Application of Collaborative Optimization Using Response Surface Methodology to an Aircraft Wing Design
Sangook Jun, Yong-Hee Jeon, Joohyun Rho, Dong-Ho Lee · 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference · 2004
Collaborative optimization ( CO ) i s a multi -level decomposed methodology for a large scale multidisciplinary design optimization. The collaborative optimization is known to have computational and organizational advantages. Its decomposed architecture along disciplines removes a necessity o f direct communication between disciplines and guarantees the autonomy of disciplin es . However, the collaborative optimization has several problems at convergence characteristics and computation time. In this study, such features are discussed and some sug gestions are made to improve the performance of collaborative optimization. In doing so, the collaborative optimization is applied to aircraft wing design problems . Genetic algorithm is used for the system level optimization with gradient -based method as a subspace optimization algorithm , and response surfaces are replaced as analysis in subspace. It is shown that such a n application of optimization algorithms and the response surface method improves convergence characteristics. Constructing response surfac es of analysis in subspace and applying the collaborative optimization method to the aero -structural multidisciplinary optimization of the transonic wing, its results are compared with the multidisciplinary feasible method and original CO .