2022
DOI: 10.3390/app12052377
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Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature

Abstract: This paper presents a numerical strategy for the shape change analysis of spine biotensegrity 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 distance between the monitored nodes and the target coordinates is chosen as the objective function which is minimized subject to inequality… Show more

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Cited by 9 publications
(3 citation statements)
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“…The adaptation of the geometrical bio-tensegrity model in this study was the continuation of research on spine bio-tensegrity models by Oh et al (2020). The bio-tensegrity model inspires the human spine due to its natural curvature, allowing for shape deformation by incorporating vertebras' movements at certain postures.…”
Section: Geometrymentioning
confidence: 99%
See 1 more Smart Citation
“…The adaptation of the geometrical bio-tensegrity model in this study was the continuation of research on spine bio-tensegrity models by Oh et al (2020). The bio-tensegrity model inspires the human spine due to its natural curvature, allowing for shape deformation by incorporating vertebras' movements at certain postures.…”
Section: Geometrymentioning
confidence: 99%
“…The shape of the bio-tensegrity spine model also accentuates the slenderness and curvature, promoting various shape changes that could be made (Oh et al, 2020). However, multiple degrees of freedom deployment have remained intangible, with small deformations recurrently used in research on the active control of tensegrity structures.…”
Section: Introductionmentioning
confidence: 99%
“…Later, Lian et al [106] presented a form-finding method for three different variations of k = 1 biotensegrity spine models (Figure 34c). They proposed an algorithm capable of simulating the shape change via four states.…”
Section: Bio-inspired Robotsmentioning
confidence: 99%