id |
caadria2018_210 |
authors |
Lin, Yuqiong, Zheng, Jingyun, Yao, Jiawei and Yuan, Philip F. |
year |
2018 |
title |
Research on Physical Wind Tunnel and Dynamic Model Based Building Morphology Generation Method |
source |
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 165-174 |
doi |
https://doi.org/10.52842/conf.caadria.2018.2.165
|
summary |
The change of the building morphology directly affects the surrounding environment, while the evaluation of these environment data becomes the main basis for the genetic iterations of the building morphology. Indeed, due to the complexity of the outdoor natural ventilation, multiple factors in the site could be the main reasons for the change of air flow. Thus, the architect is suggested to take the wind environment as the main morphology generation factor in the early stage of the building design. Based on the research results of 2017 DigitalFUTURE Wind Tunnel Visualization Workshop, a novel self-form-finding method in design infancy has been proposed. This method uses Arduino to carry out the dynamic design of the building model, which can not only connect the sensor to monitor the wind environment data, but also contribute the building model to correlate with the wind environment data in real time. The integration of the Arduino platform and the physical wind tunnel can create the possibility of continuous and real-time physical changes, data collection and wind environment simulation, using quantitative environmental factors to control building morphology, and finally achieve the harmony among the building, environment and human. |
keywords |
Physical wind tunnel; dynamic model; building morphology generation; environmental performance design; wind environment visualization |
series |
CAADRIA |
email |
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full text |
file.pdf (7,100,340 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:59 |
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