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dc.contributor.authorJin, Mengshi
Kosova, Giancarlo
Cenedese, Mattia
Chen, Wei
Singh, Aryan
Jana, Debasish
Brake, Matthew R.W.
Schwingshackl, Christoph W.
Nagarajaiah, Satish
Moore, Keegan J.
Noël, Jean-Philippe
dc.date.accessioned 2021-09-30T19:47:38Z
dc.date.available 2021-09-30T19:47:38Z
dc.date.issued 2022
dc.identifier.citation Jin, 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." Mechanical Systems and Signal Processing, 166, (2022) Elsevier: https://doi.org/10.1016/j.ymssp.2021.108402.
dc.identifier.urihttps://hdl.handle.net/1911/111422
dc.description.abstract The 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.
dc.language.iso eng
dc.publisher Elsevier
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier.
dc.title Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification
dc.type Journal article
dc.citation.journalTitle Mechanical Systems and Signal Processing
dc.subject.keywordJointed structures
Nonlinear system identification
Digital Image Correlation (DIC)
Amplitude-dependent characteristics
Energy-dependent characteristics
dc.citation.volumeNumber 166
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1016/j.ymssp.2021.108402
dc.type.publication post-print
dc.citation.articleNumber 108402


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