Topology optimization of two-dimensional asymmetrical phononic crystals

被引:81
作者
Dong, Hao-Wen [1 ]
Su, Xiao-Xing [2 ]
Wang, Yue-Sheng [1 ]
Zhang, Chuanzeng [3 ]
机构
[1] Beijing Jiaotong Univ, Inst Engn Mech, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[3] Univ Siegen, Dept Civil Engn, D-57068 Siegen, Germany
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
Phononic crystal; Bandgap width; Topology optimization; Fuzzy granulation; Asymmetrical structure; PHOTONIC CRYSTALS; EVOLUTIONARY ALGORITHMS; BAND-GAPS; FITNESS APPROXIMATION; GENETIC ALGORITHM; DESIGN; REDUCTION;
D O I
10.1016/j.physleta.2013.12.003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The multiple elitist genetic algorithm with the adaptive fuzzy fitness granulation (AFFG) is used to design the phononic crystals with large relative bandgap width (BGW) for combined out-of-plane and in-plane wave modes. Without assumption on the symmetry of the unit-cell, we obtain an asymmetrical phononic crystal with the relative BGW which is quite larger than that of the optimized symmetrical structure. With the help of AFFG, the number of the fitness function evaluations is reduced by over 50% and the procedure converges 5 times faster than the conventional evolutionary algorithm to reach the same final fitness values. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:434 / 441
页数:8
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