Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature
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 coordinat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/5/2377 |
| _version_ | 1827652022819618816 |
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| author | Chai Lian Oh Kok Keong Choong Toku Nishimura Jae-Yeol Kim |
| author_facet | Chai Lian Oh Kok Keong Choong Toku Nishimura Jae-Yeol Kim |
| author_sort | Chai Lian Oh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T20:48:41Z |
| format | Article |
| id | doaj.art-807a990ee0874577853118f71d203480 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T20:48:41Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-807a990ee0874577853118f71d2034802023-11-23T22:39:51ZengMDPI AGApplied Sciences2076-34172022-02-01125237710.3390/app12052377Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine CurvatureChai Lian Oh0Kok Keong Choong1Toku Nishimura2Jae-Yeol Kim3School of Civil Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam 40450, MalaysiaSchool of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, MalaysiaDepartment of Architecture, College of Architecture, Kanazawa Institute of Technology, Hakusan 924-0838, JapanDepartment of Architectural Engineering, Hyupsung University, Hwaseong 445-745, KoreaThis 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.https://www.mdpi.com/2076-3417/12/5/2377biotensegrityshape changetensegrityspineoptimizationsequential quadratic programming |
| spellingShingle | Chai Lian Oh Kok Keong Choong Toku Nishimura Jae-Yeol Kim Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature Applied Sciences biotensegrity shape change tensegrity spine optimization sequential quadratic programming |
| title | Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature |
| title_full | Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature |
| title_fullStr | Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature |
| title_full_unstemmed | Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature |
| title_short | Multi-Directional Shape Change Analysis of Biotensegrity Model Mimicking Human Spine Curvature |
| title_sort | multi directional shape change analysis of biotensegrity model mimicking human spine curvature |
| topic | biotensegrity shape change tensegrity spine optimization sequential quadratic programming |
| url | https://www.mdpi.com/2076-3417/12/5/2377 |
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