Parametric identification of structural nonlinearities from measured frequency response data

Date

2011-05-01

Author

Arslan, Ozge
Aykan, Murat
Özgüven, Hasan Nevzat

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Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic loading. In several cases, linear theory can suffice to analyze nonlinear systems to some extent. However, there are cases where nonlinear effects and therefore nonlinear analysis become unavoidable. In most of the engineering applications it is usually very difficult if not impossible to model nonlinearity theoretically, especially for nonlinear effects stemming from structural connections. Then it becomes necessary to detect, localize and parametrically identify nonlinear elements from measured vibration data. In this study, two different methods, one being a method suggested recently by two of the authors of this paper, and the other being again a method developed in an earlier work, are implemented on a test rig containing a nonlinear element. Both methods are capable of parametrically identifying nonlinearities from measured frequency response functions. It is aimed in this paper to asses the validity of each method by applying them to a real test structure and thus parametrically identifying the nonlinear element in the system to obtain a mathematical model, and then employing the model in harmonic response analysis of the system in order to compare predicted responses with measured ones.

Subject Keywords

Nonlinear structural dynamics, Nonlinear identification, Nonlinear modal model, Nonlinear modal analysis, Nonlinear modal testing, Experimental verification

URI

https://hdl.handle.net/11511/48531

Journal

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

DOI

https://doi.org/10.1016/j.ymssp.2010.10.010

Collections

Department of Mechanical Engineering, Article

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Citation Formats

O. Arslan, M. Aykan, and H. N. Özgüven, “Parametric identification of structural nonlinearities from measured frequency response data,” MECHANICAL SYSTEMS AND SIGNAL PROCESSING, pp. 1112–1125, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48531.