Topology Optimization for Static Nonlinear Structures Using Imperialist Competitive Algorithm
- Title
- Topology Optimization for Static Nonlinear Structures Using Imperialist Competitive Algorithm
- Author
- 한석영
- Keywords
- Imperialist Competitive Algorithm; Meta-heuristic algorithm; Topology optimization; Finite element method; Nonlinear Structures
- Issue Date
- 2016-10
- Publisher
- ICMTE 2016
- Citation
- Proceedings of the International Conference of Manufacturing Technology Engineers (ICMTE) 2016, Page. 101-101
- Abstract
- The imperialist competitive algorithm (ICA), derived from the field of human social evolution, is a meta-heuristic method. In
this research, the ICA and finite element analysis are adopted for topology optimization for static nonlinear structures. The
following conclusions are obtained from the results of examples through the suggested topology optimization algorithm based
on the ICA; (1) The ICA is very applicable and effective in nonlinear structural topology optimization for obtaining a stable
and robust optimal layout. (2) The optimal topology from the ICA has converged significantly fast compared to other
topology optimization methods.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07078906https://repository.hanyang.ac.kr/handle/20.500.11754/98959
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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