Residential balconies with road traffic noise : a combined source image and radiosity model

Naish, Daniel A. & Tan, Andy C.C. (2008) Residential balconies with road traffic noise : a combined source image and radiosity model. In Lee, C.W. (Ed.) Proceedings of the 15th International Congress on Sound and Vibration (ICSV15), The Korean Society for Noise and Vibration Engineering, Daejeon, Korea, pp. 864-871.

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Several significant studies have been made in recent decades toward understanding road traffic noise and its effects on residential balconies. These previous studies have used a variety of techniques such as theoretical models, scale models and measurements on real balconies. The studies have considered either road traffic noise levels within the balcony space or inside an adjacent habitable room or both. Previous theoretical models have used, for example, simplified specular reflection calculations, boundary element methods (BEM), adaptations of CoRTN or the use of Sabine Theory. This paper presents an alternative theoretical model to predict the effects of road traffic noise spatially within the balcony space. The model includes a specular reflection component by calculating up to 10 orders of source images. To account for diffusion effects, a two compartment radiosity component is utilised. The first radiosity compartment is the urban street, represented as a street with building facades on either side. The second radiosity compartment is the balcony space. The model is designed to calculate the predicted road traffic noise levels within the balcony space and is capable of establishing the effect of changing street and balcony geometries. Screening attenuation algorithms are included to determine the effects of solid balcony parapets and balcony ceiling shields.

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ID Code: 70635
Item Type: Conference Paper
Refereed: No
ISBN: 9788996128410
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Please consult the author.
Deposited On: 30 Apr 2014 23:39
Last Modified: 30 Apr 2014 23:39

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