结构在环境激励下的模态参数辨识

Modal Parameter Identification of Structure in Ambient Excitation

针对传统模态辨识方法存在的缺陷,研究了工程结构在环境激励下的模态参数的辨识问题。通过各点测试数据的协方差数据构成Hankel矩阵,运用随机子空间实现进行系统矩阵的辨识。经飞机模型的环境激励分析验证,上述方法具有理想的辨识精度,在大型结构的模态辨识领域,拥有广阔的应用前景。

Focusing on the defects of the classical modal parameter estimation approach, this paper investigates a novel technique for modal parameter identification of structures under operation conditions. Stochastic subspace realization is introduced to determine the system matrix only using output data. The performance of the method is critically evaluated for an airplane model. The results of experiment show that the above method has the same accuracy as the classical modal estimation method and possesses a broad application prospect in parameter identification of structures under operation conditions.