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Multiform frequency selective surfaces optimal design based on topology optimization
Author(s) -
Sui Sai,
Ma Hua,
Wang Jiafu,
Pang Yongqiang,
Zhang Jieqiu,
Xu Zhuo,
Qu Shaobo
Publication year - 2019
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.21491
Subject(s) - topology optimization , selective surface , wideband , topology (electrical circuits) , connection (principal bundle) , tunable metamaterials , stability (learning theory) , computer science , optimal design , fabrication , hexagonal crystal system , frequency band , finite element method , electronic engineering , materials science , engineering , metamaterial , bandwidth (computing) , structural engineering , telecommunications , optoelectronics , medicine , chemistry , alternative medicine , electrical engineering , pathology , machine learning , crystallography
This article proposes an optimization design method for various frequency selective surfaces (FSSs) based on topology optimization algorithm incorporated with the genetic algorithm. The present method takes the connectivity condition both in simulation and fabrication of the elements into consideration. For the filling elements structural design methodology, the novel hexagonal‐pixel filling element structural design is employed for improving the patch connection. As examples, various FSSs, such as a large‐angle‐stability band‐pass FSS, wideband band‐pass FSS, and multiple band‐pass FSS, are designed. Furthermore, the validity of the present method is proved by the agreement between the simulation and the measurement.