Optimal design of low-frequency sound absorber based on Snake Optimizer

Abstract

In this work, a low-frequency sound absorber composed of a micro-perforated panel (MPP) and a coiled-up space configured by grooved corrugations is proposed. Due to the intricate interactions caused by the hole diameter and hole separation distance, it is difficult to achieve optimal acoustic performance. Here, a high-efficient meta-heuristic optimization algorithm named Snake Optimizer (SO) is applied to flexibly obtain the prime configuration of acoustic absorbing and structure parameters. The expected sound spectrum characteristics are performed by substituting the optimum into the 3D finite element model (FEM). Good agreement verifies the effectiveness of the proposed method. Our work paves the way for broadening the application of algorithms in the optimal design of acoustic metamaterials.