Vibration mitigation design and effect prediction of ballast turnout in metro depot

Fang Cheng; Hui Liu

doi:10.1117/12.2673727

22 May 2023 Vibration mitigation design and effect prediction of ballast turnout in metro depot

Fang Cheng, Hui Liu

Author Affiliations +

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126401U (2023) https://doi.org/10.1117/12.2673727
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

As the main vibration source of metro depot, the throat area has seriously affected the work and life of the occupants in over-track building. However, there are few researches on vibration mitigation of turnout. Aiming at the No. 7 single turnout with 50 kg/m rails in ballast bed, the design and effect predictions of the combined vibration mitigation with under sleeper pads (USP) and under ballast mats (UBM) is carried out through the stiffness homogenization, dynamics calculation and three-degree-of-freedom vibration calculation. The study results show that: the USP not only helps to improve the turnout stiffness irregularities longitudinally, and can significantly improve the vibration mitigation effect. When using the UBM alone, the vibration mitigation effect is optimal up to 9 dB. However, after laying the USP, the vibration mitigation effect can reach about 15 dB, which increased by 67%, and meet the vibration mitigation need in the metro depot.

Citation Download Citation

Fang Cheng and Hui Liu "Vibration mitigation design and effect prediction of ballast turnout in metro depot", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126401U (22 May 2023); https://doi.org/10.1117/12.2673727

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