Page 122 - 《应用声学》2020年第6期

第 39 卷 第 6 期 Vol. 39, No. 6
2020 年 11 月 Journal of Applied Acoustics November, 2020

⋄ 研究报告 ⋄

嵌入式质量块对隔声门低频段隔声性能的影响 ∗

夏兆旺 薛 斌 许祥曦 苏战发 王宗耀 方媛媛 †

(江苏科技大学能源与动力学院 镇江 212003)

摘要：针对隔声门低频隔声性能差的问题，将嵌入式质量应用于隔声门中以提高隔声门在低频段的隔声性能，
通过建立两个相邻混响室的有限元模型计算隔声门的隔声量。基于该模型，并结合隔声门低频隔声性能的评
价方法，对在低频段影响隔声门有效隔声量的相关参数进行了参数关联性研究和优化，优化结果表明：对于厚
3
度 92 mm、容重 24 kg/m 的玻璃棉，使用灰铸铁作为质量块，并合理布置各个质量块的大小及其在玻璃棉中
的相对位置，可以有效提高隔声门在低频段的隔声性能；与普通隔声门相比，在低频段嵌入式质量隔声门的有
效隔声量增加了 5.0 dB。
关键词：隔声门；嵌入式质量；低频噪声；响应面；遗传算法
中图法分类号: TU112.59+2 文献标识码: A 文章编号: 1000-310X(2020)06-0916-08
DOI: 10.11684/j.issn.1000-310X.2020.06.015

The effect of the embedded mass on the low-frequency sound transmission loss

of soundproof doors

XIA Zhaowang XUE Bin XU Xiangxi SU Zhanfa WANG Zongyao FANG Yuanyuan

(School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

Abstract: It is well known that the low-frequency noise is harder to control than that in high frequency. This
paper applies embedded masses to soundproof doors to improve its low-frequency sound insulation. It uses a
finite element model of two adjacent reverberation rooms to calculate the transmission loss of the soundproof
door. Based on this model and the low-frequency noise evaluation method, the parameter correlation and
optimization of the parameters affecting the low-frequency effective sound insulation of the soundproof door
are carried out. The optimization results show that for 92 mm thick glass wool with a bulk density of 24 kg/m 3
the low-frequency sound insulation of the soundproof door can be effectively improved by using cast iron as
the embedded masses and arranging the position of each mass reasonably. Compared with regular soundproof
doors, the low-frequency effective sound insulation of the optimized soundproof door has increased by 5.0 dB.
Keywords: Soundproof door; Embedded masses; Low-frequency noise; Response surface; Genetic algorithm

2020-03-09 收稿; 2020-04-26 定稿
江苏省自然科学基金项目 (BK20191462)
∗
作者简介: 夏兆旺 (1981– ), 男, 安徽人, 博士, 教授, 研究方向: 振动与噪声控制。
† 通信作者 E-mail: fangyy82@163.com