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Research on Approaches of Multidisciplinary Design Optimization for Non-hierarchic Systems

Research on Approaches of Multidisciplinary Design Optimization for Non-hierarchic Systems

作     者:Chen Baihong Zhong Yifang Liu Jihong Xiao Renbin Zhou Ji (CAD Center of Huazhong University of Science & Technology, Wuhan 430074, PR.China) 

出 版 物:《Computer Aided Drafting,Design and Manufacturing》 (计算机辅助绘图设计与制造(英文版))

年 卷 期:2000年第10卷第1期

页      面:84-94页

学科分类:081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:coupled factors two-level technique collaborative optimization MDO 

摘      要:In complex engineering optimization, multilevel or two-level approaches are often applied. These approaches are carried out in assumption that there are no connections among sub problems at the same level. But it is difficult to construct the models that suit to this assumption. In recent years, the complexity of engineering systems has led to the rapid development in the field of Multidisciplinary Design Optimization (MDO). In MDO, two kinds of coupled factors, coupled variables (or functions) and system (or global) variables, always exist among all disciplines. These variable5 or functions make it disordered to solve the whole system. So, how to handle these variables is one of important studies in MDO. In this paper two approaches are discussed for handling these coupled factors in non-hierarchic system in MDO. And a test engineering example gives a demonstration about the implemeniation of these approaches.

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