Promoting effect and microscopic mechanism of train-induced vibration on loess disintegration

Li, Shan; Wang, Jiading; Han, Kai; Wang, Li; Zhang, Dengfei; Dong, Haoyu; Cui, Bo

doi:10.1016/j.enggeo.2024.107559

Engineering Geology

2024

DOI: 10.1016/j.enggeo.2024.107559

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Promoting effect and microscopic mechanism of train-induced vibration on loess disintegration

Shan Li,

Jiading Wang,

Kai Han

et al.

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2024

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Cited by 2 publications

References 39 publications

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Effect of sisal fibers on the disintegration characteristics of sisal fiber-amended loess

Jiang,

Wang,

Xiao

et al. 2024

Construction and Building Materials

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Effect of sisal fibers on the disintegration characteristics of sisal fiber-amended loess

Jiang,

Wang,

Xiao

et al. 2024

Construction and Building Materials

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Train-Induced Vibration and Structure-Borne Noise Measurement and Prediction of Low-Rise Building

Chen,

Hou,

Zheng

et al. 2024

Buildings

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The advancement of urban rail transit is increasingly confronted with environmental challenges related to vibration and noise. To investigate the critical issues surrounding vibration propagation and the generation of structure-borne noise, a two-story frame building was selected for on-site measurements of both vibration and its induced structure-borne noise. The collected data were analyzed in both the time and frequency domains to explore the correlation between these phenomena, leading to the proposal of a hybrid prediction method for structural noise that was subsequently compared with measured results. The findings indicate that the excitation of structure-borne noise produces significant waveforms within sound signals. The characteristic frequency of the structure-borne noise is 25–80 Hz, as well as that of the train-induced vibration. Furthermore, there exists a positive correlation between structural vibration and structure-borne noise, whereby increased levels of vibration correspond to more pronounced structure-borne noise; additionally, indoor distribution patterns of structure-borne noise are non-uniform, with corner wall areas exhibiting greater intensity than central room locations. Finally, a hybrid prediction methodology that is both semi-analytical and semi-empirical is introduced. The approach derives dynamic response predictions of the structure through analytical solutions, subsequently estimating the secondary noise within the building’s interior using a newly formulated empirical equation to facilitate rapid predictions regarding indoor building vibrations and structure-borne noises induced by subway train operations.

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Promoting effect and microscopic mechanism of train-induced vibration on loess disintegration

Cited by 2 publications

References 39 publications

Effect of sisal fibers on the disintegration characteristics of sisal fiber-amended loess

Effect of sisal fibers on the disintegration characteristics of sisal fiber-amended loess

Train-Induced Vibration and Structure-Borne Noise Measurement and Prediction of Low-Rise Building

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