北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2023, Vol. 46 ›› Issue (3): 84-90.

• 论文 • 上一篇    下一篇

基于拓扑优化的宽频超材料吸波体设计

周瑶,孙俊,罗会龙,戴书浩   

  1. 昆明理工大学 信息工程与自动化学院
  • 收稿日期:2021-12-08 修回日期:2022-01-30 出版日期:2023-06-28 发布日期:2023-06-05
  • 通讯作者: 孙俊 E-mail:31408891@qq.com

Design of Broadband Metamaterial Absorber Based on Topology Optimization

ZHOU Yao, SUN Jun, LUO Huilong, DAI Shuhao   

  • Received:2021-12-08 Revised:2022-01-30 Online:2023-06-28 Published:2023-06-05

摘要:

为了弥补传统方法设计宽频超材料吸波体存在重复试验和设计周期长的缺陷,提出了拓扑优化方法来设计宽频超材料吸波体,通过改变表层拓扑结构实现工作带宽的灵活调节。采用离散编码的方式进行拓扑编码化,通过一种结合动态权值和高斯误差的二进制粒子群算法优化拓扑结构,以实现C-Ku内任意工作频段的高吸波率。所设计的2种超材料吸波体在8.2~16.6 GHz和7~13 GHz频段的吸波率高于90%,尤其在X频段内,其中一种超材料吸波体的平均吸波率高达96.44%。实验结果表明,所提算法改善了早熟和后期局部搜索能力弱的问题,更有效地应用于宽频超材料吸波体的设计。

关键词: ">超材料;吸波体;拓扑优化;二进制粒子群算法;宽频

Abstract:

Broadband metamaterial absorber designed by traditional methods requires a lot of computational resources and time. To solve this issue, the topology optimization method is proposed to design broadband metamaterial absorbers. The dynamic adjustment of bandwidth can be achieved by changing the surface topology. The discrete coding method is used to encode the topology structure. The binary particle swarm optimization algorithm combining dynamic weights and Gaussian errors is used to optimize the topology to achieve high absorption in any frequency band of C-Ku. The simulation results show that the absorption of the two metamaterial absorbers designed in this paper is higher than 90% at 8.2~16.6 GHz and 7~13 GHz, respectively. Especially in the X-band, the average absorption of one of the metamaterial absorbers is 96.44%. The proposed algorithm solves the problem of premature and weak local search ability in the later stage, which can be applied to design metamaterial absorbers effectively. Compared with the traditional methods, the topology optimization method has the advantages of on-demand design and design process without intervention, it has a wide range of application prospects in related fields.

Key words: metamaterial, absorbers, topology optimization, binary particle swarm optimization, broadband

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