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Loop-tree implementation of the adaptive integral method (AIM) for numerically-stable, broadband, fast electromagnetic modeling

机译:数值稳定,宽带,快速电磁建模的自适应积分方法(AIM)的循环树实现

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The adaptive integral method (AIM) is implemented in conjunction with the loop-tree (LT) decomposition of the electric current density in the method of moments approximation of the electric field integral equation. The representation of the unknown currents in terms of its solenoidal and irrotational components allows for accurate, broadband electromagnetic (EM) simulation without low-frequency numerical instability problems, while scaling of computational complexity and memory storage with the size of the problem are of the same order as in the conventional AIM algorithm. The proposed algorithm is built as an extension to the conventional AIM formulation that utilizes roof-top expansion functions, thus providing direct and easy way for the development of the new stable formulation when the roof-top based AIM is available. A new preconditioning strategy utilizing near interactions in the system which are typically available in the implementation of fast solvers is proposed and tested. The discussed preconditioner can be used with both roof-top and LT formulations of AIM and other fast algorithms. The resulting AIM implementation is validated through its application to the broadband, EM analysis of large microstrip antennas and planar interconnect structures.
机译:自适应积分法(AIM)结合电流积分的回路树(LT)分解,以电场积分方程的矩近似法实现。用螺线管和非旋转分量表示未知电流,可以进行准确的宽带电磁(EM)仿真,而不会出现低频数值不稳定性问题,而计算复杂性和内存存储的规模与问题的大小相同顺序与常规AIM算法相同。拟议算法的构建是对利用屋顶扩展功能的常规AIM公式的扩展,从而在基于屋顶的AIM可用时为开发新的稳定公式提供了直接简便的方法。提出并测试了一种新的预处理策略,该策略利用系统中的近距离交互作用(通常在快速求解器的实现中可用)。讨论的预处理器可与AIM的屋顶和LT公式以及其他快速算法一起使用。通过将其应用于宽带,大型微带天线的EM分析和平面互连结构,可以验证最终的AIM实现。

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