Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

SEA-FEM hybrid analysis for predicting Inter-floor impact noise

Authors
Kim, Tae-MinKim, Jeung-TaeKim, Jung-Soo
Issue Date
1-Jan-2018
Publisher
ELSEVIER SCI LTD
Keywords
Floor impact noise; Statistical energy analysis; Finite elements method; SEA-FEM hybrid analysis; Loss factor
Citation
APPLIED ACOUSTICS, v.129, pp.397 - 407
Journal Title
APPLIED ACOUSTICS
Volume
129
Start Page
397
End Page
407
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/4112
DOI
10.1016/j.apacoust.2017.08.025
ISSN
0003-682X
Abstract
A hybrid method for predicting inter-floor impact noise in an apartment house is developed. Statistical Energy Analysis (SEA) is useful for predicting mid- to high-frequency noise by utilizing simple equivalent models of structures that have complex geometry and material properties. For low frequencies with concomitant low modal density, however, the error can be significant. Finite Element Method (FEM) is useful for predicting low frequency noise but entails complex modelling process and can be computation intensive. The inter-floor impact noise contains a significant low frequency component arising from floor vibration engendered by a person walking on the floor. The force of impact at 30-300 Hz frequency range excites the first and second bending modes of the floor and causes sound to radiate, and for the component of the sound less than 100 Hz, the SEA prediction error can be quite significant. In the present study, a modular hybrid method in which the floor structure is modelled using FEM and the vibration energy transmission through walls is modelled using SEA is proposed. The loW frequency vibration of the floor due to impact is analyzed by modelling the floor as a clamped uniform plate while the propagation of vibratory energy to adjacent walls is analyzed by determining CLF and DLF values. The proposed SEA-FEM hybrid analysis method is capable of providing accurate estimation of the impact noise for low-, medium- and high-frequencies. Compared with a FEM based method, the proposed method is found to yield results that are similar while reducing computation time by 70%. (C) 2017 Elsevier Ltd. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical and System Design Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Kim, Jung Soo photo

Kim, Jung Soo
Engineering (Mechanical & System Design Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE