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This paper outlines a method for the geometry optimization of space frame structures for joint uniformity. Joints are one of the main drivers for the constructibility of space frames, as they represent a high percentage of the overall material and fabrication cost. They are studied in relation to the geometrical complexity of the design surface and the fabrication process applied. A computational workflow is proposed for their geometrical optimization, which comprises of three steps: the comparison and identification of varying joint configurations within a structure, their clustering into a minimum number of groups that satisfies a given tolerance, and finally their geometrical optimization for joint uniformity. The efficiency of the proposed workflow is validated through a variety of examples and comparisons. Developed in a intuitive user-interface environment, it allows designers to carry out early design studies to minimize the construction cost of their proposals and enhance the application of informed space frame designs in practice.
|Publication status||Published - 13 Jul 2018|
|Event||IASS Annual Symposium 2018: Creativity in Structural Design - MIT, Boston, USA United States|
Duration: 16 Jul 2018 → 20 Jul 2018
|Conference||IASS Annual Symposium 2018|
|Abbreviated title||IASS 2018|
|Country/Territory||USA United States|
|Period||16/07/18 → 20/07/18|
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- 1 Finished
1/07/16 → 31/12/19
Project: Research council