Journal of Mechanical Science and Technology

  • 제20권1호
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  • Pages.133-146
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  • 2006
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  • 1738-494X(pISSN)
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  • 1976-3824(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
권호 표지

Application of Collaborative Optimization Using Genetic Algorithm and Response Surface Method to an Aircraft Wing Design

  • Jun Sangook (School of Mechanical and Aerospace Engineering in Seoul National University) ;
  • Jeon Yong-Hee (School of Mechanical and Aerospace Engineering in Seoul National University) ;
  • Rho Joohyun (School of Mechanical and Aerospace Engineering in Seoul National University) ;
  • Lee Dong-ho (School of Mechanical and Aerospace Engineering in Seoul National University)
  • 발행 : 2006.01.01
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초록

Collaborative optimization (CO) is a multi-level decomposed methodology for a large-scale multidisciplinary design optimization (MDO). CO is known to have computational and organizational advantages. Its decomposed architecture removes a necessity of direct communication among disciplines, guaranteeing their autonomy. However, CO has several problems at convergence characteristics and computation time. In this study, such features are discussed and some suggestions are made to improve the performance of CO. Only for the system level optimization, genetic algorithm is used and gradient-based method is used for subspace optimizers. Moreover, response surface models are replaced as analyses in subspaces. In this manner, CO is applied to aero-structural design problems of the aircraft wing and its results are compared with the multidisciplinary feasible (MDF) method and the original CO. Through these results, it is verified that the suggested approach improves convergence characteristics and offers a proper solution.

키워드

참고문헌

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