Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification

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dc.citation.articleNumber108402en_US
dc.citation.journalTitleMechanical Systems and Signal Processingen_US
dc.citation.volumeNumber166en_US
dc.contributor.authorJin, Mengshien_US
dc.contributor.authorKosova, Giancarloen_US
dc.contributor.authorCenedese, Mattiaen_US
dc.contributor.authorChen, Weien_US
dc.contributor.authorSingh, Aryanen_US
dc.contributor.authorJana, Debasishen_US
dc.contributor.authorBrake, Matthew R.W.en_US
dc.contributor.authorSchwingshackl, Christoph W.en_US
dc.contributor.authorNagarajaiah, Satishen_US
dc.contributor.authorMoore, Keegan J.en_US
dc.contributor.authorNoël, Jean-Philippeen_US
dc.date.accessioned2021-09-30T19:47:38Zen_US
dc.date.available2021-09-30T19:47:38Zen_US
dc.date.issued2022en_US
dc.description.abstractThe dynamic responses of assembled structures are greatly affected by the mechanical joints, which are often the cause of nonlinear behavior. To better understand and, in the future, tailor the nonlinearities, accurate methods are needed to characterize the dynamic properties of jointed structures. In this paper, the nonlinear characteristics of a jointed beam is studied with the help of multiple identification methods, including the Hilbert Transform method, Peak Finding and Fitting method, Dynamic Mode Decomposition method, State-Space Spectral Submanifold, and Wavelet-Bounded Empirical Mode Decomposition method. The nonlinearities are identified by the responses that are measured via accelerometers in a series of experiments that consist of hammer testing, shaker ringdown testing, and response/force-control stepped sine testing. In addition to accelerometers, two high-speed cameras are used to capture the motion of the whole structure during the shaker ringdown testing. Digital Image Correlation (DIC) is then adopted to obtain the displacement responses and used to determine the mode shapes of the jointed beam. The accuracy of the DIC data is validated by the comparison between the identification results of acceleration and displacement signals. As enabled by full-field data, the energy-dependent characteristics of the structure are also presented. The setup of the different experiments is described in detail in Part I (Chen et al., 2021) of this research. The focus of this paper is to compare nonlinear system identification methods applied to different measurement techniques and to exploit the use of high spatial resolution data.en_US
dc.identifier.citationJin, Mengshi, Kosova, Giancarlo, Cenedese, Mattia, et al.. "Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification." <i>Mechanical Systems and Signal Processing,</i> 166, (2022) Elsevier: https://doi.org/10.1016/j.ymssp.2021.108402.en_US
dc.identifier.doihttps://doi.org/10.1016/j.ymssp.2021.108402en_US
dc.identifier.urihttps://hdl.handle.net/1911/111422en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier.en_US
dc.subject.keywordJointed structuresen_US
dc.subject.keywordNonlinear system identificationen_US
dc.subject.keywordDigital Image Correlation (DIC)en_US
dc.subject.keywordAmplitude-dependent characteristicsen_US
dc.subject.keywordEnergy-dependent characteristicsen_US
dc.titleMeasurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identificationen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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