激光与光电子学进展, 2023, 60 (1): 0106003, 网络出版: 2022-12-09  

利用FBG传感器监测拉索断丝信号的实验研究 下载: 505次

Experimental Study on Monitoring Cable Broken Wire Signal by FBG Sensor
余文成 1,2,3骆小勇 1,2,3覃荷瑛 1,2,3,*
作者单位
1 桂林理工大学土木与建筑工程学院,广西 桂林 541004
2 桂林理工大学有色金属矿产勘查与资源高效利用协同创新中心,广西 桂林 541004
3 广西岩土力学与工程重点实验室,广西 桂林 541004
摘要
钢绞线在复杂的工程环境中可能会出现断丝现象,为了有效识别断丝信号,制作了一种将光纤布拉格光栅(FBG)应变传感器内嵌预压至钢绞线中心丝的自感知钢绞线。分析自感知钢绞线对断丝信号识别的灵敏性,探讨了拉索损伤面积和损伤位置与断丝信号强弱的关联性。以普通钢绞线损伤面积、损伤位置和传感器位置为研究变量,对由16束普通钢绞线和3束自感知钢绞线组成的拉索展开三组张拉断丝实验。实验结果表明:各自感知钢绞线能精确识别断丝信号,且断丝信号与自感知钢绞线中FBG的分布位置无关;各自感知钢绞线识别到断丝信号的时间基本一致,且FBG传感器采集的断丝信号强弱与普通钢绞线的损伤位置和程度有关。
Abstract
Wire breakage may occur in steel strands in complex engineering environments. In order to effectively identify broken wire signals, a self-sensing steel strand with fiber Bragg grating (FBG) strain sensor embedded and pre-stressed to the center wire of the steel strand is fabricated in this paper. The sensitivity of self-sensing steel strand to the identification of broken wire signals is analyzed to explore the correlation between the damage area and location of cables and the strength of broken wire signals. Taking the damage area, damage location and sensor location of ordinary steel strands as research variables, three groups of tension wire breaking tests are carried out on cables composed of 16 ordinary steel strands and 3 self-sensing steel strands. The test results show that the respective sensing strands can accurately identify the broken wire signal, and the identification of broken wire signal is independent of the distribution position of FBG measuring points in the self-sensing steel strand. The time period of the broken wire signal detected by each sensor is basically the same, and the strength of the broken wire signal collected by the FBG sensor is related to the location and degree of the common steel strand damage.

余文成, 骆小勇, 覃荷瑛. 利用FBG传感器监测拉索断丝信号的实验研究[J]. 激光与光电子学进展, 2023, 60(1): 0106003. Wencheng Yu, Xiaoyong Luo, Heying Qin. Experimental Study on Monitoring Cable Broken Wire Signal by FBG Sensor[J]. Laser & Optoelectronics Progress, 2023, 60(1): 0106003.

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