2010
DOI: 10.1007/s11340-010-9375-x
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Identification of Weakly Nonlinear Systems Using Describing Function Inversion

Abstract: In this paper describing functions inversion is used and the restoring force of a nonlinear element in a MDOF system is characterized. The describing functions can be obtained using linearized frequency response functions (FRFs). The response of the system to harmonic excitation forces at distinct frequencies close to the resonant frequency results in linearized FRFs. The nonlinear system can be approximated at each excitation frequency by an equivalent linear system. This approximation leads to calculation of… Show more

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Cited by 8 publications
(3 citation statements)
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“…An innovative analytical model was created in order to determine the real correlation among load and deformation of a single bolted lap joint. Also natural frequencies and mode shapes were additionally identified [19], achieved modelling of aluminium honeycomb panel for identification of the parameters using several bolts [6,20] nonlinear dynamic characteristics under transient excitation [21] and using describing function inversion for determining weak non-linear system [22,23]. An identification method for analytical and numerical issues using the dynamic characteristic equation for linear interface parameters is presented by Jalali [24].…”
Section: Introductionmentioning
confidence: 99%
“…An innovative analytical model was created in order to determine the real correlation among load and deformation of a single bolted lap joint. Also natural frequencies and mode shapes were additionally identified [19], achieved modelling of aluminium honeycomb panel for identification of the parameters using several bolts [6,20] nonlinear dynamic characteristics under transient excitation [21] and using describing function inversion for determining weak non-linear system [22,23]. An identification method for analytical and numerical issues using the dynamic characteristic equation for linear interface parameters is presented by Jalali [24].…”
Section: Introductionmentioning
confidence: 99%
“…Finding the nonlinear forces corresponding to the measured describing functions is called describing function inversion [6]. In this paper, nonlinear system identification using describing function is introduced briefly.…”
Section: Introductionmentioning
confidence: 99%
“…Bograd et al [14] gave an overview of various joint types, their characteristics, and the models used for their simulation as well as an extensive information of up-to-date literature associated with this topic. Jalali et al [15] studied the weakly nonlinear systems of multiple degrees of freedom by describing functions inversion. Morelli [16] developed a new method for the structures to identify transfer function models from the noisy data.…”
Section: Introductionmentioning
confidence: 99%