2015
DOI: 10.1177/0954406215589842
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Characterizing the nonlinear behavior of a pseudoelastic oscillator via the wavelet transform

Abstract: The nonlinear dynamics of a shape memory oscillator (SMO) subjected to an ideal or nonideal excitation is studied. The restoring force of the oscillator is provided by a shape memory device (SMD), described by a thermomechanical model capable of reproducing the hysteretic behavior via the evolution of a suitable internal variable. Due to nonlinearities in the model, the SMO can exhibit periodic or non-periodic behaviors. The effects of the external sources on the response of SMO are studied through the scalogr… Show more

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Cited by 20 publications
(9 citation statements)
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“…As can be observed in Figure 13, the de-energization of 0.5τ (10% of the energization time) did not generate a significant difference between the results obtained with the continuous energization of i=1.792, being an alternative to solve the problem of the continuous energization observed by Piccirillo et al. (2015).…”
Section: Torque Control Using Mrfmentioning
confidence: 76%
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“…As can be observed in Figure 13, the de-energization of 0.5τ (10% of the energization time) did not generate a significant difference between the results obtained with the continuous energization of i=1.792, being an alternative to solve the problem of the continuous energization observed by Piccirillo et al. (2015).…”
Section: Torque Control Using Mrfmentioning
confidence: 76%
“…If a higher torque can also be observed, being that the torque variation for i=1.792 is -0.2418<TMR<0.2405, and to the torque variation for i=2 being-0.2297<TMR<0.2315, then, such torque is required to maintain the system, equation (9), with periodic behavior (Figure 12(a) and (b)). However, it is necessary to maintain the rotational MR damper energized with current i=1.792 continuously, which according to Piccirillo et al. (2015) is not intended for MR systems.…”
Section: Torque Control Using Mrfmentioning
confidence: 99%
“…The Wavelet transform is an important mathematical tool to analyze nonlinear systems and signals in the non-stationary regime. Some examples of the application of the Latin American Journal of Solids and Structures, 2019, 16(4), e179 11/20 wavelet transform in nonlinear systems are presented in Varanis et al (2018a,c); Piccirillo et al (2016). In addition, in the analysis made with the wavelet transform, the Mayer filter was used.…”
Section: Resultsmentioning
confidence: 99%
“…The microscopic models treat phenomena on a molecular level, therefore the macroscopic phenomenological models are more attractive from practical point of view. In the literature one can find a lot of interesting and thorough description of SMAs [4][5][6][7][8][9][10] and their applications [11][12][13][14]. Different models of SMA give various results depending on nonlinear phenomenon which are taken into account.…”
Section: Introductionmentioning
confidence: 99%