Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures
Tensegrity form-finding and physical property prediction are fundamental problems in structural mechanics, which aim to determine equilibrium configurations and internal force distributions. These problems are challenging due to strong nonlinearity arising from the coupling between geometry and forces, and the need to satisfy equilibrium, stability, and structural constraints. This paper proposes an energy-based learning approach for clustered tensegrity form finding and physical property prediction. The proposed approach incorporates total potential energy minimization and constitutive relations into the training objective, enabling the prediction of equilibrium nodal configurations and ...
| Authors | Jing Qin, Muhao Chen |
|---|---|
| Primary category | cs.LG |
| Published | 14 July 2026 |
| Last updated at source | 28 August 2026 |
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