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Development of sound insulation prediction tool by integration of life cycle assessment

Communication avec acte
Author
ccBADER EDDIN, Mohamad
300734 Université du Québec à Chicoutimi [UQAC]
ccMENARD, Sylvain
300734 Université du Québec à Chicoutimi [UQAC]
ccLARATTE, Bertrand
1002421 Institut de Mécanique et d'Ingénierie [I2M]
LE TYRANT, Karin
ccDE PONTEVÈS, Caroline

URI
http://hdl.handle.net/10985/25406
Date
2024-05

Abstract

This research aims to develop an acoustic design methodology for CLT floor assemblies using artificial neural networks approach by integration of life cycle assessment (LCA). 72 Lab-based measurements are used to develop the acoustic prediction tool. They are related to 29 different CLT-based floor assemblies. The weighted sound reduction index (Rw), and the weighted normalized impact sound pressure level (Ln,w) are estimated with an accuracy of 2 dB. Then a LCA study is conducted on wooden assemblies. The acoustic performance and their environmental impacts are compared to highlight trends that may guide decision-makers in the design phase. This paper initially found that CLT-based floor assemblies generally increase the environmental impacts to achieve better acoustic insulation. However, a good sound attenuation can be reached by selecting suitable acoustic solutions.

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