An empirical model to predict sound absorption ability of woven fabrics

Autor:	Tuo Xing, Xian-Hui Li, Gai Xiaoling, Ze-Nong Cai, Bin Zhang
Rok vydání:	2020
Předmět:	010302 applied physics Flow resistivity Materials science Acoustics and Ultrasonics Acoustics 0103 physical sciences Linear regression Porosity Porous medium 010301 acoustics 01 natural sciences Tortuosity Impedance tube
Zdroj:	Applied Acoustics. 170:107483
ISSN:	0003-682X
DOI:	10.1016/j.apacoust.2020.107483
Popis:	Well-designed thin lightweight fabrics can effectively replace bulky porous materials traditionally used in sound absorption. In this paper, a method based on Johnson-Champoux-Allard (JCA) model and multiple regression is proposed to predict the sound absorption effect of woven fabrics. Detailed 3D geometric models are built for a set of woven samples. Multiple regression method is conducted to obtain the empirical formulae of the parameters required by the JCA model, such as geometric tortuosity, flow resistivity, and porosity. Experimental results from the impedance tube test agree well with the numerical predictions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::01191487c98146bf4119a342d2aac23f https://doi.org/10.1016/j.apacoust.2020.107483 Zobrazit plný text záznamu Full Text from ScienceDirect