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Correlated GNSS and temperature measurements at 10-minute intervals on the Severn Suspension Bridge

机译:在Severn悬索桥上以10分钟为间隔进行相关GNSS和温度测量

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摘要

Global Navigation Satellite System (GNSS) data were gathered on the 998-m-long Severn Suspension Bridge main span. The antennas were located on the tops of the four support towers, as well as five locations on the suspension cables; data were gathered at rates of 10 and 20 Hz. In addition, air and steel temperatures were gathered every 10 min. The GNSS data were processed in an On The Fly manner relative to a reference receiver located on a fixed position adjacent to the Bridge, and the resulting dataset was compared to the air and steel temperature data measurements, and correlations reported. Moving average filters that eliminate short-term movements due to wind loading and traffic loading were applied to the GNSS data, resulting in the longer-term deflections due to temperature changes every 10 min. The temperature over the 3 days varied by up to 10 °C, and movements of the order of decimetres were seen. Clear numerical correlations between the changes in temperature and the changes in height are presented when analysed at these 10-min intervals, suggesting that temperature compensation in structural health monitoring systems could be readily applied, resulting in a sustainable structure.
机译:全球导航卫星系统(GNSS)数据收集在998米长的塞文悬索桥主跨上。天线位于四个支撑塔的顶部,以及悬挂电缆的五个位置。以10和20 Hz的速率收集数据。此外,每10分钟收集一次空气和钢铁温度。相对于位于邻近桥梁的固定位置的参考接收器,以“飞行”方式处理GNSS数据,并将所得数据集与空气和钢铁温度数据测量值进行比较,并报告相关性。消除了因风荷载和交通荷载引起的短期运动的移动平均滤波器被应用于GNSS数据,由于温度每10分钟发生一次变化而导致了长期挠度。 3天的温度变化高达10°C,并且观察到运动的幅度约为十亿分之一。以这10分钟为间隔进行分析时,温度变化和高度变化之间存在清晰的数值相关性,这表明结构健康监测系统中的温度补偿可以很容易地应用,从而实现可持续的结构。

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