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Titel:

Structural Embodiment – Unified Workflow and Toolkit for Form-finding, Solid Geometry Generation and Visualisation via Deep Learning Methods

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Sun, Tao; D'Acunto, Pierluigi; Petzold, Frank
Abstract:
This paper introduces a deep learning-driven workflow and toolkit, the Structural Embodiment Toolkit on the McNeel Grasshopper platform, that supports the conceptual structural design process by streamlining form-finding, solid geometry generation, and AI-powered visualisation within a single CAD environment. The toolkit equips users with adaptors for incorporating results from established form-finding tools such as Combinatorial Equilibrium Modelling (CEM) and Kangaroo Physics, facilitating the...     »
Kongress- / Buchtitel:
Proceedings of the IASS 2024 Symposium
Jahr:
2024
 BibTeX