Identification of the nonlinear properties of rubber-bearings in base-isolated buildings with limited seismic response data  

作　　者：LEI Ying HE MingYu 

机构地区：[1]Department of Civil Engineering,Xiamen University [2]State Key Laboratory for Disaster Reduction in Civil Engineering,Tongji University

出　　处：《Science China(Technological Sciences)》2013年第5期1224-1231,共8页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.51178406);the Research Funding from the State Key Laboratory for Disaster Reduction in Civil Engineering at Tongji University(Grant No.SLDRCE10-MB-01);the Fujian Natural Science Foundation Project(Grant No.2010J01309)

摘　　要：Seismic behaviors of base-isolated structures are highly affected by the nonlinear characteristics of the isolated systems. Most of the currently available methods for the identification of nonlinear properties of isolator require either the measurements of all structural responses or the assumptions of the proper mathematic models for the rubber-bearings. In this paper, two algorithms are proposed to identify the nonlinear properties of rubber-bearings in base-isolated buildings using only partial measurements of structural dynamic responses. The first algorithm is applicable to the case that proper mathematical models are available for the base isolators. It is based on the extended Kalman filter for the parametric identification of nonlinear models of rubber-bearing isolators and buildings. For the general case where it is difficult to establish a proper mathematical model to describe the nonlinear behavior of a rubber-bearing isolator, another algorithm is proposed to identify the model-tYee nonlinear property of rubber-bearing isolated system. Nonlinear effect of rubber-bearing is treated as ＇fictitious loading＇ on the linear building under severe earthquake. The algorithm is based on the sequential Kalman estimator for the structural responses and the least-squares estimation of the ＇fictitious loading＇ to identify the nonlinear force of rubber-bearing isolator. Simulation results demonstrate that the proposed two algorithms are capable of identifying the nonlinear properties of rubber-bearing isolated systems with good accuracy.

关 键 词：BASE-ISOLATION nonlinearit system identification partial observation MODEL-FREE extended Kalman filter Kalman esti-mator least-squares estimation 

分 类 号：TU352.12[建筑科学—结构工程] TB485.1[一般工业技术—包装工程]