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Reduced-Order Models in the Finite Element Analysis

机译:有限元分析中的减少阶模型

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摘要

A novel technique of incorporating macromodels into finite element electromagnetic analysis of waveguide components is presented. Macromodels are generated by using a model order reduction algorithm (ENOR), which results in significant decrease of the number of variables, that describe the computational region. Proposed technique allows for using a few independent macromodels as well as to duplicating one macromodel in many subregions of analysed structure. Reduction of the numerical costs is obtained without sacrificing solution accuracy. Furthermore, proposed approach leads to reduction of the overall simulation time.
机译:提出了一种将Macromodels掺入波导组分的有限元电磁分析的新技术。通过使用模型顺序减少算法(ENOR)产生Macromodel,这导致描述计算区域的变量数量的显着降低。所提出的技术允许使用几个独立的宏偶像以及在分析结构的许多次区域中复制一个Macromodel。在不牺牲溶液精度的情况下获得数值成本的减少。此外,所提出的方法导致减少整体模拟时间。

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