A Numerical Analysis of the Non-Uniform Layered Ground Vibration Caused by a Moving Railway Load Using an Efficient Frequency–Wave-Number Method

Shaofeng Yao, Wei Xie (), Jianlong Geng, Xiaolu Xu and Sen Zheng
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Shaofeng Yao: Powerchina Huadong Engineering Co., Ltd., Hangzhou 310030, China
Wei Xie: Powerchina Huadong Engineering Co., Ltd., Hangzhou 310030, China
Jianlong Geng: Powerchina Huadong Engineering Co., Ltd., Hangzhou 310030, China
Xiaolu Xu: Powerchina Huadong Engineering Co., Ltd., Hangzhou 310030, China
Sen Zheng: Laboratory of Environmental Hydraulics, Ecole Polytechnique Fédérale de Lausanne, CH 1015 Lausanne, Switzerland

Mathematics, 2024, vol. 12, issue 11, 1-19

Abstract: The ground vibration caused by the operation of high-speed trains has become a key challenge in the development of high-speed railways. In order to study the train-induced ground vibration affected by geotechnical heterogeneity, an efficient frequency–wave-number method coupled with the random variable theory model is proposed to quickly obtain the numerical results without losing accuracy. The track is regarded as a composite Euler–Bernoulli beam resting on the layered ground, and the spatial heterogeneity of the ground soil is considered. The ground dynamic characteristics of an elastic, layered, non-uniform foundation are investigated, and numerical results at three typical train speeds are reported based on the developed Fortran computer programs. The results show that as the soil homogeneity coefficient increases, the peak acceleration continuously decreases in the transonic case, while it gradually increases in the supersonic case, and the ground acceleration spectrum at a far distance obviously decreases; the maximum acceleration occurs at the track edge, and a local rebound in vibration attenuation occurs in the supersonic case.

Keywords: numerical simulation; high-speed train; soil heterogeneity; ground vibration; frequency–wave-number method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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