A unified method for in-plane vibration analysis of double-beam systems with translational springs

Han, Fengbo; Deng, Zichen; Dan, Danhui

doi:10.1016/j.jsv.2022.117042

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…A detailed modelling process and a wide range of case studies are provided to explore the vibration characteristics of the double beam system. Fei et al presented the vibration analysis of a structure composed of two different beams connected by translational springs by the dynamic stiffness method (Han et al, 2022). The method has the advantage of high accuracy because the exact dynamic characteristics of the system can be obtained without any approximation.…”

Section: Introductionmentioning

confidence: 99%

The exact spectral element modeling and vibration analysis of the acoustic black hole double-beam system

Sheng

Ding

2023

Journal of Vibration and Control

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In this paper, we present a study of vibration characteristics of the double-beam structures combined with the concept of the acoustic black hole (ABH), which is an effective technique for vibration and noise control. In the proposed double-beam structure, the ABH beam as the vibration damper is attached to the primary uniform beam by a range of translational and rotational springs. We formulate the closed-form spectral element matrix of the double-beam structure and calculate the natural frequencies and mode shapes of the system. The results demonstrate the ABH effect of increasing the modal damping ratios. We also study the power flow and mechanical intensity of the system to offer physical insight into the vibration suppression mechanism of the ABH. A detailed parametric analysis of both translational and rotational springs is carried out. The investigation contributes to the exact dynamic modelling and analysis of the double-beam system containing ABH elements. Furthermore, the proposed ABH double-beam structure shows great potential for vibration control and energy harvesting.

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Section: Introductionmentioning

confidence: 99%