A fully automatic group selection for form-finding process of truncated tetrahedral tensegrity structures via a double-loop genetic algorithm. (1st December 2016)

• Record Type: Journal Article
• Authors: Lee, Seunghye; Gan, Buntara Sthenly; Lee, Jaehong
• Is Part Of: Composites. Volume 106(2016)
• Page Start: 308
• Page End: 315
• Publication Date: 2016-12-01
• Subjects: Tensegrity -- Form-finding -- Force density method -- Automatic group selection -- Genetic algorithm; Composite materials -- Periodicals; Materials science -- Periodicals; Composite materials; Periodicals; Electronic journals; 620.118
• DOI: 10.1016/j.compositesb.2016.09.018
• Languages: English
• ISSNs: 1359-8368

Abstract

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. Highlights: 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.