铁道标准设计2025,Vol.69Issue(6):39-45,7.DOI:10.13238/j.issn.1004-2954.202311210001
轨道交通车致环境振动源强监测中列车通过时段的自动识别方法
Automatic Identification Method for Train Passing Periods in Monitoring Source Intensity of Environmental Vibration Induced by Rail Transit Vehicles
摘要
Abstract
The identification of train passing periods significantly affects the accurate calculation of evaluation indicators of environmental vibration induced by rail transit vehicles.Based on extensive monitoring data of source intensity of environmental vibration induced by rail transit vehicles and commonly used data analysis methods,typical monitoring data samples were taken as objects for specific analysis.The effects of train passing period identification in monitoring the source intensity of vehicle-induced environmental vibration on evaluation results were investigated,and technical measures to eliminate such effects were proposed.The results showed that the identification of train passing periods had a significant impact on the evaluation results of vehicle-induced environmental vibration.Specifically,the maximum difference in the frequency-divided vibration levels of source intensity samples calculated by the peak-hold method reached 5.5 dB.There were notable differences in the Z-vibration levels of the source intensity acceleration of vehicle-induced environmental vibration obtained through W-weighting and Wk-weighting,with a maximum difference of 3.5 dB.Moreover,the difference became significantly larger when train passed.Leveraging this characteristic,an automatic identification method for train passing periods can be proposed,thereby improving the reliability of evaluation results for environmental effect of vehicle-induced vibration.关键词
轨道交通/自动识别方法/列车通过时段/车致环境振动/振动评价Key words
rail transit/automatic identification method/train passing period/vehicle-induced environmental vibration/vibration evaluation分类
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李秋义,罗伟,杨建近,朱彬,朱胜阳..轨道交通车致环境振动源强监测中列车通过时段的自动识别方法[J].铁道标准设计,2025,69(6):39-45,7.基金项目
国家自然科学基金项目(52208446) (52208446)
四川省自然科学基金项目(2022NSFSC1871) (2022NSFSC1871)
中铁第四勘察设计院集团有限公司重大科技开发课题(2021K083) (2021K083)
中铁第四勘察设计院集团有限公司科技开发课题(2022K105) (2022K105)