A simple DGTD method with the impedance boundary condition

IF 0.8 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY
Yang Qian, Wei Bing, Li Linqian, Deng Haochuan
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引用次数: 0

Abstract

Large-size conductive targets or coated targets are difficult issues in computational electromagnetics. In general, such targets can be classified as multi-scale problems. Multi-scale problems usually consume a large number of computational resources. Researchers are devoted to seeking fast methods for these problems. When the skin depth is less than the size of a conductive target, the tangential components of the electric and magnetic fields over the surface of the target can be correlated by the surface impedance Ẑ. Ẑ is usually a complex function of the frequency, and it can be used to formulate an impedance boundary condition (IBC) to describe iterative equations in time domain methods to avoid the volumetric discretization of the target to improve computational efficiency. This condition is commonly known as the surface impedance boundary condition (SIBC). Similarly, for a conductor with thickness on the order or less than the skin depth, it also has high resource requirements if the target is straightforward volumetric discretization. The transmission impedance boundary condition (TIBC) can be applied to replace a coated object to reduce resource requirements. Thus, volumetric discretization is not required. There are few studies on the IBC scheme in the DGTD method. P. Li discussed the IBC scheme in DGTD, which involves complex matrix operations in the processing of IBC. In the DGTD method, numerical flux is used to transmit data between neighboring elements, and the key to the IBC scheme in DGTD is how to handle numerical flux. We hope to propose a DGTD method with a simple form and matrix-free IBC scheme. The key in dealing with IBC in DGTD is numerical flux. Unlike the literature, the impedance ẐR is not approximated by rational functions in our study. A specfic function ẐR obtained after the derivation in this paper is approximated by rational functions in the Laplace domain using the vector-fitting (VF) method, and its time-domain iteration scheme is given. This approach avoids matrix operations. The TIBC and SIBC processing schemes are given in section 4. The proposed method's advantage is that the upwind flux's standard coefficients are retained, and the complex frequency-time conversion problem is implemented by the vector-fitting method. The one-dimensional and three-dimensional examples also show the accuracy and effectiveness of our work in this paper.
具有阻抗边界条件的简单DGTD方法
大尺寸导电目标或涂覆目标是计算电磁学中的难题。一般来说,这类目标可以归类为多尺度问题。多尺度问题通常会消耗大量的计算资源。研究人员致力于寻找解决这些问题的快速方法。当蒙皮深度小于导电目标的尺寸时,可以通过表面阻抗Ẑ来关联目标表面上电场和磁场的切向分量。Ẑ通常是频率的复函数,在时域方法中可以用它来建立阻抗边界条件(IBC)来描述迭代方程,避免了目标的体积离散化,提高了计算效率。这种条件通常被称为表面阻抗边界条件(SIBC)。同样,对于厚度为或小于蒙皮深度的导体,如果目标是直接的体积离散化,它也有很高的资源要求。传输阻抗边界条件(TIBC)可用于代替被涂覆物体,以减少资源需求。因此,不需要体积离散化。对于DGTD方法中IBC方案的研究很少。李鹏讨论了DGTD中的IBC方案,其中IBC的处理涉及复杂的矩阵运算。在DGTD方法中,采用数值通量在相邻单元之间进行数据传输,而DGTD中IBC方案的关键是如何处理数值通量。我们希望提出一种具有简单形式和无矩阵IBC方案的DGTD方法。在DGTD中处理IBC的关键是数值通量。与文献不同的是,在我们的研究中,阻抗ẐR不是用有理函数近似的。用向量拟合(vector-fitting, VF)方法在拉普拉斯域中用有理函数逼近了本文推导得到的一个特定函数ẐR,并给出了它的时域迭代格式。这种方法避免了矩阵运算。第4节给出了TIBC和SIBC处理方案。该方法的优点是保留了迎风通量的标准系数,并采用矢量拟合方法实现了复频率-时间转换问题。一维和三维的算例也证明了本文工作的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
物理学报
物理学报 物理-物理:综合
CiteScore
1.70
自引率
30.00%
发文量
31245
审稿时长
1.9 months
期刊介绍: Acta Physica Sinica (Acta Phys. Sin.) is supervised by Chinese Academy of Sciences and sponsored by Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences. Published by Chinese Physical Society and launched in 1933, it is a semimonthly journal with about 40 articles per issue. It publishes original and top quality research papers, rapid communications and reviews in all branches of physics in Chinese. Acta Phys. Sin. enjoys high reputation among Chinese physics journals and plays a key role in bridging China and rest of the world in physics research. Specific areas of interest include: Condensed matter and materials physics; Atomic, molecular, and optical physics; Statistical, nonlinear, and soft matter physics; Plasma physics; Interdisciplinary physics.
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