华东交通大学学报2025，Vol.42Issue(5)：30-37,8.
地铁振动源强离散特征分析及预测方法研究
Analysis of Discrete Characteristics and Prediction Method for Subway Vibration Source Strength
摘要
Abstract
The influential factors,assessment method,and prediction method for the discrete characteristics of 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 sever-al 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 ex-ceeds 20 dB.The number of trials employed significantly affects the stability of the assessed vibration source strength.The fluctuation amplitude is 4.5 dB and 2.2 dB for 5 and 20 trains pass-by events,whereas the value re-duces to 0.3 dB 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.关键词
地铁振动源强/离散性特征/评价方法/预测方法/实测数据Key words
subway vibration source/discretization characteristics/assessment method/prediction method/mea-sured data分类
通用工业技术引用本文复制引用
陈嘉梁,何卫,孙从博,钟勤发..地铁振动源强离散特征分析及预测方法研究[J].华东交通大学学报,2025,42(5):30-37,8.基金项目
国家自然科学基金项目(51508431) （51508431）
住房和城乡建设部科学技术计划项目(2022-K-153) （2022-K-153）
