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

机译:高速铁路桥梁结构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:南京大胜关大桥是京沪高铁和沪武汉-成都铁路的共同穿越长江的走廊,是世界上第一座跨距最长的六轨高速铁路桥。为了确保桥梁的长期服务期间的安全性和检测性能下降,通过在传感,测试,计算和网络通信中应用现代技术,在该桥梁上实施了结构健康监视(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,已经开发了结构安全性评估系统,用于对该桥梁的实时状态评估。可以在健康监控系统的支持下获得描述桥梁整体结构行为的数学相关模型,其中包括加速度的互相关模型,钢桁架拱的温度和静态应变之间的相关模型以及温度之间的相关模型。和桥墩的纵向位移。本文提出了一些基于数学相关模型的均值控制图评估结果,以证明该SHM系统在检测诸如高速列车和环境温度等变化环境条件下桥梁异常行为方面的有效性。

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