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Accurate analysis of large-scale periodic structures using an efficient sub-entire-domain basis function method

机译:使用有效的整个域域基函数方法对大型周期性结构进行精确分析

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An efficient sub-entire-domain (SED) basis function method has been proposed to analyze large-scale periodic structures with finite sizes accurately. The SED basis function is defined on the support of each single cell of the periodic structure. After introducing dummy cells with respect to an observation cell, the real physics of SED basis function is captured accurately by solving a small-size problem. Further analysis has shown that all kinds of SED basis functions used in the periodic structure can be obtained by solving a single small problem. Hence, the original large-scale problem involving N=N0M unknowns is decomposed into two small-size problems, one of which contains 9M unknowns and the other of which contains only N0 unknowns. Here, N0 is the total cell number in the periodic structure and M is the number of subdomain basis functions in each unit cell. Several examples are given to test the validity and efficiency of the proposed method. Numerical results from the new method have excellent agreements with those from the conventional method of moments. However, the CPU time has been greatly reduced.
机译:提出了一种有效的亚整个域(SED)基函数方法,可以精确地分析具有有限大小的大规模周期结构。 SED基函数是在周期结构的每个单个单元格的支持下定义的。在相对于观察单元引入虚拟单元之后,通过解决小尺寸问题可以准确地捕获SED基函数的真实物理过程。进一步的分析表明,可以通过解决一个小问题来获得用于周期性结构的各种SED基函数。因此,原始的涉及N = N0M个未知数的大规模问题被分解为两个小问题,其中一个包含9M个未知数,另一个仅包含N0个未知数。这里,N0是周期结构中的总单元数,M是每个单位单元中的子域基函数的数量。给出了几个例子来检验所提方法的有效性和有效性。新方法的数值结果与传统矩量法的数值结果具有极好的一致性。但是,CPU时间已大大减少。

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