Isogeometric boundary element method analysis for dielectric target shape optimization in electromagnetic scattering.

IF 2.6 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Science Progress Pub Date : 2024-10-01 DOI:10.1177/00368504241294114

Chengmiao Liu, Qingxiang Pei, Ziyu Cui, Zelu Song, Gaochao Zhao, Yang Yang

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Abstract

In order to optimize the overall form of electromagnetic scattering in two-dimensional dielectric media, this work offers a frequency-domain boundary element method based on isogeometric analysis. The Isogeometric boundary element method (IGABEM) is used to guarantee geometric correctness during optimization and prevent over-refinement of the mesh. Non-uniform rational B-splines are used to discretize the boundary integrals of the model, enabling rapid numerical computation while ensuring high accuracy. Furthermore, as an alternative model for electromagnetic scattering shape optimization issues, a gray wolf optimizer-based back-propagation neural network (GWO-ANN) is created, with radar cross-section (RCS) as the objective function. Finally, the GWO-ANN is used as a surrogate model for shape optimization in multi-frequency electromagnetic scattering problems with the RCS as the objective function. In computational examples, this algorithm efficiently and accurately solves electromagnetic scattering problems under multiple frequencies.

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等几何边界元法分析电磁散射中的介质目标形状优化。

为了优化二维介质中电磁散射的整体形式，这项研究提供了一种基于等几何分析的频域边界元方法。等几何边界元方法（IGABEM）用于保证优化过程中的几何正确性，并防止网格的过度细化。采用非均匀有理 B 样条对模型的边界积分进行离散处理，从而在确保高精度的同时实现快速数值计算。此外，作为电磁散射形状优化问题的替代模型，创建了基于灰狼优化器的反向传播神经网络（GWO-ANN），并将雷达截面（RCS）作为目标函数。最后，在以 RCS 为目标函数的多频电磁散射问题中，将 GWO-ANN 用作形状优化的替代模型。在计算实例中，该算法高效、准确地解决了多频率下的电磁散射问题。

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来源期刊

Science Progress Multidisciplinary-Multidisciplinary

CiteScore

3.80

自引率

0.00%

发文量

119

期刊介绍： Science Progress has for over 100 years been a highly regarded review publication in science, technology and medicine. Its objective is to excite the readers'' interest in areas with which they may not be fully familiar but which could facilitate their interest, or even activity, in a cognate field.