id |
caadria2024_91 |
authors |
Lin, Bo-Young and Lin, Wei |
year |
2024 |
title |
A Parametric Method in Room Acoustics Simulation With Performance Verification: Real-Time Ray Tracing Techniques in Parametric Modeling |
doi |
https://doi.org/10.52842/conf.caadria.2024.1.405
|
source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 405–414 |
summary |
Since not all architectural projects can be involved in performance design calculations or optimizations, this study aims to reduce user technical barriers and enhance the visualization of the evaluation process. This paper introduces a parametric approach to room acoustics simulation, offering an interactive interface for modeling and simulation. By using Rhino-Grasshopper as a real-time ray tracing interface, both the Image Source Method (ISM) and Early Scattered Method (ESM) are employed for ray particle rebound tracking and analysis. The feasibility and analysis of spatial acoustic assessment tools are explored through the combination of data visualization and open-source parameter design meth. This research diversifies spatial models using various modeling tools like Revit, ArchiCAD 25, Rhinoceros 3ds, and SketchUp. This approach enables the evaluation of the effects and disparities caused by different modeling systems on simulation calculations. Furthermore, this paper also highlights the potential optimization of the Building Information Modeling (BIM) design workflow process. The results underscore the relationship between improved simulation accuracy and the utilization of numerical calculations, referencing benchmark simulation software ODEON for data comparison and review. |
keywords |
room acoustics simulation, parametric modeling, rhino-grasshopper, real-time analysis, ray tracing methods, SDG 9 |
series |
CAADRIA |
email |
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full text |
file.pdf (2,199,933 bytes) |
references |
Content-type: text/plain
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Bassuet, A., Rife, D., & Dellatorre, L. (2014)
Computational and optimization design in geometric acoustics
, Building Acoustics, 21(1), 75-85
|
|
|
|
Brandao, E., Santos, E. S., Melo, V. S., Tenenbaum, R. A., & Mareze, P. H. (2022)
On the performance investigation of distinct algorithms for room acoustics simulation
, Applied Acoustics, 187, 108484
|
|
|
|
Echenagucia, T. M., Shtrepi, A. A. M. S. L., & van der Harten, A. (2013)
NURBS and mesh geometry in room acoustic ray-tracing simulation
, Proceedings of the AIA-DAGA 2013 conference Merano, Merano-Italy
|
|
|
|
Kim, H., Remaggi, L., Fowler, S., Jackson, P. J., & Hilton, A. (2020)
Acoustic room modeling using 360 stereo cameras
, IEEE Transactions on Multimedia, 23, 4117-4130. DOI: 10.1109/TMM.2020.3037537
|
|
|
|
Lombardo, A., Shtrepi, L., & Astolfi, A. (2020)
Applicability of multi-objective optimization in classroom acoustics design using analytical and geometrical acoustic models
, Forum Acusticum (pp. 1605-1608)
|
|
|
|
Savioja, L., & Svensson, U. P. (2015)
Overview of geometrical room acoustic modeling techniques
, The Journal of the Acoustical Society of America, 138(2), 708-730. https://doi.org/10.1121/1.4926438
|
|
|
|
Tan, Y., Fang, Y., Zhou, T., Gan, V. J., & Cheng, J. C. (2019)
A BIM-supported 4D acoustics simulation approach to mitigating noise impact on maintenance workers on offshore oil and gas platforms
, Automation in Construction, 100, 1-10
|
|
|
|
Van der Harten, A. W., & Goodman, C. (2019)
Novel applications of re-tooled open-source acoustic simulation algorithms
, The Journal of the Acoustical Society of America, 146(4_Supplement), 2801-2801
|
|
|
|
Van der Harten, A. (2011)
Customized room acoustics simulations using scripting interfaces
, Proceedings of Meetings on Acoustics (Vol. 12, No. 1). AIP Publishing
|
|
|
|
Xu, Q., & Wang, H. (2022)
Sound field modeling method and key imaging technology of an ultrasonic phased array: A review
, Applied Sciences, 12(16), 7962
|
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|
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last changed |
2024/11/17 22:05 |
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