A concurrent subspace collaborative optimization architecture to structural synthetical optimization design

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• 作者：Weixing Yao ; Yitao Wu ; Fang Chen
• 刊名：Structural and Multidisciplinary Optimization
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：53
• 期：6
• 页码：1197-1207
• 全文大小：2,123 KB
• 刊物类别：Engineering
• 刊物主题：Theoretical and Applied Mechanics
  Computer-Aided Engineering and Design
  Numerical and Computational Methods in Engineering
  Engineering Design
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1615-1488
• 卷排序：53

文摘

A concurrent subspace collaborative optimization (CSCO) technique is developed in this paper to deal with the layout, shape and size optimization of the hierarchical feature structures. The structural optimization is divided into three concurrent subspaces: the structural layout optimization, shape optimization and size optimization. And all these subspace optimizations are solved independently in every iteration loop. Based on the optimal results of each subspace, the design variables are synthetically adjusted at the end of the loop. The iteration loop will be repeated until the convergence accuracy requirement is met. Two structural optimization examples, including truss structure and composite stiffened panel, are completed in this paper. The results obtained from them demonstrate the reasonability and effectiveness of the CSCO technique.KeywordsConcurrent subspace collaborative optimizationLayout optimizationShape optimizationSize optimizationTrussComposite stiffened panel