AXIAL DEFORMATION OF SPINEBIO-TENSEGRITY MODELAT DIFFERENT DEPLOYABLE SCHEMES

Authors

  • Nur Hazira Rosli China Communication Construction (ECRL) Sdn Bhd, Section 8, Ecosky, 188, Jln Kuching, Taman Tasik Indah, 51200 Kuala Lumpur, Malaysia
  • Syed Muhammad Syed Yahya School of Civil Engineering, College of Engineering, Universiti Teknologi MARA, 81750, Masai, Johor, Malaysia https://orcid.org/0000-0001-6368-9640
  • Lee Siong Wee School of Civil Engineering, College of Engineering, Universiti Teknologi MARA, 81750, Masai, Johor, Malaysia https://orcid.org/0000-0003-1558-7871
  • Toku Nishimura Department of Architecture, College of Architecture, Kanazawa Institute of Technology, Hakusan 924-0838, Japan https://orcid.org/0000-0003-3185-4853
  • Oh Chai Lian School of Civil Engineering, College of Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia https://orcid.org/0000-0002-9474-8276

DOI:

https://doi.org/10.11113/jurnalteknologi.v86.21028

Keywords:

Biotensegrity, convergence curve, deployable, sequential quadratic programming, spine

Abstract

The study presents the axial deformation of a spine bio-tensegrity model through a shape change strategy with different deployment schemes. The spine bio-tensegrity model mimics the total height, tapered form and natural curvature of a human spine. Three deployable schemes S1-S3 with a different combination of cables at alterable and fixed lengths (at the lower, middle and upper part of the model, respectively) were investigated to achieve a series of axial displacements at 200 mm, 400 mm and 600 mm in the z-direction. The shape change algorithm was developed to optimise the forced elongation of cables, incorporating an objective function designed for monitored nodes in the system to reach their prescribed targets during the optimisation process. Sequential quadratic programming was employed to solve a nonlinear optimisation problem in the shape change analysis involving inequality constraints. The efficiency of the deployable schemes was evaluated based on the deformed shapes, convergence curve and axial forces of the spine bio-tensegrity model. The finding shows in addition to axial deformation, the model in deployment scheme S1 preserves the slenderness characteristic of the spine. In contrast, the model exhibits excessive expansion in the thoracic region in schemes S2 and S3.  Greater total computational steps in deployment scheme S3, followed by S2 and S1, reveal that the active cables set near the monitored nodes allow the model to sense and act faster to reach their targets. The study contributes to understanding the structural behaviour and deployment strategy for a structure mimicking a biological system.

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Published

2024-09-17

Issue

Section

Science and Engineering

How to Cite

AXIAL DEFORMATION OF SPINEBIO-TENSEGRITY MODELAT DIFFERENT DEPLOYABLE SCHEMES. (2024). Jurnal Teknologi (Sciences & Engineering), 86(6), 49-60. https://doi.org/10.11113/jurnalteknologi.v86.21028