CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2019_551
authors Zheliazkova, Maia, Kummamuru, Bhargava Ram and Paoletti, Ingrid
year 2019
title A Computational Workflow for Understanding Acoustic Performance in Existing Buildings
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 443-452
summary Designing the acoustic conditions of the built environment we live in is fundamental to improving our daily life. However, architects and designers still know very little about the way buildings perform in terms of sound. In order to facilitate the comprehension, and therefore the design of acoustic solutions, it is here proposed a methodology for the investigation of existing architectural spaces. The paper discusses a low-cost setup and computational methodology to create an advanced mapping of spaces with the goal of supporting custom design solutions. A case study is used to apply and compare the sensitivity of the proposed approach with professional equipment. The results show that portable systems can be a viable way to understand how our spaces perform in terms of sound, and encourage the diffusion of performance-driven acoustics design.
keywords Performance-based design; User-space interaction; Architectural acoustics; Sound measurements and sensing
series CAADRIA
email maiaevgenieva.zheliazkova@polimi.it
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