Research on Optimization of Microperforated Acoustic Structures Based on Genetic Algorithm

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.