地铁振动源强离散特征分析及预测方法研究

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中图分类号：TB533+.2；X827 文献标志码：A

Abstract：The influential factors，assessment method，and predictionmethod for the discretecharacteristicsof subway vibration source strength were investigated through discrete characteristic analysis.All-day vibration source strength was monitored at 52 typical test sections in subway tunnels under operational conditions in several Chinese cities.The discrete characteristics and main influential factors of the vibration source strength were analyzed.Based on these data，an MLP neural network prediction method was proposed to estimate the subway vibration source strength.The fluctuation amplitude of the measured maximum Z-weighted vibration level exceeds 20dB .The number of trials employed significantly affects the stability of the assessed vibration source strength. The fluctuation amplitude is 4.5dB and 2.2dB for 5 and 2O trains pass-by events， whereas the value reduces to 0.3dB when 100 trials are adopted.The out-of-roundness of wheels is the main factor that leads to the discreteness of measured vibration levels.Moreover， the proposed MLP neural network prediction method shows high accuracy in predicting the subway vibration source strength.

Key words： subway vibration source; discretization characteristics; assessment method; prediction method; measured data

Citation format： CHENJL，HE W，SUNCB，et al.Analysis of discrete characteristics and prediction method for subway vibration source strength[J]. Journal ofEast China Jiaotong University，2025，42（5）： 30-37.

随着城市轨道交通的深人发展，地铁列车诱发的环境振动问题日益凸显[1-3]。（剩余9008字）