Cost Optimization Method of Large-scale Prestressed Wire Winded Framework on Multiple-island Genetic Algorithm

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• 作者：Huili  ; LI^a ;   ; ^{lhlxuchang@163.com} ; Lihui  ; LANG^a ;   ; ^{lang@buaa.edu.cn} ; Jianyong  ; ZHANG^b ; Huai  ; YANG^b[Author vitae]
• 关键词：genetic algorithms ; structural design ; prestressed wire winded framework ; cost optimization
• 刊名：Chinese Journal of Aeronautics
• 出版年：2011
• 出版时间：October 2011
• 年：2011
• 卷：24
• 期：5
• 页码：673-680
• 全文大小：1136 K

文摘

Prestressed wire winded framework (PWWF) is an advanced structure and the most expensive part in the large-scale equipment. The traditional design of PWWF is complicated, highly iterative and cost uncontrolable, because PWWF is a variable stiffness multi-agent structure, with non-linear loading and deformation coordination. In this paper, cost optimization method of large-scale PWWF by multiple-island genetic algorithm (MIGA) is presented. Optimization design flow and optimization model are proposed based on variable-tension wire winding theory. An example of the PWWF cost optimization of isostatic equipment with axial load 6 000 kN is given. The optimization cost is reduced by 21.6 % compared with traditional design. It has also been verified by the finite-element analysis and successfully applied to an actual PWWF design of isostatic press. The results show that this method is efficient and reliable. This method can also provide a guide for optimal design for ultra-large dimension muti-frame structure of 546 MN and 907 MN isostatic press equipment.