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Optimized Modular Design of Acoustic Metamaterials: Targeted Noise Attenuation |
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| Authors: | Caiyou Zhao Xinhao Zhang Ping Wang Nachao Wei Mingjing Geng Qingmin Hui Qi Yu Kangjia Qiao Tao Lu |
| Institution: | 1. School of Civil Engineering, Southwest Jiaotong University, Chengdu, 61003 China;2. School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001 China;3. School of Civil Engineering, Southwest Jiaotong University, Chengdu, 61003 China
SWJTU-Leeds Joint School, Southwest Jiaotong University, Chengdu, 611756 China |
| Abstract: | A modular design optimization method for acoustic metamaterial cells is proposed, which can ensure satisfying the targeted noise attenuation by using only the objective function of an arbitrary noise source and the constraints of the application at hand. The core algorithm is a fusion of the generalized particle swarm algorithm and wave finite element method specialized for structural and targeted optimization of metamaterials. The output is the optimized metamaterial cell and its sound barrier structure. The desired noise reduction performance is verified via acoustic testing of a 3D-printed prototype. The simulation and experimental results of test cases show that the designed acoustic metamaterial can perfectly block the target noise band and have significant advantages in terms of design efficiency, light weight, and noise attenuation. |
| Keywords: | acoustic metamaterials acoustic wave bandgaps GPSOWF fusion algorithms optimized modular design targeted noise attenuation |