id |
acadia22_300 |
authors |
Zheng, Hao; Akbarzadeh, Masoud |
year |
2022 |
title |
A Web-based Interactive Structural Pattern Generation Tool with Graphic Statics and Machine Learning of Dragonfly Wings |
source |
ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 300-309. |
summary |
The dragonfly wing is among the many natural structures that have intrigued many researchers to study its geometry and performance as a bioinspired design. In previous research, we developed a workflow to use Graphic Statics to analyze the dragonfly wing structure and machine learning models to generate the topology and geometry of a dragonfly wing structure. However, the current workflow involves multiple geometric algorithms and the implementation of complex machine learning models, making it is difficult for designers to follow and use. Therefore, in this paper, we introduce a web-based tool that implements the workflow. |
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ACADIA |
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full text |
file.pdf (6,525,485 bytes) |
references |
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last changed |
2024/02/06 14:00 |
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