基于可测点信息的模型参数修正方法

MODEL UPDATING METHOD BASED ON MEASURABLE INFORMATION

研究了基于灵敏度计算直接法的有限元模型修正方法,在模型缩聚中采用迭代降阶(IOR)技术,以使缩聚模型的特征对与原分析模型保留自由度的对应模态及频率完全一致,在模型修正过程中,得到收敛于可测点信息的参数修正量。仿真算例表明,所提出的基于IOR技术的模型修正方法有效可行。

A finite element model updating method based on direct sensitivity analysis is investigated.With the iterative order reduction(IOR)technology,the eigenpairs of the reduced model can match exactly with the corresponding retained ones of the original model.Then the revising amount of the parameters can converge successfully.The simulating examples show that the method is feasible and effective.