A discrete geometry-based optimization model for coupling topology and nodal coordinates in biorthogonal tensegrity structures

Tensegrity is a lightweight and efficient structural system that intimately combines force and form. Existing optimization models coupling topology and nodal coordinates are limited to the design of smaller-scale structures, which imposes higher demands on the designer’s experience and restricts the development of free-form tensegrity designs. A discrete geometry-based optimization model of biorthogonal tensegrity structure coupling topology and nodal position is proposed in this study. By utilizing graph theory, we unify the design of rectangular, annular, and sector extension structures into a single framework. By discretizing curves and surfaces, the nodal constraints are liberated from explicit mathematical expressions, offering designers the freedom to create tensegrity structures of any shape or even simple sketches. This approach significantly reduces the computational complexity of mixed-integer nonlinear programming models, broadening their application in tensegrity design. Furthermore, equilibrium equations based on the force density method are derived to account for rigid body effects, which extends the applicability of the coupled topology and nodal coordinate optimization model. The numerical examples provided validate the effectiveness of the proposed model.

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Publication Details

Journal
Computers & Structures
Published
2025-06-18
DOI
https://doi.org/10.1016/j.compstruc.2025.107863
Citations
1
Primary Topic
Structural Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.95

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article

A discrete geometry-based optimization model for coupling topology and nodal coordinates in biorthogonal tensegrity structures

Yafeng Wang, Shaoxiong Huang, Xian Xu
1 citations
Computers & Structures
Structural Analysis and Optimization
0.95
article

A discrete geometry-based optimization model for coupling topology and nodal coordinates in biorthogonal tensegrity structures

Yafeng Wang, Shaoxiong Huang, Xian Xu
article en
1 citations

Abstract

Tensegrity is a lightweight and efficient structural system that intimately combines force and form. Existing optimization models coupling topology and nodal coordinates are limited to the design of smaller-scale structures, which imposes higher demands on the designer’s experience and restricts the development of free-form tensegrity designs. A discrete geometry-based optimization model of biorthogonal tensegrity structure coupling topology and nodal position is proposed in this study. By utilizing graph theory, we unify the design of rectangular, annular, and sector extension structures into a single framework. By discretizing curves and surfaces, the nodal constraints are liberated from explicit mathematical expressions, offering designers the freedom to create tensegrity structures of any shape or even simple sketches. This approach significantly reduces the computational complexity of mixed-integer nonlinear programming models, broadening their application in tensegrity design. Furthermore, equilibrium equations based on the force density method are derived to account for rigid body effects, which extends the applicability of the coupled topology and nodal coordinate optimization model. The numerical examples provided validate the effectiveness of the proposed model.

Computers & StructuresVol. 316
Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 25%
Structural Analysis and Optimization
0.95
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