Università della Campania "Luigi Vanvitelli," Via San Lorenzo, 81031 Aversa (Ce), Italy.
J Acoust Soc Am. 2021 Jul;150(1):51. doi: 10.1121/10.0005479.
Metamaterials are designed by arranging artificial structural elements according to periodic geometries to obtain advantageous and unusual properties when they are hit by waves. Initially designed to interact with electromagnetic waves, their use naturally extended to sound waves, proving to be particularly useful for the construction of containment and soundproofing systems in buildings. In this work, a new metamaterial has been developed with the use of a polyvinyl chloride membrane on which buttons have been glued. Two types of buttons were used, with different weights, placing them on the membrane according to a radial geometry. Each sample of metamaterial was subjected to sound absorption coefficient measurements using the impedance tube. Measurements were made using the samples by setting three configurations, creating a cavity with different thicknesses. The results of the measurements were subsequently used as input for training a simulation model based on artificial neural networks. The model showed an excellent generalization capacity, returning estimates of the acoustic absorption coefficient of the metamaterial very similar to the measured value. Subsequently, the model was used to perform a sensitivity analysis to evaluate the contribution of the various input variables on the returned output.
超材料是通过按照周期性几何形状排列人工结构元素来设计的，当它们被波撞击时，会获得有利和不寻常的特性。最初设计用于与电磁波相互作用，它们的用途自然扩展到声波，在建筑物的封闭和隔音系统的构建中被证明特别有用。在这项工作中，使用聚氯乙烯膜开发了一种新型超材料，在该膜上粘贴了按钮。使用了两种不同重量的按钮，根据辐射状几何形状将它们放置在膜上。使用阻抗管对每种超材料样本进行吸声系数测量。通过设置三种配置对样品进行测量，创建具有不同厚度的空腔。随后，将测量结果用作基于人工神经网络的仿真模型的输入。该模型显示出出色的泛化能力，返回的超材料吸声系数估计值与测量值非常接近。随后，使用该模型进行了敏感性分析，以评估各个输入变量对返回输出的贡献。
