Nonlinearity identification using sensitivity of frequency response functions

Hassan Jalali*, Behzad T. Bonab

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Nonlinearities in mechanical systems demand extensive efforts both in modeling their dynamics and identification of their parameters. In this paper an identification approach is proposed for nonlinear multi-degree-of-freedom systems when there is a single nonlinear element in the system and its location is known. The proposed method is an extension of the frequency response function (FRF) sensitivity method used in the linear systems. The method uses measured nonlinear FRFs and employs a reduced order model for sensitivity calculations. Numerical and experimental case studies are used to verify the accuracy of the proposed method.

Original languageEnglish
Pages (from-to)787-800
Number of pages14
JournalJVC/Journal of Vibration and Control
Volume19
Issue number5
DOIs
Publication statusPublished - 1 Apr 2013
Externally publishedYes

Fingerprint Dive into the research topics of 'Nonlinearity identification using sensitivity of frequency response functions'. Together they form a unique fingerprint.

Cite this