多铺层碳纤维蜂窝板模型修正

 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。

Model Updating for Multi-layered Carbon Fiber Honeycomb Sandwich Panel

The honeycomb sandwich panel is the main load-carrying structure of modern aircraft. Linear-and-Gaussian combined kernel function support vector machine (SVM) response surface and the group-control-based improved particle swarm optimization (IPSO) algorithm are proposed in this paper through an analysis of various response surfaces, and a finite element model (FEM) of the multi-layered carbon fiber honeycomb sandwich panel is constituted in ANSYS using SHELL91. The non-updated parameters are chosen by orthogonal design and F-test, which are then employed to constitute the Linear-and-Gaussian response surface to simulate the relationship between the structure parameters and the responses, and then verify the validity of the response surface model. The group-control-based IPSO algorithm is employed to update the non-updated parameters and the updated parameters are substituted into the non-updated FEM. A comparison of the modal frequencies of the non-updated and updated FEM and the benchmark FEM proves the reappearance and prediction ability of the updated FEM.