De Rycke, Klaas; Bou Akl, Natacha; (2022) Behavioural Space Generator: An algorithmic tool for plan modelling through the formalisation of empirical decisions. In: Proceedings of the The 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022). (pp. pp. 1-16). DigitalFUTURES: Shanghai, China.

Preview

Text CDRF_2022_paper_68_Behavioural Space Generator.pdf - Accepted Version Download (1MB) | Preview

Abstract

This study proposes a translation of human occupation, specifically activities, into algorithmic rules that create and morph geometry. It culminates in the development of a computational design tool that generates architectural plans based on behavioural patterns. This modelling tool is offered as a plug-in for the visual programming software Grasshopper. A quantification of the rather qualitative data dealt with here, enables a novel interaction with the more scientifically defined systems of architectural creation. Particularly, a focus is drawn on the interplay between the shape of the furniture and the distribution of structural elements present in the same space. The tool is implemented on a school competition brief and results are compared with the winning architectural project. Scripting common constructors for previously heterogeneous elements gives rise to novel design configurations and further ground for communication.

Download activity - last month

Export as CSVXMLJSON

Download activity - last 12 months

Export as XMLJSONCSV

Downloads by country - last 12 months

Export as CSVJSONXML

Archive Staff Only

View Item