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http://dx.doi.org/10.5139/JKSAS.2015.43.7.601

Multi-Objective Optimization of Flexible Wing using Multidisciplinary Design Optimization System of Aero-Non Linear Structure Interaction based on Support Vector Regression  

Choi, Won (Poongsan Defense R&D Institute)
Park, Chan-Woo (Department of Aerospace Engineering, Gyeongsang National University)
Jung, Sung-Ki (Engineering Center, Modeling and Applied Social Sciences Federal University of ABC)
Park, Hyun-Bum (Division of Defence Science & Technology, Howon University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.43, no.7, 2015 , pp. 601-608 More about this Journal
Abstract
The static aeroelastic analysis and optimization of flexible wings are conducted for steady state conditions while both aerodynamic and structural parameters can be used as optimization variables. The system of multidisciplinary design optimization as a robust methodology to couple commercial codes for a static aeroelastic optimization purpose to yield a convenient adaptation to engineering applications is developed. Aspect ratio, taper ratio, sweepback angle are chosen as optimization variables and the skin thickness of the wing. The real-coded adaptive range multi-objective genetic algorithm code, which represents the global multi-objective optimization algorithm, was used to control the optimization process. The support vector regression(SVR) is applied for optimization, in order to reduce the time of computation. For this multi-objective design optimization problem, numerical results show that several useful Pareto optimal designs exist for the flexible wing.
Keywords
Flexible Wing; Support Vector Regression; Adaptive Range Multi-Objective Genetic Algorithm;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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