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首页> 外文期刊>IEEE Transactions on Antennas and Propagation >A Fast Domain Decomposition Method for Solving Three-Dimensional Large-Scale Electromagnetic Problems
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A Fast Domain Decomposition Method for Solving Three-Dimensional Large-Scale Electromagnetic Problems

机译:解决三维大规模电磁问题的快速域分解方法

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摘要

An efficient algorithm based on domain decomposition method (DDM) and partial basic solution vectors (PBSV) technique is proposed for solving three-dimensional (3-D), large-scale, finite periodic electromagnetic problems, such as photonic or electromagnetic bandgap structures, frequency selective surfaces. The entire computational domain is divided into many smaller nonoverlapping subdomains. A Robin-type condition is introduced at the interfaces between subdomains to enforce the field continuity. With the help of a set of dual unknowns, each subdomain can be tackled independently. Because of geometric repetitions, all the sudomains can be classified into a few building blocks, which can be dealt with by an improved PBSV algorithm. Thus, the original problem becomes a much smaller one which involves the unknowns only at the interfaces. The resulting linear system of equations is solved by a block symmetric successive over relaxation (SSOR) preconditioned Krylov subspace method. Once the unknowns at the interfaces have been obtained, the final solution on each subdomain can easily be calculated independently. Some numerical examples are provided and show the method is scalable with the number of subdomains.
机译:提出了一种基于域分解方法(DDM)和部分基本解矢量(PBSV)技术的有效算法,用于解决三维(3-D),大规模,有限周期电磁问题,例如光子或电磁带隙结构,频率选择表面。整个计算域分为许多较小的非重叠子域。在子域之间的接口处引入了Robin类型的条件以强制字段连续性。借助一组双重未知数,可以独立处理每个子域。由于几何重复,所有的sudomain都可以分为几个构造块,可以通过改进的PBSV算法来处理。因此,原始问题变得小得多,仅在接口处涉及未知数。通过块对称连续松弛(SSOR)预处理Krylov子空间方法求解所得的线性方程组。一旦获得了接口处的未知数,就可以轻松地独立计算每个子域上的最终解。提供了一些数值示例,并显示了该方法可随子域数量扩展。

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