Multidisciplinary design optimization approach and its application to aerospace engineering

作     者：Zhenguo Wang Wei Huang Li Yan 

作者机构：Science and Technology on Scramjet Laboratory National University of Defense Technology 

出 版 物：《Chinese Science Bulletin》 (中国科学通报)

年 卷 期：2014年第59卷第36期

页      面：5338-5353页

核心收录：

学科分类：08[工学] 082501[工学-飞行器设计] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the Hunan Provincial Natural Science Foundation of China(12jj4047) the Science Foundation of National University of Defense Technology(JC14-01-01) 

主　　题：多学科设计优化 航空航天工程 应用 高超声速飞行器 MDO方法 数据挖掘技术 不确定性分析 概念设计 

摘      要：The multidisciplinary design optimization(MDO)approach is very crucial for the conceptual design of the aircraft,and this is due to the complex interaction between different disciplines, especially for the hypersonic vehicle. In the hypersonic vehicle, the airframe and the engine are highly integrated. In the current survey, the research progress in the MDO approach has been reviewed comprehensively from four primary techniques, namely the design of experiments, the surrogate modeling, the optimization method and the MDO framework, and its application to the aerospace engineering has been summarized from its category as well. The concurrent subspace optimization approach is the most popular method in the aerospace engineering for its easy implementation, and following is the collaborative optimization approach. The multi-level optimization approach has attracted a growing attention due to its high efficiency. In conclusion, some promising research recommendations have been put forward, namely the combination of the low- and high-fidelity optimization approaches, the consideration of the uncertainty analysis and the MDO approach coupled with the data mining techniques.