Abstract: Honeycomb sandwich plate has high specific strength, high specific stiffness and good heat insulation, vibration insulation as well as impact resistance, which makes it widely used in the aerospace engineering. The honeycomb sandwich plate was made to be equivalent to shell element according to the equivalent plate theory, and based on the first five natural frequencies of the modal test, the Particle Swarm Optimization (PSO) algorithm with flying factor was used to update the material parameters such as the equivalent stiffness and equivalent density and the results show that the updated natural frequencies approach the test data better than the non-updated ones. Compared with the standard PSO algorithm, the Finite Element Model (FEM) updated by PSO with flying factor can approach the real structure better, which proves the validity and efficiency of this algorithm.

Key words: honeycomb sandwich plate, equivalent plate theory, Particle Swarm Optimization (PSO) algorithm, flying factor, material parameter, model updating

摘要： 蜂窝板结构具有较高的比强度、比刚度和良好的隔热隔振、耐冲击等优点，在航空航天领域得到了广泛应用。根据等效板理论将蜂窝夹层板等效为壳单元，以试验测得的前五阶模态频率为基础，用带飞行因子的粒子群算法对其材料等效密度和刚度参数进行模型修正，修正后模型计算频率与试验值误差较原误差有了明显减小，与标准粒子群算法相比，带飞行因子粒子群算法修正后的模型能更好地逼近原结构，模型质量有了改善。证实了带飞行因子粒子群算法在模型修正过程中的可行性和有效性。

关键词: 蜂窝板, 等效板理论, 粒子群算法, 飞行因子, 材料参数, 模型修正