Multi-Objective Optimization Design of Low-Frequency Band Gap for Local Resonance Acoustic Metamaterials Based on Genetic Algorithm

Multi-Objective Optimization Design of Low-Frequency Band Gap for Local Resonance Acoustic Metamaterials Based on Genetic Algorithm

Driven by the urgent demand for low-frequency vibration and noise control in engineering scenarios such as automobiles, acoustic metamaterials (AMs), as a new class of functional materials, have demonstrated significant application potential. This paper proposes a low-frequency band gap optimization...

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Bibliographic Details
Main Authors: Jianjiao Deng, Yunuo Qin, Xi Chen, Yanyong He, Yu Song, Xinpeng Zhang, Wenting Ma, Shoukui Li, Yudong Wu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Machines
Subjects:
acoustic metamaterials
local resonance
non-dominated sorting genetic algorithm II (NSGA-II)
COMSOL with MATLAB co-simulation
noise, vibration and harshness (NVH)
Online Access:https://www.mdpi.com/2075-1702/13/7/610
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