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http://dx.doi.org/10.7735/ksmte.2015.24.2.192

Approximate Multi-Objective Optimization of Stiffener of Steel Structure Considering Strength Design Conditions  

Jeon, Eungi (Department of Mechanical Engineering, Graduate School of Yonsei University)
Lee, Jongsoo (Department of Mechanical Engineering, Graduate School of Yonsei University)
Publication Information
Journal of the Korean Society of Manufacturing Technology Engineers / v.24, no.2, 2015 , pp. 192-197 More about this Journal
Abstract
In many fields, the importance of reducing weight is increasing. A product should be designed such that it is profitable, by lowering costs and exhibiting better performance than other similar products. In this study, the mass and deflection of steel structures have to be reduced as objective functions under constraint conditions. To reduce computational analysis time, central composite design(CCD) and D-Optimal are used in design of experiments(DOE). The accuracy of approximate models is evaluated using the $R^2$ value. In this study, the objective functions are multiple, so the non-dominant sorting genetic algorithm(NSGA-II), which is highly efficient, is used for such a problem. In order to verify the validity of Pareto solutions, CAE results and Pareto solutions are compared.
Keywords
Stiffener; Response surface methodology; Central composite design; D-Optimal; Non-dominant sorting genetic algorithm (NSGA-II);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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