Journal of Applied Science and Engineering

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Yufeng ShiThis email address is being protected from spambots. You need JavaScript enabled to view it.

Henan Industry and Trade Vocational College; Zhengzhou Henan, 450053, China



Received: April 6, 2023
Accepted: March 3, 2024
Publication Date: April 14, 2024

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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In order to deal with the problems of noise pollution, it is of great importance to design systems and structures that can have targeted control over the propagation of sound waves. One common method of controlling noise pollution is using sandwich panels as acoustic insulation. Due to their low weight and high stiffness, Honeycomb cores are a suitable option for sandwich panels for sound insulation. In the present research, the non-dominated sorting genetic algorithm II (NSGA-II) has been used to improve the acoustic performance of the sandwich panel structure with a honeycomb core. The optimization has been conducted for two types of honeycomb cell orientation, considering that the panel is under in-plane loading. The main goal is to reduce sound transmission through the panel in the low-frequency range. For this reason, the objective function has been considered to maximize the sound transmission loss coefficient. The results show that materials with higher density and relatively less stiffness are considered more suitable for sound insulation. Also, it is derivable that the A-type cell structure demonstrates the maximum value of 227 dB for sound transmission loss coefficient.

Keywords: Acoustics, sandwich panel, honeycomb core, non-dominated sorting genetic algorithm II (NSGA-II).

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