模态参数辨识改进算法及其在振动台试验中的应用  

Improved algorithms of modal parameter identification and its application to shaking table frame model test

作　　者：杨佑发[1] 甘琳[2] 李华新[1] 李海龙[1] 

机构地区：[1]重庆大学土木工程学院,重庆400045 [2]重庆大学建设管理与房地产学院,重庆400045

出　　处：《重庆大学学报（自然科学版）》2013年第12期64-69,共6页Journal of Chongqing University

基　　金：重庆市建设科技计划资助项目(2012-2-49;2011-2-80)

摘　　要：结合数据驱动随机子空间法,提出了环境激励下结构模态参数识别的改进ITD法、改进STD法与改进复指数法。随机子空间法的识别精度高,其中Hankel矩阵经过正交投影计算可以保留原始数据中的所有信息,同时去除了噪声,将得到的P矩阵中的数据作为ITD法、STD法与复指数法的输入数据,这3种方法就不再需要采用随机减量法或者自然激励技术进行前处理,避免了这2种前处理方法的不准确性带来的误差,并提高了模态参数识别的计算效率。利用12层钢筋混凝土框架结构模型在振动台试验过程中地震反应记录,识别结构模型模态参数。从而证明3种改进方法在结构模态参数识别中应用的可行性。Based on the data-driven stochastic subspace identification （SSI）, an improved ITD method, an improved STD method and an improved complex index method are put forward. SSI has high identification accuracy, and Hankel matrix orthogonal projection calculation of data can retain all the useful information in the original data and simultaneously remove noise. The data obtained in P-matrix is taken as input for the ITD , STD and complex index methods, and then the three methods would no longer need random decrement technique or NExt method for pre-proeessing, thereby eliminating the error caused by the two pretreatment methods. The improved methods are applied to the modal parameter identification for structure shaking table test model by using the simulated earthquake response data from Tongji University. The recognition results further prove the correctness and feasibility of the improved methods.

关 键 词：框架结构 模态参数识别 改进ITD法 改进STD法 改进复指数法 

分 类 号：TU317[建筑科学—结构工程]