced. In addition, the defect at an internal resonant frequency in the analysis of a closed body is highly localized without seriously affecting the solution and therefore one can use an EFIE formulation rather than a CFIE. Typically, for a higher order basis, only 10�20 unknowns per wavelength squared of surface area are needed, leading to a reduction of an order of the magnitude of the size of the impedance matrix that needs to be solved. Hence, problems using the subsectional basis that require a supercomputer to solve can easily be solved on a laptop computer. Also, electrically large problems can easily be handled using modest computer resources, whereas the same problems cannot be solved on large computers using the sub sectional basis because the matrix sizes will be extremely large! For example, if one wishes to analyze a metallic cube with each dimension of four times the wavelength, using 10 subsections per wavelength in a piecewise sub sectional basis will lead to a total of approximately 57,600 unknowns, whereas with the higher order basis, it will use approximately 2700 unknowns and the total solution time on a laptop PC will be less than a minute! When applying this methodology to the finite element method it will be seen that similar improvement is not only achieved in the computational procedures but also the rate of convergence is highly accelerated. Many other interesting and salient features of the higher order basis are also discussed in this presentation.
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