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Continuous monitoring of large civil structures using a digital fiber optic motion sensor system

机译:使用数字光纤运动传感器系统连续监视大型民用建筑

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Abstract: There is no single attribute which can always predict structural deterioration. Accordingly, we have developed a scheme for monitoring a wide range of incipient deterioration parameters, all based on a single motion sensor concept. In this presentation, we describe how an intrinsically low power- consumption fiber optic harness can be permanently deployed to poll an array of optical sensors. The function and design of these simple, durable, and naturally digital sensors is described, along with the manner in which they have been configured to collect information for changes in the most important structural aspects. The SIMS system is designed to interrogate each sensor up to five-thousand times per second for the life of the structure, and to report sensor data back to a remote computer base for current and long-term analysis, and is directed primarily towards bridges. By suitably modifying the actuation of this very precise motion sensor, SIMS is able to track bridge deck deflection and vibration, expansion joint travel, concrete and rebar corrosion, pothole development, pier scour and tilt. Other sensors will track bolt clamp load, cable tension, and metal fatigue. All of these data are received within microseconds, which means that appropriate computer algorithm manipulations can be carried out to correlate one sensor with other sensors in real time. This internal verification feature automatically enhances confidence in the system's predictive ability and alerts the user to any anomalous behavior. !0
机译:摘要:没有单一的属性可以始终预测结构的恶化。因此,我们已经开发了一种方案,用于监视广泛的初期劣化参数,所有这些都是基于单个运动传感器的概念。在本演示中,我们描述了如何将本质上低功耗的光纤线束永久性地用于轮询光学传感器阵列。描述了这些简单,耐用且自然数字传感器的功能和设计,以及它们已配置为针对最重要的结构方面的变化收集信息的方式。 SIMS系统旨在在整个结构寿命内每秒对每个传感器进行5,000次询问,并将传感器数据报告给远程计算机以进行当前和长期分析,并且主要针对桥梁。通过适当修改这种非常精确的运动传感器的驱动,SIMS能够跟踪桥面板的挠度和振动,伸缩缝的行进,混凝土和钢筋的腐蚀,坑洼的发展,桥墩的冲刷和倾斜。其他传感器将跟踪螺栓夹紧负载,电缆张力和金属疲劳。所有这些数据都在几微秒内接收到,这意味着可以执行适当的计算机算法操作以将一个传感器与其他传感器实时关联。此内部验证功能会自动增强对系统预测能力的信心,并警告用户任何异常行为。 !0

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