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