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新型电磁传感器嵌入钢筋混凝土梁中用于裂缝检测。

Novel Electromagnetic Sensors Embedded in Reinforced Concrete Beams for Crack Detection.

机构信息

Built Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK.

Sensor City Liverpool Limited, 31 Russell Street, Liverpool L3 5LJ, UK.

出版信息

Sensors (Basel). 2019 Nov 26;19(23):5175. doi: 10.3390/s19235175.

Abstract

This paper investigates the possibility of applying novel microwave sensors for crack detection in reinforced concrete structures. Initially, a microstrip patch antenna with a split ring resonator (SRR) structure was designed, simulated and fabricated. To evaluate the sensor's performance, a series of structural tests were carried out and the sensor responses were monitored. Four reinforced concrete (RC) beam specimens, designed according to the European Standards, were tested under three-point bending. The load was applied incrementally to the beams and the static responses were monitored via the use of a load cell, displacement transducers and crack width gauges (Demec studs). In parallel, signal readings from the microwave sensors, which were employed prior to the casting of the concrete and located along the neutral axis at the mid-span of the beam, were recorded at various load increments. The microwave measurements were analysed and compared with those from crack width gauges. A strong linear relationship between the crack propagation and the electromagnetic signal across the full captured spectrum was found, demonstrating the technique's capability and its potential for further research, offering a reliable, low-cost option for structural health monitoring (SHM).

摘要

本文研究了将新型微波传感器应用于钢筋混凝土结构裂纹检测的可能性。首先,设计、模拟并制作了一个带有环形谐振器 (SRR) 结构的微带贴片天线。为了评估传感器的性能,进行了一系列结构测试并监测了传感器的响应。根据欧洲标准设计了四个钢筋混凝土 (RC) 梁试件,在三点弯曲下进行测试。通过使用负载单元、位移传感器和裂缝宽度计 (Demec 螺柱) 来监测梁的静态响应。同时,在混凝土浇筑之前,在梁的中和轴上的中间位置安装了微波传感器,并记录了不同负载增量下的信号读数。对微波测量结果进行了分析,并与裂缝宽度计的测量结果进行了比较。在整个捕获的频谱中,发现裂纹扩展与电磁信号之间存在很强的线性关系,这证明了该技术的能力及其在进一步研究中的潜力,为结构健康监测 (SHM) 提供了一种可靠、低成本的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a132/6928830/53d1547f0de5/sensors-19-05175-g001a.jpg

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