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| Extreme response analysis and optimization of rocket connection structure based on surrogate model |
| Received:September 03, 2021 Revised:September 03, 2022 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20210903001 |
| KeyWord:bolted flange connection extreme response radial basis function surrogate model structural optimization |
| Author | Institution |
| 孙伟程 |
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 |
| 关振群 |
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 |
| 潘嘉诚 |
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 |
| 曾岩 |
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 |
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| Abstract: |
| The mechanical properties of bolted flange connection structures used widely in aerospace engineering and other fields are complex under different working environments and assembly conditions.Due to the different stiffness of in tension and compression, the dynamic response of the rocket demonstrates nonlinear features.So, it is important for structural optimization to consider the dynamic response of nonlinear connection under different structural parameters and working conditions.In this paper, surrogate models based on RBF neural network are proposed to predict and analyze the extreme responses of the connection part of the equivalent structure of the rocket, in which nonlinearity of the bolted flange connection is characterized by bilinear springs.It is found that RBF neural network model predicts and analyzes the extreme dynamic responses accurately.Meanwhile, the influence of different load parameters and variation of stiffness on the extreme dynamic responses is analyzed.Finally, using the RBF neural network surrogate model, the parameter optimization of the connection structure is carried out to minimize the extreme acceleration responses and the bolt spring forces of the connection. |
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