| id |
caadria2021_242 |
| authors |
Joe, Joshua and Pelosi, Antony |
| year |
2021 |
| title |
PARAMTR v2 - Human-Generative Design tools for prefabricating large-scale residential developments. |
| doi |
https://doi.org/10.52842/conf.caadria.2021.1.041
|
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 41-50 |
| summary |
Designers are encountering more issues with complexity, scale and performance requirements increase in residential projects. Prefabrication and generative design tools have the potential to significantly reduce construction time, cost, and material waste at scale. Building upon existing research, this paper further investigates how human-generative design tools can improve building performance and feasibility of prefabrication at scale whilst encouraging design variance. In this context, human-generative design tools refer to a partially algorithmic design tool that facilitates an open-box, collaborative approach to design. Following initial research-based design, a new human-generative tool was created (PARAMTR) to address the aforementioned issues using a design-based research methodology. Based on the research performed during the literature review and from initial design results, PARAMTR shows the potential to halve construction time on residential projects in combination with increased manufacturing efficiency. Design outputs share no design commonality, yet use almost 10 times less unique components across four houses when compared to existing residential projects. In combination with the overall benefits discussed and associated with prefabrication, material waste, cost, design time and complexity are expected to be reduced. The paper will discuss further progress towards designing and building smarter homes at scale. |
| keywords |
generative design; generative prefabrication; parametric; residential; prefabrication |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,765,761 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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