Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature
Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature
复制标题
DOI：
10.3390/app12052377
复制
发表时间：
2022-02
期刊：
影响因子：
--
通讯作者：
Oh Chai Lian;Choong Kok Keong;T. Nishimura;Kim Jae-Yeol
中科院分区：
文献类型：
--
作者：
Oh Chai Lian;Choong Kok Keong;T. Nishimura;Kim Jae-Yeol
本文提出了一种多向模式下脊柱生物张拉完整性模型形状变化分析的数值策略。提出了利用索的强制伸长进行形状变化分析的增量平衡方程和优化问题，以实现脊柱生物张拉整体模型监测节点的目标坐标。在构件轴向力和索强迫伸长不相等约束下，选取监测节点与目标坐标之间的距离作为目标函数，使目标函数最小。通过对三种脊柱生物张拉完整性模型的分析，验证了该方法的有效性。研究了模拟人体脊柱自然曲率的1类四阶段生物张拉完整性模型的变形特性。在258个分析案例中，获得目标坐标的成功率很高，其中单向、双向和双向形状变化分析的成功率分别为99.9%、99.9%和98.9%。结果表明，与轴向变形相比，生物张拉整体模型具有更大的弯曲柔韧性。通过建立的形状变化策略，可以进一步研究脊柱生物张拉整体模型运动的灵活性和多功能性，并结合物联网在可展开结构的形状变化控制中的潜在应用。
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 constraints on member axial forces and cable forced elongation. 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 undergoing 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.