Dynamic Response of Suspension Bridge to Typhoon and Trains. I: Field Measurement Results
Dynamic Response of Suspension Bridge to Typhoon and Trains. I: Field Measurement Results
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DOI：
10.1061/(asce)0733-9445(2007)133:1(3
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Y. Xu;W. W. Guo-W.;J. Chen;K. Shum;H. Xia
中科院分区：
文献类型：
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作者：
Y. Xu;W. W. Guo-W.;J. Chen;K. Shum;H. Xia
1997年，香港青马吊桥安装了风与结构健康监测系统（WASHMS）。1999年9月16日，台风约克横过香港，这是1983年以来最强台风，也是有记录以来持续时间最长的台风。 2.5小时内，除火车外，所有车辆禁止在桥上行驶。这次活动提供了一个独特的机会来检查现有的分析模型，以预测长悬索桥对强风和运行列车的动态响应。因此，本文对 WASHMS 在此事件期间记录的现场测量数据进行了分析，并确定并讨论了四种特殊情况。确定的四种特殊情况包括：（1）桥上没有任何车辆； (2)一列火车的桥梁； (3) 两列火车相向行驶的桥梁； (4) 桥上有三列运行的列车。四种情况下的平均风速几乎垂直于桥梁线形，以便于与分析结果进行比较。对于每种情况，分别使用风速计、加速度计和液位传感系统的测量数据分析风特性、桥梁加速度响应和桥梁位移响应。桥上运行的列车数量、列车速度和列车位置也可以使用应变仪的测量数据来确定。测量结果清楚地表明了强风期间桥梁与运行列车的动态行为。获得的测量结果还将用于验证作者在配套论文中开发的分析模型。
A wind and structural health monitoring system (WASHMS) was installed in the Tsing Ma suspension bridge in Hong Kong in 1997. On September 16, 1999, Typhoon York, which was the strongest typhoon since 1983 and the typhoon of the longest duration on record, crossed over Hong Kong. All vehicles, except trains, were prohibited from running on the bridge for 2.5 h. This event provided a distinctive opportunity to examine the existing analytical models for predicting dynamic response of long suspension bridges to high winds and running trains. The field measurement data recorded by the WASHMS during this event were therefore analyzed and the four particular cases were identified and discussed in this paper. The four particular cases identified included: (1) the bridge without any vehicles; (2) the bridge with one train; (3) the bridge with two trains running in opposite directions; and (4) the bridge with three running trains. The mean wind speed was almost perpendicular to the bridge alignment in the four cases to facilitate the comparison with analytical results. For each case, wind characteristics, bridge acceleration responses, and bridge displacement responses were analyzed using the measurement data from anemometers, accelerometers, and level sensing systems, respectively. The number of trains running on the bridge, train speed, and train location were also identified using the measurement data from strain gauges. The measurement results clearly demonstrated the dynamic behavior of the bridge with running trains during high winds. The measurement results obtained will also be used to verify the analytical model developed by the authors in the companion paper.