Simulation research on vibration damping performance of surface-attached local resonance unit

Kaiyuan Dong; Xiaotian Wang; Guoxing Lin; Honghua Bi

doi:10.1117/12.3046651

27 September 2024 Simulation research on vibration damping performance of surface-attached local resonance unit

Kaiyuan Dong, Xiaotian Wang, Guoxing Lin, Honghua Bi

Author Affiliations +

Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 132611O (2024) https://doi.org/10.1117/12.3046651
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China

Abstract

In this paper, the vibration characteristics of the plate structure are analyzed. Then, according to the vibration characteristics, a surface-attached local resonance element coupled with its natural frequency is designed. The vibration damping performance is studied by finite element simulation. The results show that the natural frequency of the local resonant element can be effectively designed by adjusting the material and structure parameters. The natural frequency can be increased by increasing the modulus of the elastic material and the natural frequency can be reduced by increasing the radius of the mass block. The resonance unit attached to the plate structure can play a significant damping effect, the average vibration acceleration level of 10~500Hz is reduced by about 9dB, compared with the uniform rubber plate, with a smaller additional weight to achieve better damping effect, and has a good application prospect in the low-frequency vibration damping application.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kaiyuan Dong, Xiaotian Wang, Guoxing Lin, and Honghua Bi "Simulation research on vibration damping performance of surface-attached local resonance unit", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 132611O (27 September 2024); https://doi.org/10.1117/12.3046651

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