The Effect of Direct Field Component on a Statistical Energy Analysis (SEA) Model

Article Preview

Abstract:

Statistical Energy Analysis (SEA) is a well-known method to analyze the flow of acoustic and vibration energy in a complex structure. The structure is divided into subsystems where the energy in each of the subsystem is assumed to be reverberant. This study investigates the application of SEA model in a 'damped' acoustic space where the direct field component from the sound source dominates the total sound field rather than a diffuse field in a reverberant space which the SEA model assumption is based on. A measurement was conducted in a scaled room divided into two acoustic spaces separated by a partition with an opening. Absorbent materials were installed on the room walls and the power injection technique was implemented to obtain the coupling loss factor (CLF) of the system. It is found that correction of the direct field component from the subsystem energy improves the prediction of the CLF of the system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

279-284

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Forssen, S. Tober, A. C. Corakci, A. Frid and W. Kropp, Modelling the interior sound field of a railway vehicle using statistical energy analysis, Applied Acoustic 73 (2012), 301-311.

DOI: 10.1016/j.apacoust.2011.09.012

Google Scholar

[2] M. J. Kim and J. Y. Shon, Prediction and evaluation of impact sound transmission in apartment building structures by statistical energy analysis, Applied Acoustic 62 (2001), 601-616.

DOI: 10.1016/s0003-682x(00)00074-8

Google Scholar

[3] K. Renji, P. S. Nair, and S. Narayanan. Non-resonant response using statistical energy analysis, Journal of Sound and Vibration 241 (2001), 253–270.

DOI: 10.1006/jsvi.2000.3270

Google Scholar

[4] R. Ribeiro and M. G. Smith, Use of SEA to model the sound filed in large acoustic spaces, Forum Acousticum (2005), 79-84.

Google Scholar

[5] R. H. Lyon and G. D. DeJong, Theory and application of statistical energy analysis. 2nd Ed. Butterworth-Heinemann. (1995).

Google Scholar