Research on Optimization of Microperforated Acoustic Structures Based on Genetic Algorithm

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

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Abstract

Microperforated panels (MPP) are widely used in noise control applications due to their excellent sound absorption performance. However, traditional single-layer MPPs suffer from a narrow sound absorption bandwidth, making it difficult to meet the demands for broadband sound absorption. To address this limitation, this study proposes a design approach for double-layer MPPs optimized using a genetic algorithm (GA). By optimizing structural parameters such as perforation diameter, panel thickness, perforation ratio, and cavity depth, the sound absorption performance of the double-layer MPP is significantly enhanced. The results demonstrate that the optimized double-layer MPP achieves an average sound absorption coefficient of 0.71 across the 100–5000 Hz frequency range, with a peak absorption coefficient exceeding 0.8 at 500 Hz, outperforming conventional sound-absorbing products of the same category.

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