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Combining nonlinear vibration absorbers and the Acoustic Black Hole for passive broadband flexural vibration mitigation

Abstract : The Acoustic Black Hole (ABH) effect refers to a special vibration damping technique adapted to thin-walled structures such as beams or plates. It usually consists of a local decrease of the structure thickness profile, associated to a thin viscoelastic coating placed in the area of minimum thickness. It has been shown that such structural design acts as an efficient vibration damper in the high frequency range, but not at low frequencies. This paper investigates how different types of vibration absorbers, linear and nonlinear, added to the primary system can improve the low frequency performance of a beam ABH termination. In particular, the conjugated effects of the Acoustic Black Hole effect and a Tuned Mass Damper (TMD), a Nonlinear Energy Sink (NES), a bi-stable NES (BNES), and a vibro-impact ABH (VI-ABH) are investigated. Forced response to random excitation are computed in the time domain using a modal approach combined with an energy conserving numerical scheme. Frequency indicators are defined to characterize and compare the performance of all solutions. The simulation results clearly show that all the proposed methods are able to damp efficiently the flexural vibrations in a broadband manner. The optimal tuning of each proposed solution is then investigated through a thorough parametric study, showing how to optimize the efficiency of each solution. In particular, TMD and VI-ABH show a slight dependence on vibration amplitude, while the performance of NES and BNES have a peak of efficiency for moderate amplitudes.
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Contributor : Cyril Touzé <>
Submitted on : Tuesday, September 29, 2020 - 4:20:27 PM
Last modification on : Wednesday, October 14, 2020 - 4:21:40 AM


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Haiqin Li, Cyril Touzé, Adrien Pelat, François Gautier. Combining nonlinear vibration absorbers and the Acoustic Black Hole for passive broadband flexural vibration mitigation. International Journal of Non-Linear Mechanics, Elsevier, 2020, pp.103558. ⟨10.1016/j.ijnonlinmec.2020.103558⟩. ⟨hal-02952867⟩



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