为分析地铁隧道振动源强影响因素，以某地铁线路直线段为研究对象，同步采集车致振动信号和速度信号，统计分析全天测试样本的时域、频域特征。结果表明：早晚高峰时段，隧道内振动响应不一定完全最大，振动源强的离散程度与车辆状态直接相关，V1、V2两车所引起的隧道壁测点Z振级的均值相差6.7dB；取40组以上的测试样本计算振动源强，其结果更接近全天样本均值；由轮轨系统引起的隧道振动主频随车速的变化而偏移，车速与道床、隧道壁的振动加速度级呈现较强的线性正相关，车速每提高10km/h，振动分别增加约1.7dB和2.6dB；速度差在10km/h以内时，振动源强在1dB以内变化，速度差在10~20km/h时，增幅约为1.5~2.2dB；计算得到车速修正CV的系数为18.5，与环评振动预测公式中列车速度修正所使用的系数接近；隧道壁振动在40Hz以下的低频段离散较大，但该频段对振动源强的贡献度较小，占比15.29%，优势频段为50~63Hz，该频段对振动源强的贡献度达59.55%。研究成果可为环评振动预测公式的进一步精确化提供参考，为提高地铁隧道源强测试结果的准确性提供理论依据。

In order to analyze the influencing factors of the vibration source strength of subway tunnel, taking the straight line section of a subway line as the research object, the vehicle-induced vibration signals and velocity signals were collected synchronously, and the time-domain and frequency-domain characteristics of all-day test samples were statistically analyzed. The results show that during peak hours in the morning and evening, the vibration response inside the tunnel may not be completely maximum, and the degree of dispersion of the vibration source intensity is directly related to the vehicle state. The average difference in the VLZ of the tunnel wall measurement points caused by V1 and V2 vehicles is 6.7 dB; Take more than 40 sets of test samples to calculate the intensity of the vibration source, and the results are closer to the daily sample mean; The main frequency of tunnel vibration caused by the wheel rail system shifts with the change of vehicle speed. The vehicle speed shows a strong linear positive correlation with the vibration acceleration level of the track bed and tunnel wall. For every 10km/h increase in vehicle speed, the vibration increases by about 1.7dB and 2.6dB, respectively; When the speed difference is within 10km/h, the vibration source intensity changes within 1dB, and when the speed difference is between 10-20km/h, the increase is about 1.5-2.2dB; The coefficient of speed-corrected CV is calculated to be 18.5, which is close to the coefficient used for train speed correction in the vibration prediction formula; the tunnel wall vibration is more discrete in the low-frequency band below 40 Hz, but the contribution of this band to the source strength of vibration is small, accounting for 15.29%, and the dominant frequency band is 50-63 Hz, which contributes to the source strength of vibration by 59.55%. The research results can provide a reference for the further accuracy of the vibration prediction formula, and provide a theoretical basis for improving the accuracy of the metro tunnel source strength test results.

TH113；U231

国家自然科学基金项目（52178423,52068029）