Abstract
Composite materials are valued in architecture for their remarkable strength-to-weight ratio and ability to shape intricate structures. However, conventional methods relying on single-use molds raise environmental concerns. Recent advancements in moldless fabrication, particularly self-morphing techniques’ leverage geometric frustration— internal stresses gemrated by material architecture. Uniaxial shrinkage in composites, traditionally seen as distortions’ can be harnessed to create a self-shaping mechanism, enabling the achievement of complex geometries by varyingfiber orientations. This paper addresses the inverse problem of self-morphing composites, aiming at the generation of production plans from desired designs for morphing. We propose leveraging machine learning, notably Convolutional Neural Networks (CNNs), topredictfiber layouts using 2D data matrices. The paper outlines the use of simulations to construct a dataset for training CNN models to predict the fiber layouts required to achieve design geometry. The contribution of this work is to advance digital design and simulation methods and tools towards the implementation of self-morphing matter in architecturalfabrication.
Original language | English |
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Title of host publication | Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024 |
Editors | Odysseas Kontovourkis, Marios C. Phocas, Gabriel Wurzer |
Publisher | Education and research in Computer Aided Architectural Design in Europe |
Pages | 293-302 |
Number of pages | 10 |
ISBN (Print) | 9789491207372 |
DOIs | |
State | Published - 2024 |
Externally published | Yes |
Event | 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024 - Nicosia, Cyprus Duration: 9 Sep 2024 → 13 Sep 2024 |
Publication series
Name | Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe |
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Volume | 1 |
ISSN (Print) | 2684-1843 |
Conference
Conference | 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024 |
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Country/Territory | Cyprus |
City | Nicosia |
Period | 9/09/24 → 13/09/24 |
Bibliographical note
Publisher Copyright:© 2024, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
Keywords
- CNN
- composite materials
- digitalfabrication
- geometric frustration
- inverse design
- machine learning
- moldless fabrication
- Self-morphing