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Optimal Prestress Investigation on Tensegrity Structures Using Artificial Fish Swarm Algorithm
- Source :
- Advances in Civil Engineering, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- To obtain the optimal uniform prestress of a tensegrity structure with geometric configuration given, a novel method is developed for prestress design of tensegrity structures by utilizing the artificial fish swarm algorithm (AFSA). In the beginning, the form-finding process is implemented by solving a linear homogeneous system concerning the self-equilibrium system. The issue is subsequently performed as a minimum problem by regulating the value of an objective function where the unilateral condition and the stress uniformity condition are entirely considered. The AFSA is adopted to search for the global minimum, leading to a set of initial prestresses that guarantee all the above conditions. Two illustrative examples have been fully studied to prove the accuracy and efficiency of the presented approach in prestress design of tensegrities according to the practical requirements. Furthermore, the numerical examples investigated in this paper confirm that the AFSA has explicit advantages of rapid convergence and overcoming the local minima.
- Subjects :
- Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 16878086 and 16878094
- Volume :
- 2020
- Database :
- Directory of Open Access Journals
- Journal :
- Advances in Civil Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.89e1c41259c4458dabe8987dedcf84a6
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2020/1942373