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Physics-informed neural network for inverse kinematics of waterbomb origami tubes

delete2026-08-06
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PRE
AI
S
Shuo Xin
Q
Qian Yao
Z
Zhao Yang
Z
Zhi Zhai
Q
Qiang Chen *
DOI：10.1016/j.tws.2026.115494delete
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Abstract

Abstract

En 中文
• A label-free PINN solves inverse kinematics of Waterbomb origami tubes. • Adaptive slack relaxation and topological ordering enable robust convergence. • The framework maps complete folding paths and rigid-foldable geometric domains. • PINN predictions agree with analytical solutions, experiments, and FEA.
Keywords:
Waterbomb origami
Physics-informed neural networks
Rigid folding
Bistable mechanisms
Origami metamaterials

Journal

T
Thin-Walled Structures
IF:
6.6
Papers:
1.1W
Citations:
4.0W

Organization

X
xi'an jiaotong university
Scholars:
8.9W
Papers: 6.5W
Citations: 75
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