Multi‐Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature

• Published in: Applied Sciences (Switzerland)
• Main Author: Lian O.C.; Keong C.K.; Nishimura T.; Jae‐yeol K.
• Format: Article
• Language: English
• Published: MDPI 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125463868&doi=10.3390%2fapp12052377&partnerID=40&md5=79c1dff3e6ed3464773ba6b14f005d6f

This paper presents a numerical strategy for the shape change analysis of spine bioten-segrity models in multi‐directional modes. The formulation of incremental equilibrium equations and optimization problem for shape change analysis via the forced elongation of cables to achieve the target coordinates of the monitored nodes of spine biotensegrity models are presented. The dis-tance between the monitored nodes and the target coordinates is chosen as the objective function which is minimized subject to inequality constraints on member axial forces and cable forced elon-gation. Three spine biotensegrity models were analyzed to validate the effectiveness of the proposed method. The deformation characteristics of the Class‐1 four‐stage biotensegrity models mimicking the natural curvature of the human spine were investigated. A highly successful rate in achieving the target coordinates was observed in a total of 258 analysis cases, with percentages of 99.9%, 99.9% and 98.9% for shape change analysis involving uni‐, bi‐ and tri‐directional modes, respectively. The results show that the spine biotensegrity models have more flexibility in under-going bending in comparison with axial deformation. With the established shape change strategy, the flexibility and versatility of the movement of spine biotensegrity models can be further studied for potential application in the shape change control of deployable structures together with the use of IoT. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.