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Movahedi F, Akhbari M H. A Biotensegrity Model of the Human Spine Using a Multi-Objective Optimization Approach. jor 2026; 23 (3)
URL: http://jamlu.lahijan.iau.ir/article-1-2260-en.html
URL: http://jamlu.lahijan.iau.ir/article-1-2260-en.html
Department of Mathematics, Faculty of Sciences, Golestan University, Gorgan, Iran , f.movahedi@gu.ac.ir
Abstract: (57 Views)
This paper presents a novel five-stage biotensegrity model for the simulation and structural investigation of the human spine. By extending existing models to a five-stage configuration, this approach more accurately approximates natural spinal curvature. To generate a collision-free geometry and determine the self-equilibrium force state, a form-finding algorithm (the SBS algorithm) is introduced, incorporating iterative cell twist-angle adjustment and nodal coordinate modification. The resulting model consists of 30 nodes and 87 members (15 compression and 72 tension members). Axial forces were determined by formulating a multi-objective optimization problem, solved via a multi-objective genetic algorithm (gamultiobj), with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) utilized to select the most suitable solutions from the Pareto-optimal set. Finite element analysis in ADINA confirms the physical validity of the force distribution. Numerical results demonstrate that this framework effectively achieves self-equilibrium and reproduces human spinal curvature, offering a robust tool for biomechanical modeling.
Keywords: Biotensegrity, Multi-objective optimization, Geometric model, Human Spine, Pareto Solution.
Type of Study: Applicable |
Subject:
Special
Received: 2026/04/9 | Accepted: 2026/08/29 | Published: 2026/09/11
Received: 2026/04/9 | Accepted: 2026/08/29 | Published: 2026/09/11
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