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Analytical modeling of the virtual sound insulation measurement suite and research on sound insulation test methods.

Authors :
Wang, Gang
Sheng, Zhehao
Kong, Deyu
Zhang, Yongfeng
Ni, Junfang
Li, Wenlong
Source :
Journal of Low Frequency Noise, Vibration & Active Control; Jun2023, Vol. 42 Issue 2, p866-889, 24p
Publication Year :
2023

Abstract

With the development of modern industrial technology, it is an essential problem to calculate the noise reduction performance of the flexible partition walls. The sound insulation measurement model is modeled by the Spectral geometry method (SGM). Compared with the traditional ones, it is a method with higher calculation accuracy and faster convergence speed. The displacement of the panel and the sound pressure field inside the rooms are expressed as Fourier series with additional items. In order to simulate the real measurement environment, the sound source room and the receiving room are set as a reverberation chamber and an anechoic chamber with impedance boundaries, respectively. The coupling relationship is established by the Hamilton's principle. Then the natural frequencies and the sound pressure level are compared with those derived by the finite element method (FEM). The results show that the analytical method has good accuracy and convergence. Moreover, the sound transmission loss (STL) of the partition could be obtained by the sound pressure method. Considering there is no accurate method for measuring the STL, this paper studies some factors affecting the sound insulation performance of the model by the parametric analysis method, such as the thickness of the panel, the length of the receiving room, the impedance of the receiving room and the parameters of medium. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14613484
Volume :
42
Issue :
2
Database :
Complementary Index
Journal :
Journal of Low Frequency Noise, Vibration & Active Control
Publication Type :
Academic Journal
Accession number :
163955797
Full Text :
https://doi.org/10.1177/14613484221133628