Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65551
Title: A numerical investigation on the sound insulation of ventilation windows
Authors: Yu, X
Lau, SK
Cheng, L 
Cui, F
Issue Date: 2017
Source: Applied acoustics, 2017, v. 117, p. 113-121
Abstract: A simulation model is proposed and developed for predicting the sound insulation performance of ventilation windows in buildings, which complies with the laboratory measurement standard ISO 10140. Finite element method (FEM) with verified model definitions is implemented to characterize the airborne sound transmission. An acoustic cavity with rigid-boundaries is used to simulate the diffuse field on the source side of the window, with its diffuseness verified with the pressure field uniformity. On the receiver side, a free field with an infinite baffle is assumed to capture the transmitted sound power. The Sound Reduction Index (SRI) is calculated from the difference between the source and receiving sound power levels in the one-third octave band. Using the proposed model, different ventilation window configurations, consisting of partially open single glazing, double glazing with staggered openings and that with sound absorbers are systematically investigated. Parametric studies are carried out to investigate the effects of various window dimensions and absorber parameters. Simple formulas are proposed for estimating the SRI in the mid-to-high frequency range, providing guidelines for engineering designs. The validity of the numerical model is confirmed by comparisons with full-scale experimental results.
Keywords: Diffuse field
Finite element method
Micro-perforated panel
Sound reduction index
Ventilation window
Publisher: Pergamon Press
Journal: Applied acoustics 
ISSN: 0003-682X
EISSN: 1872-910X
DOI: 10.1016/j.apacoust.2016.11.006
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

29
Last Week
0
Last month
Citations as of Sep 3, 2020

WEB OF SCIENCETM
Citations

22
Last Week
0
Last month
Citations as of Sep 26, 2020

Page view(s)

114
Last Week
6
Last month
Citations as of Sep 22, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.