| id |
caadria2020_089 |
| authors |
Poinet, Paul, Stefanescu, Dimitrie and Papadonikolaki, Eleni |
| year |
2020 |
| title |
Web-Based Distributed Design to Fabrication Workflows |
| doi |
https://doi.org/10.52842/conf.caadria.2020.1.095
|
| source |
D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 95-104 |
| summary |
As architectural design projects tend to tackle larger scales and become more complex, multiple involved actors often need to work from different remote locations. This increased complexity impacts the digital design-to-fabrication workflows that become more challenging, as each actor involved in a project operates on different software environments and needs to access precise fabrication data of specific design components. Consequently, managing and keeping track of design changes throughout the design-to-fabrication workflow still remains a challenge for all actors involved. This paper discusses how this challenge can be tackled through both Speckle, a complete open source data platform for the Architecture, Engineering and Construction (AEC), and SpeckleViz, a custom web-based interactive Activity Network Diagram (AND) built upon Speckle. SpeckleViz continuously maps data transfers across design and building processes, enabling the end-users to explore, interact and get a better understanding of the constantly evolving digital design workflows. This is demonstrated in this paper through a computational design and digital fabrication workshop conducted at the Centro de Estudios Superiores de Diseño de Monterrey (CEDIM), during which an integrative, file-less collaborative design workflow has been set through Speckle, connecting different Rhino-Grasshopper sessions acting as discrete computational design pipelines. |
| keywords |
Collaborative Workflows; Distributed Design; Activity Network Diagram; Data Flow |
| series |
CAADRIA |
| email |
p.poinet@ucl.ac.uk |
| full text |
 file.pdf (1,877,868 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 08:00 |
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