小旋翼机
超材料
材料科学
吸收(声学)
反向
宽带
蜂巢
声学
噪声控制
噪音(视频)
优化设计
拓扑优化
衰减系数
反问题
灵活性(工程)
计算机科学
多边形网格
降噪
图层(电子)
工程设计过程
有限元法
多孔介质
蜂窝结构
还原(数学)
光学
多孔性
系列(地层学)
低频
电子工程
声功率
标识
DOI:10.3389/fmech.2026.1774457
摘要
Introduction Environmental noise is a growing problem with a negative impact on individuals, particularly at low frequencies. 3D printed acoustic metamaterials have emerged as possible load-bearing solutions for noise management. Several designs have been investigated in the literature to construct 3D lattices for optimized sound absorption including gyroid and honeycomb. Nevertheless, there exists a need for a framework to propose the best metamaterial design for application-focused target frequencies, in particular at low frequencies. Methods In this work, an inverse design framework is presented to propose an optimal hybrid metamaterial for sound absorption at low frequencies. To enhance broadband low-frequency absorption, the design space was extended to include a gyroid porous layer stacked in series with a honeycomb layer and an elastic wall. The inverse optimization then adjusts the porosities and effective thicknesses of gyroid and honeycomb layers to match a prescribed target absorption spectrum, while respecting additive manufacturing constraints. Results The results of the proposed optimal hybrid design show that it achieves near unity sound absorption across the 250 – 2000Hz frequency range, with absorption coefficients exceeding 0.93 at all target frequencies. The resulting Noise Reduction Coefficient (NRC) reaches 0.95, demonstrating excellent broadband acoustic performance within practical thickness and manufacturing constraints. Discussion The proposed framework integrates inverse design with manufacturing-aware optimization to enable the development of high-performance, tunable acoustic metamaterials.
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