2019
DOI: 10.1016/j.jsv.2019.07.005
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Experimental identification of distributed nonlinearities in the modal domain

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Cited by 16 publications
(9 citation statements)
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“…However, it has not been applied to structures with geometrical Fig. 19 Comparison of the NNM shapes extracted from the HFS (solid lines) with the ones determined from the identified nonlinear modal constants (dashed lines) at various displacement amplitude levels of the driving point nonlinearity. The main contribution of this current paper is the validation of the framework on the identification of a doubleclamped thin beam that exhibits continuously distributed geometrical nonlinearity due to large amplitude oscillations.…”
Section: Discussionmentioning
confidence: 99%
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“…However, it has not been applied to structures with geometrical Fig. 19 Comparison of the NNM shapes extracted from the HFS (solid lines) with the ones determined from the identified nonlinear modal constants (dashed lines) at various displacement amplitude levels of the driving point nonlinearity. The main contribution of this current paper is the validation of the framework on the identification of a doubleclamped thin beam that exhibits continuously distributed geometrical nonlinearity due to large amplitude oscillations.…”
Section: Discussionmentioning
confidence: 99%
“…Although the NNM-based system identification approaches [7,9,13,15] mentioned above are potentially suitable for the identification of distributed nonlinearities, to the best knowledge of the authors, only the PLL technique [16] and the method proposed in [18] were experimentally validated on structures that exhibit continuously distributed geometrical nonlinearity. Recently, there have been also other interesting attempts [19,20] that use a modal perspective somewhat different than the NNM perspective for the identification of geometrically nonlinear structures. In [19], a double-clamped thin beam was identified by processing the experimental data measured under broadband Gaussian excitation with an ad-hoc version of the nonlinear subspace identification (NSI) algorithm [21,22].…”
Section: Introductionmentioning
confidence: 99%
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“…In [6], the proposed method is successfully applied to a circular plate and a Chinese gong but fails in the case of a piezoelectric cantilever beam where the backbone curves are almost straight lines which cannot be represented with quadratic and cubic coefficients. Another interesting technique is proposed in [9], where a clamped-clamped beam is identified by applying an ad hoc version of the nonlinear subspace identification (NSI) algorithm [10,11] to the experimental data measured under broadband Gaussian excitation. This technique takes into account the modal interactions; however, it requires the experimental extraction of linear normal modes which may not always be determined accurately by using low-excitation level tests especially in the case of friction type of nonlinearity which is widely encountered in many engineering systems comprising mechanical joints (e.g., bolted connections).…”
Section: Introductionmentioning
confidence: 99%
“…Most structural systems show a certain extent of nonlinearity associated with different sources [ 12 , 13 ]. However, neglecting the nonlinearity is acceptable in many cases for the sake of simplification of analysis [ 14 , 15 ]. In other cases, nonlinear behavior plays a dominant role.…”
Section: Introductionmentioning
confidence: 99%