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標題: 使用全域靈敏度公式與近似分析方法的多重領域最佳化
Multidisciplinary Design Optimization Using Global Sensitivity Equation and Approximate Analyses
作者: 蔡起源
Tsai, Chi-Yuan
關鍵字: Multidisciplinary Design Optimization;多重領域最佳化;Global Sensitivity Equations;Response Surface;Moving Least Square;Artificial Neural Networks;全域靈敏度公式;回應表面法;移動最小平方法;類神經網路
出版社: 機械工程學系

The multidisciplinary design is usually found in many engineering applications. The input of one discipline may be from an output of another discipline in the system. Traditionally the optimum solutions are found without considering the mutual influence of disciplines. Therefore the solutions obtained may not be reliable.
In this paper Global Sensitivity Equations (GSE) are used to get sensitivities of responses in one discipline with response to design variables in other disciplines. In other words the total differentials of respect system response are found by GSE. After obtaining the global sensitivities, a single optimization problem can be created by combining all disciplines together and further solved by the sequential linear programming method. In order to form GSE some approximation approaches are used. The finite element analysis and the mechanism analysis are replaced by approximate methods such as moving least square, response surface and artificial neural networks.
Optimum solutions obtained by uncoupled method are compared with optimum solutions obtain by GSE in this paper. The result shows that credible solutions obtained by GSE for coupled system heavily depend on the accuracy of those approximate functions.
Appears in Collections:機械工程學系所

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