A fully automatic group selection for form-finding process of truncated tetrahedral tensegrity structures via a double-loop genetic algorithm
Numerous studies have developed novel form-finding methods of tensegrity structures using various techniques. Previous works have been limited by the lack of a fully automatic grouping technique in the form-finding process. In this study, an advanced form-finding method of tensegrity structures usin...
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| Published in | Composites. Part B, Engineering Vol. 106; pp. 308 - 315 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.12.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1359-8368 1879-1069 |
| DOI | 10.1016/j.compositesb.2016.09.018 |
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| Abstract | Numerous studies have developed novel form-finding methods of tensegrity structures using various techniques. Previous works have been limited by the lack of a fully automatic grouping technique in the form-finding process. In this study, an advanced form-finding method of tensegrity structures using a fully automatic labeling that can specify the member types. Constraint optimization problems were then used in the form-finding processes to minimize fitness functions by using a double-loop genetic algorithm. A well-known truncated tetrahedral tensegrity is presented to demonstrate the accuracy and efficiency of the proposed method. In conclusion, a very good performance of presented method has been shown in the results.
•An advanced method for form-finding of tensegrity structures is presented.•A fully automatic group selection can be obtained using a penalty strategy with discrete strut condition.•A double-loop GA is used to effectively guide the searching direction towards promising solutions.•The constraint minimization problems by using the equilibrium equations are used.•A very good performance of presented method has been shown in the results. |
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| AbstractList | Numerous studies have developed novel form-finding methods of tensegrity structures using various techniques. Previous works have been limited by the lack of a fully automatic grouping technique in the form-finding process. In this study, an advanced form-finding method of tensegrity structures using a fully automatic labeling that can specify the member types. Constraint optimization problems were then used in the form-finding processes to minimize fitness functions by using a double-loop genetic algorithm. A well-known truncated tetrahedral tensegrity is presented to demonstrate the accuracy and efficiency of the proposed method. In conclusion, a very good performance of presented method has been shown in the results. Numerous studies have developed novel form-finding methods of tensegrity structures using various techniques. Previous works have been limited by the lack of a fully automatic grouping technique in the form-finding process. In this study, an advanced form-finding method of tensegrity structures using a fully automatic labeling that can specify the member types. Constraint optimization problems were then used in the form-finding processes to minimize fitness functions by using a double-loop genetic algorithm. A well-known truncated tetrahedral tensegrity is presented to demonstrate the accuracy and efficiency of the proposed method. In conclusion, a very good performance of presented method has been shown in the results. •An advanced method for form-finding of tensegrity structures is presented.•A fully automatic group selection can be obtained using a penalty strategy with discrete strut condition.•A double-loop GA is used to effectively guide the searching direction towards promising solutions.•The constraint minimization problems by using the equilibrium equations are used.•A very good performance of presented method has been shown in the results. |
| Author | Lee, Seunghye Gan, Buntara Sthenly Lee, Jaehong |
| Author_xml | – sequence: 1 givenname: Seunghye surname: Lee fullname: Lee, Seunghye organization: Department of Architectural Engineering, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea – sequence: 2 givenname: Buntara Sthenly orcidid: 0000-0003-1740-8363 surname: Gan fullname: Gan, Buntara Sthenly organization: Department of Architecture, College of Engineering, Nihon University, 1-Nakagawara, Tokusada, Koriyama City, Fukushima Prefecture 963-8642, Japan – sequence: 3 givenname: Jaehong surname: Lee fullname: Lee, Jaehong email: jhlee@sejoing.ac.kr organization: Department of Architectural Engineering, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea |
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| SubjectTerms | Automatic group selection Automation Efficiency Fitness Force density method Form-finding Genetic algorithm Genetic algorithms Marking Optimization Tensegrity Tensegrity structures |
| Title | A fully automatic group selection for form-finding process of truncated tetrahedral tensegrity structures via a double-loop genetic algorithm |
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