| 基于代理模型的箭体连接结构极值响应分析与优化 |
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| 引用本文： | 孙伟程,关振群,潘嘉诚,曾岩.基于代理模型的箭体连接结构极值响应分析与优化[J].计算力学学报,2023,40(3):348-356. |
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| 作者姓名： | 孙伟程 关振群 潘嘉诚 曾岩 |
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| 作者单位： | 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 116024 |
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| 基金项目： | 国家自然科学基金（11672052；11302035）；中央高校基本科研业务费专项资金（DUT2019TD37）资助项目. |
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| 摘 要： | 螺栓法兰连接结构在航空航天等工程领域中广泛应用，其力学性能在不同工况和装配情况下十分复杂。由于拉压刚度差异，含连接结构的箭体动力学响应呈现明显的非线性特征。因此，考虑不同连接参数及工况下的连接非线性动力学响应，对结构优化设计有着重要意义。本文针对以双线性弹簧表征螺栓法兰连接非线性的箭体等效动力学模型，基于径向基函数(RBF)神经网络和响应面法分别建立其连接面处的极值响应代理模型，对比发现RBF神经网络模型在较高精度上可以实现对动响应极值的预测及分析；同时分析了不同载荷参数及刚度变化对连接结构动响应极值的影响；最后，利用RBF神经网络代理模型，开展了连接面加速度极值响应与螺栓弹簧力最小化为目标的连接结构参数优化。
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| 关 键 词： | 螺栓法兰连接 极值响应 径向基函数 代理模型 结构优化 |
| 收稿时间： | 2021/9/3 0:00:00 |
| 修稿时间： | 2022/9/3 0:00:00 |
Extreme response analysis and optimization of rocket connection structure based on surrogate model |
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| SUN Wei-cheng,GUAN Zhen-qun,PAN Jia-cheng,ZENG Yan.Extreme response analysis and optimization of rocket connection structure based on surrogate model[J].Chinese Journal of Computational Mechanics,2023,40(3):348-356. |
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| Authors: | SUN Wei-cheng GUAN Zhen-qun PAN Jia-cheng ZENG Yan |
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| Affiliation: | State Key laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China |
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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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| Keywords: | bolted flange connection extreme response radial basis function surrogate model structural optimization |
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