@article {BADER EDDIN:2024:0736-2935:6135,
title = "A sound insulation prediction tool and LCA: A comparative study considering different wooden assemblies",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2024",
volume = "270",
number = "5",
publication date ="2024-10-04T00:00:00",
pages = "6135-6145",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2024/00000270/00000005/art00015",
doi = "doi:10.3397/IN_2024_3689",
author = "BADER EDDIN, Mohamad and M{\’e}NARD, Sylvain and LARATTE, Bertrand and LE TYRANT, Karin and DE PONTEVES, Caroline",
abstract = "This paper 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 assemblies that are used to test the network model. 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.",
}