On internal resonance analysis of a double-cable-stayed shallow-arch model with elastic supports at both ends

Su, Xiaoyang; Kang, Houjun; Guo, Tieding; Yan, Guirong Grace

doi:10.1007/s10409-022-21475-x

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…However, the local vibration mode of the defect in the interface debonding state is complex, and it is not accurate to consider only a single mode for analysis. The nondestructive detection technology based on the internal resonance [24][25][26][27] of local defect considers the complex dynamic interaction between modes, the coupling between modes and the energy transfer, which can effectively improve the signal-to-noise ratio and the detection ability under the background of noise, and reduce the misjudgment.…”

Section: Introductionmentioning

confidence: 99%

Application of local defect internal resonance method for detection of adhesive interface debonding

2022

Preprint

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The bonding interface is prone to debonding under environmental implication and long-time operational vibrations, which may affect the structural integrity severely. This paper presents an interface debonding identification method to solve adhesive interface debonding between aluminum plates in the framework of the internal resonance of local defects. Firstly, based on a two degree of freedom (2-DOF) nonlinear model of local defects in the bonding interface, the multi-scale method is used to explain the mechanism of the internal resonance of local defects and conditions for the generation of the internal resonance. By analyzing the saturation phenomenon peculiar to the 2:1 internal resonance of local defects in the spectrum, the adhesive interface debonding identification experiment of a bonding aluminum plate is carried out. The effectiveness of the local defect internal resonance method is verified by experimental results and theoretical analysis. The results demonstrate that the bonding structure appears the saturation phenomenon under the specific excitation conditions. Furtherly the local defect internal resonance method is found to be effective in solving adhesive interface debonding detection.

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Section: Introductionmentioning

confidence: 99%