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蜂窝板是现代飞行器的主要承力结构,通过分析各形式响应面适用范围,提出Linear-and-Gaussian组合核支持向量机(SVM)响应面和基于分组控制策略的改进粒子群优化(IPSO)算法。用ANSYS的SHELL91单元建立多铺层碳纤维蜂窝板的有限元模型(FEM),并通过正交试验设计和F值检验确定待修正结构参数,构造Linear-and-Gaussian响应面以拟合待修正结构参数与蜂窝板模态频率的关系并检验响应面模型有效性。最后,用基于分组控制策略的IPSO算法对响应面模型中的结构参数进行修正,修正后参数代入原有限元模型得到修正模型。通过对修正前后模型模态频率与基准模型模态频率在测试频段内外的对比,证实了修正后模型具有良好的复现能力和预测能力。
The honeycomb panel is the main load-bearing structure of modern aircraft. By analyzing the application range of the response surface of each form, a linear-and-Gaussian kernel support vector machine (SVM) response surface and an improved Particle Swarm Optimization (IPSO) algorithm based on packet control strategy . The Finite Element Model (FEM) of multilayered carbon fiber honeycomb panels was established by SHELL91 unit of ANSYS. The parameters of the structure to be corrected were determined by orthogonal experimental design and F value test. The Linear-and-Gaussian response surface was constructed to fit the structure to be corrected Parameters and the honeycomb plate mode frequency and verify the validity of the response surface model. Finally, the IPSO algorithm based on the group control strategy is used to correct the structural parameters in the response surface model. The modified parameters are substituted into the original finite element model to obtain the modified model. By comparing the modal frequencies of the model before and after modification with those of the reference model within and outside the test band, it is verified that the modified model has a good ability of reproduction and prediction.