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高速铁路桥梁车致加速度响应监测数据分类方法研究

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为提高不同列车过桥时基于车致加速度响应的桥梁结构损伤识别准确性,提出了一种基于加速度传感器的高速铁路桥梁车致加速度响应监测数据分类方法.该方法根据桥梁结构健康监测系统中加速度传感器监测数据幅值的变化趋势,在监测数据时程曲线中确定2个标记点,将标记点对应的时间分别作为列车抵达和驶离传感器的近似时间,然后通过2个不同位置加速度传感器的标记点识别出高铁列车的相对车速、行驶方向和编组数量,并据此对桥梁结构车致加速度响应监测数据进行分类.将该方法应用于商合杭客专裕溪河特大桥健康监测系统中,实现了对不同列车荷载作用下的桥梁结构车致加速度响应监测数据的程序化自动分类,识别出的列车编组数量和行驶方向与现场视频监控结果一致.
Research on Classification Method of Monitored Train-Induced Accelerations in High-Speed Railway Bridges
To improve the damage identification accuracy of the bridge structure based on accelerations induced by different trains,a method to classify the monitored train-induced accelerations of the high-speed railway bridge using acceleration sensors is proposed.In accordance with the varying trend of the monitored data in the structural health monitoring system,2 points were marked in the time-history curve of the monitoring data,and the time corresponding to the two marked points were roughly taken as the time when a train was arriving and leaving.Furthermore,the data registered in the acceleration sensors at the two marked points were applied to identify the relative train speed,travelling direction and number of carriages,based on which the monitored train-induced vibrations were classified.The method has been applied to the structural health monitoring system of the Yuxihe River Bridge carrying a section of the Shangqiu-Hefei-Hangzhou Passenger Dedicated Railway,to achieve the automatic classification of the monitored train-induced accelerations on the bridge,and the number of carriages and train travelling direction identified were verified correct by the footages.

high-speed railway bridgestructural health monitoring systemacceleration responsemonitored data classificationrelative velocities of traintrain carriage numbertrain travelling direction

于虹、文望青、严爱国、余兴胜、闫俊锋

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中铁第四勘察设计院集团有限公司,湖北武汉 430063

中国铁建股份有限公司桥梁工程实验室,湖北武汉 430063

高速铁路桥梁 健康监测系统 加速度响应 监测数据分类 列车相对车速 列车编组数量 列车行驶方向

湖北省重点研发计划项目湘江实验室项目中铁第四勘察设计院集团有限公司软件开发课题

2023BCB04522XJ010032020D006

2024

世界桥梁
中铁大桥局集团有限公司

世界桥梁

CSTPCD北大核心
影响因子:0.928
ISSN:1671-7767
年,卷(期):2024.52(5)