2020
DOI: 10.3390/vibration3030019
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Experimental Identification of Backbone Curves of Strongly Nonlinear Systems by Using Response-Controlled Stepped-Sine Testing (RCT)

Abstract: In stepped-sine testing of strongly nonlinear structures with the classical force-control strategy, corrective force perturbations of a standard controller used to capture the reference signal in the proximity of turning points of frequency response curves may often lead to a premature jump before reaching the actual resonance peak. Accordingly, a classical force-control approach is not suitable to identify backbone curves of strongly nonlinear structures. This paper shows that currently available commercial m… Show more

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Cited by 12 publications
(12 citation statements)
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“…The accurate identification of turning points and unstable branches of frequency response curves, which is a considerable issue even for the new generation experimental continuation techniques, is the prominent feature of the HFS technique. This feature was successfully used in [16] to experimentally determine the backbone curves of strongly nonlinear structures.…”
Section: Methodsmentioning
confidence: 99%
“…The accurate identification of turning points and unstable branches of frequency response curves, which is a considerable issue even for the new generation experimental continuation techniques, is the prominent feature of the HFS technique. This feature was successfully used in [16] to experimentally determine the backbone curves of strongly nonlinear structures.…”
Section: Methodsmentioning
confidence: 99%
“…Another method which uses feedback control to characterize the response of nonlinear structures is the so-called Response-Controlled stepped-sine Testing (RCT) [26,27]. CBC and RCT share an important conceptual similarity as both methods directly control the response of the system to achieve a particular response target.…”
Section: Introductionmentioning
confidence: 99%
“…FRCs, S-curves and RCT's constant-response FRFs are in fact the three possible ways in which the response manifold can be sliced. Data collected using RCT was interpolated using the Harmonic Force Surface (HFS) concept to successfully identify the nonlinearities of structures with stiffness [26], friction, and backlash [27] nonlinearities. However, RCT neglects the effects of nonfundamental harmonics, leaving the controller invasive and potentially affecting the identified orbits.…”
Section: Introductionmentioning
confidence: 99%
“…The main advantage of the RCT-HFS technique is the accurate extraction of turning points and unstable branches, if there are any, of these frequency response curves. This advantage helps to determine the NNM backbone curves of strongly nonlinear systems accurately by combining the resonance peaks of constantforce frequency response curves [24].…”
Section: Introductionmentioning
confidence: 99%
“…The RCT framework has been successfully applied so far to the T-beam benchmark, a real missile with considerable damping nonlinearity spread over the structure due to bolted connections [23] and on a real control fin actuation mechanism with complex and strong nonlinearity due to backlash and friction [24]. In a recent work [29], the identification of nonlinear modal parameters of a double-clamped beam that exhibits strong geometrical nonlinearity has been achieved successfully.…”
Section: Introductionmentioning
confidence: 99%