A Computational Tool for the Analysis of 3D Bending-active Structures Based on the Dynamic Relaxation Method

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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The use of elastic deformation of straight or flat structural components for achieving complex 3D shapes has acquired attention from recent computational design works, particularly in architectural geometry. The so-called bending-active structures are built by deforming and restraining the components mutually to form a stable configuration. While the manufacturing of components from flat raw material and their assembly are simple and inexpensive, the complexity lies in the design phase, in which computational tools are required to predict the deformation and forces under a prescribed form-finding load or displacement. Currently, there is a scarcity of open and efficient tools that hinder the design of bending-active structures. This paper proposes and validates an open-source computational tool for predicting the static equilibrium of general bending-active structures in the form of a network of elements using the dynamic relaxation method. We apply our tool to various real-world examples and compare the results to a commercial FEM solver. The proposed tool shows accuracy and good time performance, making it a significant addition to the available open-source structural engineering toolkit.
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@inproceedings{
10.2312:stag.20221250
, booktitle = {
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
}, editor = {
Cabiddu, Daniela
and
Schneider, Teseo
and
Allegra, Dario
and
Catalano, Chiara Eva
and
Cherchi, Gianmarco
and
Scateni, Riccardo
}, title = {{
A Computational Tool for the Analysis of 3D Bending-active Structures Based on the Dynamic Relaxation Method
}}, author = {
Manolas, Iason
and
Laccone, Francesco
and
Cherchi, Gianmarco
and
Malomo, Luigi
and
Cignoni, Paolo
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISSN = {
2617-4855
}, ISBN = {
978-3-03868-191-5
}, DOI = {
10.2312/stag.20221250
} }
Citation