摘要
以便保证严峻的范围和为聪明的电报使用的纤维布拉格栅栏(FBG ) 的长期的可靠性，基于减少的封装结构与 FBG 紧张传感器嵌入的一个聪明的电报被设计。为一个聪明的电报标本，从 10 万与周期装载实验到 200 万和 0.95 的疲劳预定名字的碎电报力量(P < 潜水艇 class= “ a-plus-plus ” > b </sub>) 被执行，它测试了聪明的电报的长服务的效果。在逐步的疲劳周期过程期间装载并且卸掉的静态的紧张的测试结果证明包含的 FBG 紧张传感器有好线性和重覆性。另外，所有传感器在 200 万个次疲劳周期以后幸存。0.95P < 潜水艇 class= “ a-plus-plus ” > b </sub> 静电干扰紧张测试证明在电报内嵌入的包含的 FBG 紧张传感器在 0.86P 到达了 4.5% 严峻的精确性 < 潜水艇 class= “ a-plus-plus ” > b </sub> 工作范围。在 0.95P 以后 < 潜水艇 class= “ a-plus-plus ” > b </sub> 静电干扰紧张测试，解剖测试被打破力量紧张执行。结果证明包含的传感器的外观好，并且设计结构没被改变并且损坏。
In order to ensure the testing range and long-term reliability of the fiber Bragg grating （FBG） used for the smart cable, a smart cable embedded with FBG strain sensors based on the desensitized encapsulation structure was designed. For a smart cable specimen, the fatigue loading experiments with the cycle from 100 thousands to 2 million and 0.95 times nominal breaking cable force （Pb） were carried out, which tested the long-serving effects of the smart cable. The test results of the static tension loading and unloading during the stepwise fatigue cycle process showed that the encapsulated FBG strain sensors had the good linearity and repeatability. Also all sensors survived after 2 million times fatigue cycle. 0.95Pb static tension test showed that the encapsulated FBG strain sensors embedded inside the cable reached 4.5% testing accuracy in the 0.86Pb working range. After 0.95Pb static tension test, the dissection test was carried out by breaking the force tension. The results showed that the appearances of the encapsulated sensors were good, and the design structures were not changed and damaged.
基金
The research work reported in this paper was jointly supported by the National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, China and FASTEN Group Company. Thanks to the support of Wuhan City Building Research Funds （201310）, the Fundamental Research Funds for the Central Universities （WUT： 2014-IV-090）, and the National Natural Science Foundation of China （Major Program： 61290310）. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author（s） and source are credited.
