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首页> 外文期刊>American Journal of Civil Engineering >Hybrid fibre optic sensor network for real-time high temperature performance monitoring of steel structures
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Hybrid fibre optic sensor network for real-time high temperature performance monitoring of steel structures

机译：混合光纤传感器网络，用于钢结构的实时高温性能监测

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摘要

In and post a fire event, an accurate and real-time evaluation and monitoring of a structure's performance can assist firefighters for efficient survivor rescuing, which significantly improve the fire rescuing safety both for fire fighters and the trapped survivors. However, due to the lack of durable sensors, the structural performance of steel structures in fire conditions is challenging to be evaluated in real time, especially when the associated civil structures are in a large scale. In this paper, a fiber optic sensor network is developed and used to monitor the structural performance of the steel structures in high temperature environments. The fiber optic sensor network has the capacity of real-time large strain measurement up to 12% and temperature of up to 700℃ simultaneously. The capability of large strain measurement up to 12% enables the sensor system to monitor the strain distribution of steel structures during fire events in real time. An one-story one-bay steel frame (A36 steel) is used as an example in this paper to perform the structural performance assessment of steel structures in high temperature using the developed sensor network. The simulated fire tests were performed using high temperature furnace through gradual temperature increase from room temperature to 800℃ at a rate of 10℃/min. The evaluated fiber optic sensor network consists of two long period fiber grating (LPFG) temperature sensors, five movable extrinsic Fabry-Perot interferometric (EFPI) large strain sensors, and two hybrid EFPI/LPFG sensors, which were distributed along the steel frame inside and around the heating zone of the frame. Experimental results demonstrated that the developed sensor network effectively monitored the plastic hinge formation and failure mode of the steel frame, approving the feasibility of the sensor network for steel structure evaluation in high temperature environments.
机译：在发生火灾后和发生火灾后，对建筑物的性能进行准确，实时的评估和监控可以帮助消防员有效地抢救幸存者，从而显着提高消防员和被困幸存者的灭火安全性。但是，由于缺乏耐用的传感器，火灾条件下钢结构的结构性能难以实时评估，尤其是在相关的土木结构大规模使用时。在本文中，开发了一种光纤传感器网络并将其用于监视高温环境下钢结构的结构性能。光纤传感器网络具有高达12％的实时大应变测量能力以及高达700℃的温度。高达12％的大应变测量能力使传感器系统能够实时监测火灾期间钢结构的应变分布。本文以一个单层单托架钢框架（A36钢）为例，使用开发的传感器网络对高温下的钢结构进行结构性能评估。模拟燃烧试验是使用高温炉通过以10℃/ min的速率从室温逐渐升高到800℃进行的。经过评估的光纤传感器网络包括两个长周期光纤光栅（LPFG）温度传感器，五个可移动外在法布里-珀罗干涉（EFPI）大应变传感器以及两个混合EFPI / LPFG传感器，它们沿钢架内部和内部分布。在框架的加热区域周围。实验结果表明，所开发的传感器网络可以有效监测钢框架的塑性铰形成和破坏模式，从而证明了该传感器网络在高温环境下进行钢结构评估的可行性。

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