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Prediction of Bridge Pier Scour Depth and Field Scour Depth Monitoring

机译:桥墩冲刷深度和现场冲刷深度监控预测

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In practice, it is a major challenge in real-time simulation and prediction of bridge pier scour depth, especially using 3-D numerical model. The simulation time spend too much to use 3-D numerical model simulation and inefficiently to predict bridge pier scour depth in real-time. With heavy rainfall during flood season in Taiwan, abundant sediment with flash flood from upstream watershed is transported to downstream river reaches and transportation time is limited within one day. The flood flow tends to damage bridge structures and affect channel stabilization in fluvial rivers. In addition, the main factors affecting the erosional depth around bridge piers and river bed stabilization are hydrological and hydrographic characteristics in river basin, the scouring and silting of river bed section near the bridge piers, the bridge geometry and protection works of bridge piers. Therefore, based on the observed rainfall data provided by the Central Weather Bureau and the hydrological conditions provided by the Water Resources Agency during flood event as the boundary condition, we develop an effective simulation system for scour depth of bridge piers. The scour depth at the bridge pier is observed by the National Center for Research on Earthquake Engineering for model calibration. In this study, an innovative scour monitoring system using vibration-based Micro-Electro Mechanical Systems (MEMS) sensors was applied. This vibration-based MEMS sensor was packaged inside a stainless sphere with the proper protection of the full-filled resin, which can measure free vibration signals to detect scouring/deposition processes at the bridge pier. It has demonstrated that the measurement system for monitoring bridge scour depth evolution is quite successful in the field.
机译:在实践中,它在实时模拟和桥墩冲刷深度的预测中是一个重大挑战,特别是使用3-D数值模型。模拟时间花费太多以使用三维数值模型模拟,并且实时地预测桥接码头冲刷深度。在台湾汛期洪水季节的降雨量,来自上游流域的闪光洪水丰富的沉积物被运送到下游河到下游,运输时间在一天内有限。洪水倾向于损坏桥梁结构并影响河流河流中的信道稳定。此外,影响桥梁桥墩侵蚀深度的主要因素是河流河流域的水文和水文特征,桥墩附近的河床剖面淤积,桥梁几何和桥墩保护作品。因此,基于中央气象局提供的观察到的降雨数据和水资源机构在洪水事件中提供的水文条件作为边界条件,我们开发了一种用于桥接码头深度的有效仿真系统。桥梁码头的冲浪深度由国家地震工程研究中心进行模型校准。在本研究中,应用了使用基于振动的微电机械系统(MEMS)传感器的创新冲刷监控系统。基于振动的MEMS传感器在不锈钢范围内封装,具有适当的全填充树脂,可以测量自由振动信号以检测桥墩的擦洗/沉积过程。它表明,监测桥梁深度演进的测量系统在该领域非常成功。

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