A fully automatic group selection for form-finding process of truncated tetrahedral tensegrity structures via a double-loop genetic algorithm

作者：Lee Seunghye; Gan Buntara Sthenly; Lee Jaehong^*

来源：Composites Part B: Engineering , 2016, 106: 308-315.

DOI：10.1016/j.compositesb.2016.09.018

• Tensegrity
• Form-finding
• Force density method
• Automatic group selection
• 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 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.

• 出版日期2016-12-1