An empirical model to predict sound absorption ability of woven fabrics. (15th December 2020)
- Record Type:
- Journal Article
- Title:
- An empirical model to predict sound absorption ability of woven fabrics. (15th December 2020)
- Main Title:
- An empirical model to predict sound absorption ability of woven fabrics
- Authors:
- Cai, Zenong
Li, Xianhui
Gai, Xiaoling
Zhang, Bin
Xing, Tuo - Abstract:
- Abstract: 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.
- Is Part Of:
- Applied acoustics. Volume 170(2020)
- Journal:
- Applied acoustics
- Issue:
- Volume 170(2020)
- Issue Display:
- Volume 170, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 170
- Issue:
- 2020
- Issue Sort Value:
- 2020-0170-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-15
- Subjects:
- Sound-absorbing textile -- Woven fabrics -- Noise absorption
00-01 -- 99-00
Acoustical engineering -- Periodicals
Periodicals
620.2 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0003682X ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/homepage/elecserv.htt ↗ - DOI:
- 10.1016/j.apacoust.2020.107483 ↗
- Languages:
- English
- ISSNs:
- 0003-682X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1571.400000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13930.xml