Identifi cation of model structure parameters via combination of AFMM and ARX from seismic response data

作     者：Gong Maosheng Sun Jing Xie Lili 

作者机构：Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics CEA Institute of Civil Engineering Heilongjiang University 

出 版 物：《Earthquake Engineering and Engineering Vibration》 (地震工程与工程振动（英文刊）)

年 卷 期：2014年第13卷第3期

页      面：411-423页

核心收录：

学科分类：08[工学] 081402[工学-结构工程] 081304[工学-建筑技术科学] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：Basic Science&Research Foundation of IEM,CEA under Grant No.2013B07 International Science&Technology Cooperation Program of China under Grant No.2012DFA70810 Natural Science Foundation of China under Grant No.50908216 

主　　题：parameter identification time-varying response model structure shaking table test 

摘      要：To identify the model structure parameters in shaking table tests from seismic response, especially from time- varying response records, this paper presents a new methodology by combining the online recursive Adaptive Forgetting through Multiple Models （AFMM） and offtine Auto-Regression with eXogenous variables （ARX） model. First, the AFMM is employed to detect whether the response of model structure is time-invariant or time-varying when subjected to strong motions. Second, if the response is time-invariant, the modal parameters are identified from the entire response record, such as the acceleration time-history using the ARX model. If the response is time-varying, the acceleration record is divided into three segments according to the accurate time-varying points detected by AFMM, and parameters are identified by only using the tail segment data, which is time-invariant and suited for analysis by the ARX model. Finally, the changes in dynamic properties due to various strong motions are obtained using the presented methodology. The feasibility and advantages of the method are demonstrated by identifying the modal parameters of a 12-story reinforced concrete （RC） frame structure in a shaking table test.