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http://dx.doi.org/10.12989/sss.2017.20.4.415

Wavelet based system identification for a nonlinear experimental model  

Li, Luyu (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology)
Qin, Han (School of Civil Engineering, Dalian University of Technology)
Niu, Yun (School of Civil Engineering, Dalian University of Technology)
Publication Information
Smart Structures and Systems / v.20, no.4, 2017 , pp. 415-426 More about this Journal
Abstract
Traditional experimental verification for nonlinear system identification often faces the problem of experiment model repeatability. In our research, a steel frame experimental model is developed to imitate the behavior of a single story steel frame under horizontal excitation. Two adjustable rotational dampers are used to simulate the plastic hinge effect of the damaged beam-column joint. This model is suggested as a benchmark model for nonlinear dynamics study. Since the nonlinear form provided by the damper is unknown, a Morlet wavelet based method is introduced to identify the mathematical model of this structure under different damping cases. After the model identification, earthquake excitation tests are carried out to verify the generality of the identified model. The results show the extensive applicability and effectiveness of the identification method.
Keywords
nonlinear system identification; wavelet transform; nonlinear test model; adjustable dampers; shake table test;
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