中国激光, 2017, 44 (4): 0410001, 网络出版: 2017-04-10   

内嵌预压式大量程光纤光栅传感器的智能钢绞线的研制与性能分析

Manufacturing and Performance Analysis of Intelligent Steel Strand Embedded with Prepressure Large Scale Fiber Bragg Grating Sensor
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 广西岩土力学与工程重点实验室, 广西 桂林 541004
3 哈尔滨工业大学土木工程学院, 黑龙江 哈尔滨 150001
4 大连理工大学土木工程学院, 辽宁 大连 116024
摘要
设计了一种在钢绞线中心丝上设置凹槽、在中心丝张拉持荷状态下于凹槽中嵌入光纤光栅(FBG)传感器的智能钢绞线, 使FBG传感器在服役前产生一定的压应变, 以解决FBG传感器封装存活率低以及监测量程不够的问题。理论分析了嵌入式FBG传感器与基体之间的应变传递率, 对凹槽的截面尺寸、传感器的黏结长度以及封装材料的弹性模量提出了设计要求。以中心丝持荷值为变化参数, 对FBG智能钢绞线进行不同监测量程的张拉实验。结果表明, 实验数据具有良好的线性度和重复性; 当中心丝持荷值达到中心丝极限承载力的30%以上时, FBG传感器的监测量程接近钢绞线的极限张拉力, 从而实现对钢绞线全生命周期的监测。
Abstract
An intelligent steel stand is designed, which is set a groove on the steel stand center wire and embedded with fiber Bragg grating (FBG) sensor under the state of the center wire holding a certain load. FBG sensor can generate a certain strain before serving. Thus, the problems of low survival rate and limited monitoring range of FBG sensor can be solved. Based on the theoretical analysis of the strain transfer rate between embedded FBG sensor and substrate, the cross-sectional size of the groove, the bond length of the sensor and the elastic modulus of the packaging material are proposed to meet the designed requirements. Tensile experiments for the FBG intelligent steel strand are carried out in different monitoring ranges according to different holding values. The results show that the experimental data has good linearity and repeatability. When the holding value reaches 30% of the ultimate bearing capacity of the center wire, the monitoring range of FBG sensor is close to the limit tension of the steel strand. The monitoring for whole life cycle of steel strand can be achieved.

覃荷瑛, 朱万旭, 张贺丽, 周智, 欧进萍. 内嵌预压式大量程光纤光栅传感器的智能钢绞线的研制与性能分析[J]. 中国激光, 2017, 44(4): 0410001. Qin Heying, Zhu Wanxu, Zhang Heli, Zhou Zhi, Ou Jinping. Manufacturing and Performance Analysis of Intelligent Steel Strand Embedded with Prepressure Large Scale Fiber Bragg Grating Sensor[J]. Chinese Journal of Lasers, 2017, 44(4): 0410001.

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