高速列车过桥引起的地面振动特性分析
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华东交通大学铁路环境振动与噪声教育部工程研究中心

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基于模型试验和FE-SEA混合法的高架轨道结构振动噪声预测及控制


Analysis of ground vibration characteristics caused by high-speed train passing through the bridge
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    摘要:

    为研究高速列车过桥引起的环境振动问题,以沪昆客运专线某铁路桥梁为工程背景,采用现场实测和有限元法获取地面振动特性。将计算值与实测值对比分析,结果表明:高速列车过桥引起的地面横向振动加速度稍大于垂向振动加速度,频谱曲线的主峰频率点可视为周期载荷诱发的共振频率;横垂向卓越频率分布区间为10~80 Hz,频带内各单频加速度幅值随距离增加呈波动衰减趋势;当不同频率的振动波波峰相遇时,相遇点的振动叠加出现放大现象;横垂向加速度最大振级对应的频带为25~63 Hz,大部分出现在31.5 Hz;实测值和计算值在幅值大小及变化趋势吻合较好,加速度Z振级最大误差为1.4 dB。可见,有限元模型满足精度要求,证明该方法能够有效预测环境振动响应。

    Abstract:

    In order to study the environmental vibration caused by high-speed trains passing through elevated tracks, an experimental test site has been selected, corresponding to a stretch of the railway connection between Shanghai and Kunming,field measurement and finite element method were used to obtain the ground vibration characteristics. Comparing the calculated value with the measured value, the results show that the ground lateral vibration acceleration caused by the high-speed train crossing the bridge was slightly larger than the vertical vibration acceleration, and the main peak frequency point of the frequency spectrum curve could be regarded as the resonance frequency induced by the periodic load; The excellent frequency distribution range of lateral and vertical acceleration was 10-80 Hz, and the acceleration amplitude of each single frequency in the frequency band tended to fluctuate and decay with increasing distance; When the vibration peaks of different frequencies meet, the vibration superposition at the meeting point appeared amplification; The frequency band corresponding to the maximum vibration level of lateral and vertical acceleration appeared at 3.15 Hz of the range of 25-63 Hz; The numerical results of ground vibrations showed an acceptable agreement with the real measurements in amplitude and changing trend, and the maximum error of acceleration Z vibration level was 1.4dB. So the finite element model meets the accuracy requirement, which proves that this method can be used to predict the environmental vibration response.

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  • 收稿日期:2022-06-29
  • 最后修改日期:2022-06-29
  • 录用日期:2022-08-10
  • 在线发布日期: 2023-06-21
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