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CMSO for Multidisciplinary Design Optimization Method |
YI Yongsheng1,2;LI Wei1;GAO Liang1;XIAO Mi1;QIU Haobo1 |
1. State Key Lab of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology, Wuhan, 430074
2. Wind Power Research Institute of XEMC Windpower Co., Ltd., Xiangtan, Hunan,411100 |
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Abstract In order to avoid complex time-consuming multidisciplinary analysis and cumbersome sensitivity calculation in solving complex engineering multidisciplinary design optimization problems, a CMSO method was proposed for multidisciplinary design optimization. Firstly, a collaboration model was used to filter sample points which might reflect the characteristics of the multidisciplinary design optimization problem better and to maintain the multidisciplinary consistency of the system. Then, adaptive surrogate models were constructed, verified and confirmed through the selected sample points. Then the best surrogate model was selected to approximate the multidisciplinary design optimization model and the sequence quadratic program method was used for optimization solution. The feasibility and effectiveness of the CSMO method were verified by a mathematical example and a cylindrical spiral compression spring design case, and the high efficiency of CMSO method was demonstrated by comparison with individual discipline feasible.
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