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| Hybrid optimization of grid-stiffened cylinder based on surrogate model and smeared stiffener model |
| Received:July 07, 2011 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20124002 |
| KeyWord:grid-stiffened cylinder post-buckling analysis optimization surrogate model smeared stiffener model |
| Author | Institution |
| 郝鹏 |
大连理工大学 工程力学系 工业装备结构分析国家重点实验室, 大连 |
| 王博 |
大连理工大学 工程力学系 工业装备结构分析国家重点实验室, 大连 |
| 李刚 |
大连理工大学 工程力学系 工业装备结构分析国家重点实验室, 大连 |
| 王小军 |
北京宇航系统工程研究所, 北京 |
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| Abstract: |
| With regard to the grid-stiffened cylinder under non-uniform axial compression,it is time-consuming to perform the post-buckling optimization.A hybrid optimization approach based on surrogate model and smeared stiffener model is proposed to solve this problem.First,smeared stiffener model is used to carry out the design of experiment instead of exact grid-stiffened model,in which a high fitting precision can be reached by adjusting the element size.Meanwhile,the computational time is reduced to one-third of the exact model.Then,surrogate model is built for optimization using multi-island genetic algorithm to obtain the minimum mass solution under buckling constraints.After several iterations,the analysis of exact model is utilized to update the surrogate model.Finally,an engineering example is established to illustrate the proposed approach,and the results indicate that the hybrid optimization can gain a significant weight reduction with less computational effort. |
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