| id |
ecaadesigradi2019_510 |
| authors |
Giannopoulou, Effima, Baquero, Pablo, Warang, Angad, Orciuoli, Affonso and T. Estévez, Alberto |
| year |
2019 |
| title |
Stripe Segmentation for Branching Shell Structures - A Data Set Development as a Learning Process for Fabrication Efficiency and Structural Performance |
| doi |
https://doi.org/10.52842/conf.ecaade.2019.3.063
|
| source |
Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 63-70 |
| summary |
This article explains the evolution towards the subject of digital fabrication of thin shell structures, searching for the computational design techniques which allow to implement biological pattern mechanisms for efficient fabrication procedures. The method produces data sets in order to analyse and evaluate parallel alternatives of branching topologies, segmentation patterns, material usage, weight and deflection values as a user learning process. The importance here is given to the selection of the appropriate attributes, referring to which specific geometric characteristics of the parametric model are affecting each other and with what impact. The outcomes are utilized to train an Artificial Neural Network to predict new building information based on new combinations of desired parameters so that the user can decide and adjust the design based on the new information. |
| keywords |
Digital Fabrication; Shell Structures; Segmentation; Machine Learning; Branching Topologies; Bio-inspired |
| series |
eCAADeSIGraDi |
| email |
|
| full text |
 file.pdf (10,050,573 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:51 |
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