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dc.contributor.authorMezghani, Fares
dc.contributor.authorFernández del Rincón, Alfonso 
dc.contributor.authorBen Souf, Mohamed Amine
dc.contributor.authorGarcía Fernández, Pablo (ingeniero) 
dc.contributor.authorChaari, Fakher
dc.contributor.authorViadero Rueda, Fernando 
dc.contributor.authorHaddar, Mohamed
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.description.abstractIn order to better understand nonlinearity, a substantial number of methods have been devoted to extract the stiffness and damping functions. Although most identification methods are based on mathematical models, some promising methods rely mainly on the use of non-parametric techniques, by plotting and adjusting the restoring force to displacement and velocity in the time or frequency domains. However, the identification process in these methods is limited to amplitude-dependence and the identification of nonlinearities that depend on both frequency and amplitude is still required. This is the reason why, in this paper, a nonparametric identification procedure is proposed and an amplitude-frequency-dependent model is developed to predict the system's dynamic behavior under different working conditions. The proposed approach is demonstrated and validated through number of numerical examples with nonlinearities, typically encountered in common engineering applications. Thereafter, this approach is implemented to determine the unknown parameters of a metal mesh isolator from transmissibility data. An application of this technique for identifying the nonlinearity of SDOF system subjected to multi-harmonic excitation is also illustrated.es_ES
dc.format.extent28 p.es_ES
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 licensees_ES
dc.sourceEuropean Journal of Mechanics, A/Solids, 2020, 80, 103886es_ES
dc.subject.otherFrequency-amplitude-dependent parameterses_ES
dc.subject.otherNonparametric identification procedurees_ES
dc.subject.otherTransmissibility dataes_ES
dc.subject.otherMulti-harmonic excitationes_ES
dc.titleAlternating Frequency Time Domains identification technique: parameters determination for nonlinear system from measured transmissibility dataes_ES

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© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 licenseExcept where otherwise noted, this item's license is described as © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license