| id |
ijac202018106 |
| authors |
Koronaki, Antiopi; Paul Shepherd and Mark Evernden |
| year |
2020 |
| title |
Rationalization of freeform space-frame structures: Reducing variability in the joints |
| source |
International Journal of Architectural Computing vol. 18 - no. 1, 84-99 |
| summary |
In recent years, the application of space-frame structures on large-scale freeform designs has significantly increased due to their lightweight configuration and the freedom of design they offer. However, this has introduced a level of complexity into their construction, as doubly curved designs require non-uniform configurations. This article proposes a novel computational workflow that reduces the construction complexity of freeform space-frame structures, by minimizing variability in their joints. Space-frame joints are evaluated according to their geometry and clustered for production in compliance with the tolerance requirements of the selected fabrication process. This provides a direct insight into the level of customization required and the associated construction complexity. A subsequent geometry optimization of the space-frame’s depth minimizes the number of different joint groups required. The variables of the optimization are defined in relation to the structure’s curvature, providing a direct link between the structure’s geometry and the optimization process. Through the application of a control surface, the dimensionality of the design space is drastically reduced, rendering this method applicable to large-scale projects. A case study of an existing structure of complex geometry is presented, and this method achieves a significant reduction in the construction complexity in a robust and computationally efficient way. |
| keywords |
Geometry optimization, space-frame structures, joint, fabrication process, construction, cost, clustering, control surface |
| series |
journal |
| email |
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| full text |
 file.pdf ( bytes) |
| references |
Content-type: text/plain
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| last changed |
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