Noisy neighbours : towards a hybrid prediction and testing process for sound insulating partitions

Whittle, GCR; Elliott, A; Meggitt, JWR; Wong-McSweeney, DBC; Parsons, R

Abstract

There are numerous methods for characterising sound insulating and impact noise reducing components and systems, each with their own advantages and disadvantages. Two of the predominant modelling techniques for prediction of transmission loss through partitions are finite element analysis (FEA)
and the transfer matrix method (TMM). FEA has the advantage that one can model the entire system,
taking into account most of the degrees of freedom. However, this advantage makes the method more
computationally expensive, especially in the high frequencies where the short wavelength dictates the
length of computation, as identified in[1]
. The TMM is useful for understanding how sound propagates
through a medium and makes the addition of more layers to the model an easier task. There is an
assumption of each layer as infinite, meaning that final results can be unreliable, as discussed in[2]
. It
is accepted that due to the distinct advantages and disadvantages inherent to each method, no one
method is applicable for every system and across a broad frequency range. This paper is concerned
with the creation of a method for characterising complex systems accurately with a view to creating a
tool for optimisation of soundproofing technologies.

Citation

Whittle, G., Elliott, A., Meggitt, J., Wong-McSweeney, D., & Parsons, R. (2021). Noisy neighbours : towards a hybrid prediction and testing process for sound insulating partitions. https://doi.org/10.25144/13759

• Journal Article Type: Conference Paper
• Conference Name: Acoustics 2021
• Conference Location: Glasgow, UK/Online
• End Date: Oct 12, 2021
• Online Publication Date: Oct 12, 2021
• Publication Date: Oct 12, 2021
• Deposit Date: Mar 14, 2022
• Journal: Acoustics 2021
• Print ISSN: 1478-6095
• Volume: 43
• Pages: 57-64
• Series Title: Proceedings of the Institute of Acoustics
• Series Number: 43.1
• Book Title: ACOUSTICS 2021
• ISBN: 9781906913397-(online);-9781713841500-(print)
• DOI: https://doi.org/10.25144/13759
• Publisher URL: https://doi.org/10.25144/13759
• Related Public URLs: https://www.ioa.org.uk/catalogue/conference-proceedings/acoustics-2021
• Additional Information: Event Type : Conference