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  5. Investigation on Aerodynamic Dimension Reduction Optimization Based on POD-Surrogate

Investigation on Aerodynamic Dimension Reduction Optimization Based on POD-Surrogate

来源 :Asian Congress of Structural and Multidisciplinary Optimizat | 被引量 : 0次 | 上传用户：wangyingadvance
【摘 要】
：
In aerodynamic optimization,the number of design variables needs to be increased to improve the effect and accuracy of optimization.However,surrogate optimization is extremely sensitive to the number
【作 者】
：
Yuan Zelong Bai Junqiang Liu Nan Qiu Yasong Gao Guozhu 
【机 构】
：
School of Aeronautics, Northwestern Polytechnical University, 710072, Xi'an, China
【出 处】
：
Asian Congress of Structural and Multidisciplinary Optimizat
【发表日期】
：
2018年11期
【关键词】
：
proper orthogonal decomposition dimension reduction surrogate model efficient gl 
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　　In aerodynamic optimization,the number of design variables needs to be increased to improve the effect and accuracy of optimization.However,surrogate optimization is extremely sensitive to the number of design variables.With the increase of variables quantity,approximation accuracy of the surrogate model declines sharply and optimization is easily caught in curse of dimension.
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