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Constrained Form-Finding of Tension-Compression Structures using Automatic Differentiation
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DOI：10.1016/j.cad.2022.103435.png)
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Abstract
En 中文
This paper proposes a computational approach to form-find pin-jointed bar structures subjected to combinations of tension and compression forces. The generated equilibrium states can meet structural and geometrical constraints via gradient-based optimization. We achieve this by extending the combinatorial equilibrium modeling (CEM) framework in three important ways. First, we introduce a new topological object, the auxiliary trail, to expand the range of structures that can be form-found with the framework. Then, we leverage automatic differentiation (AD) to obtain an exact value of the gradient of the sequential and iterative calculations of the CEM form-finding algorithm, instead of a numerical approximation. Finally, we encapsulate our research developments in an open-source design tool written in Python that is usable across different CAD platforms and operating systems. After studying four different structures - a self-stressed tensegrity, a tree canopy, a curved bridge, and a spiral staircase - we demonstrate that our approach enables the solution of constrained form-finding problems on a diverse range of structures more efficiently than in previous work. (c) 2022 Elsevier Ltd. All rights reserved.
Keywords:
Form-finding
Shape optimization
Automatic differentiation
Structural design
Design tool
Combinatorial equilibrium modeling
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