Semantic Scholar Open Access 2022 4 sitasi

Building information modeling (BIM) automation for architectural acoustics, mechanical noise calculation

Josh Thede Nick Boyts J. Teel Kevin Butler Elaina Bargas +1 lainnya

Abstrak

There are several established procedures and design tools for estimating the background sound levels from heating, ventilation and air-conditioning (HVAC) building systems. Building Information Modeling (BIM) is a process commonly used in architecture, engineering, and construction that uses data to generate digital representations of a building’s physical and functional characteristics. We will demonstrate a BIM-automated design tool which uses a Dynamo script and a Revit model duct layout to estimate HVAC noise levels in buildings. With just a few inputs in the model, the script calculates the sound attenuation of each duct element and receiver room sound correction to estimate the HVAC background sound level in any space or building type. Leveraging existing data through BIM automation can help create efficient, optimized designs and improve coordination between mechanical engineers, architects, and acoustical consultants to meet acoustical design criteria.

Penulis (6)

J

Josh Thede

N

Nick Boyts

J

J. Teel

K

Kevin Butler

E

Elaina Bargas

A

Adam S Roth

Format Sitasi

Thede, J., Boyts, N., Teel, J., Butler, K., Bargas, E., Roth, A.S. (2022). Building information modeling (BIM) automation for architectural acoustics, mechanical noise calculation. https://doi.org/10.1121/10.0010643

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1121/10.0010643
Akses
Open Access ✓