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Long-Term Structural Health Monitoring System for a High-Speed Railway Bridge Structure

机译:高速铁路桥结构的长期结构健康监测系统

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摘要

Nanjing Dashengguan Bridge, which serves as the shared corridor crossing Yangtze River for both Beijing-Shanghai high-speed railway and Shanghai-Wuhan-Chengdu railway, is the first 6-track high-speed railway bridge with the longest span throughout the world. In order to ensure safety and detect the performance deterioration during the long-time service of the bridge, a Structural Health Monitoring (SHM) system has been implemented on this bridge by the application of modern techniques in sensing, testing, computing, and network communication. The SHM system includes various sensors as well as corresponding data acquisition and transmission equipment for automatic data collection. Furthermore, an evaluation system of structural safety has been developed for the real-time condition assessment of this bridge. The mathematical correlation models describing the overall structural behavior of the bridge can be obtained with the support of the health monitoring system, which includes cross-correlation models for accelerations, correlation models between temperature and static strains of steel truss arch, and correlation models between temperature and longitudinal displacements of piers. Some evaluation results using the mean value control chart based on mathematical correlation models are presented in this paper to show the effectiveness of this SHM system in detecting the bridge’s abnormal behaviors under the varying environmental conditions such as high-speed trains and environmental temperature.
机译:南京大城关桥,它作为北京 - 上海高速铁路和上海 - 武汉 - 成都铁路的共用走廊,是世界上第一个6赛道高速铁路桥,全球拥有最长的跨度。为了确保安全性并检测桥梁的长期服务期间的性能恶化,通过应用现代技术在传感,测试,计算和网络通信中应用了结构健康监测(SHM)系统。 。 SHM系统包括各种传感器以及用于自动数据收集的相应数据采集和传输设备。此外,已经为这座桥的实时条件评估开发了结构安全评估体系。可以利用健康监测系统的支持来获得描述桥梁整体结构行为的数学相关模型,其包括用于加速的互相关模型,钢桁架拱的温度和静态菌株之间的相关模型,以及温度之间的相关模型码头的纵向位移。本文介绍了使用基于数学相关模型的平均值控制图的一些评估结果,以显示该SHM系统在诸如高速列车和环境温度之类的不同环境条件下检测桥梁异常行为的有效性。

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