Parametric Identification of Nonlinearity from Incomplete FRF Data Using Describing Function Inversion

Date

2012-1-30

Author

Özgüven, Hasan Nevzat
Aykan , Murat

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Most engineering structures include nonlinearity to some degree. Depending on the dynamic conditions and level of external forcing, sometimes a linear structure assumption may be justified. However, design requirements of sophisticated structures such as satellites require even the smallest nonlinear behavior to be considered for better performance. Therefore, it is very important to successfully detect, localize and parametrically identify nonlinearity in such cases. In engineering applications, the location of nonlinearity and its type may not be always known in advance. Furthermore, in most of the cases, test data will be incomplete. These handicaps make most of the methods given in the literature difficult to apply to engineering structures. The aim of this study is to improve a previously developed method considering these practical limitations. The approach proposed can be used for detection, localization, characterization and parametric identification of nonlinear elements by using incomplete FRF data. In order to reduce the effort and avoid the limitations in using footprint graphs for identification of nonlinearity, describing function inversion is used. Thus, it is made possible to identify the restoring force of more than one type of nonlinearity which may co-exist at the same location. The verification of the method is demonstrated with case studies.

Subject Keywords

Nonlinear identification, Nonlinear model testing, Experimental verification, Nonlinear parametric identification

URI

https://hdl.handle.net/11511/105165

Collections

Department of Mechanical Engineering, Conference / Seminar