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复合材料胶层光纤布格光栅应变监测优化配置研究
引用本文:张玉燕,任天昕,温银堂,刘勇,刘泽良.复合材料胶层光纤布格光栅应变监测优化配置研究[J].计量学报,2018,39(2):168-172.
作者姓名:张玉燕  任天昕  温银堂  刘勇  刘泽良
作者单位:1. 燕山大学 测试计量技术及仪器河北省重点实验室, 河北 秦皇岛 066004
2. 燕山大学 国防科学技术学院, 河北 秦皇岛 066004
3. 燕山大学 建筑工程与力学学院, 河北 秦皇岛 066004
基金项目:国家自然科学基金(61403333)
摘    要:航空航天用复合材料粘接胶层在制造和服役过程中不可避免会产生各种缺陷和损伤。针对其粘接胶层缺陷和损伤检测,基于光纤光栅应变传感原理,提出一种针对复合材料胶接层结构应变监测的光纤光栅传感网络优化配置的方法。通过仿真和实验研究了埋入复合材料构件胶接层的光纤布拉格光栅传感器在静载作用下的敏感区域分布特性,分析了载荷位移与布拉格波长漂移的关系,建立符合光纤布拉格光栅传感器实际特点的探测模型,采用粒子群优化算法进行光纤光栅传感网络的优化布置,研究结果表明光纤布拉格光栅传感器位置经优化后,覆盖率得到明显提高。

关 键 词:计量学  应变监测  粘接胶层  复合材料  光纤布拉格光栅  粒子群算法  优化配置  
收稿时间:2016-05-30

Strain Measurement and Optimal Placement of Fiber Bragg Sensors in Adhesive Layer of Composites
ZHANG Yu-yan,REN Tian-xin,WEN Yin-tang,LIU Yong,Liu Ze-liang.Strain Measurement and Optimal Placement of Fiber Bragg Sensors in Adhesive Layer of Composites[J].Acta Metrologica Sinica,2018,39(2):168-172.
Authors:ZHANG Yu-yan  REN Tian-xin  WEN Yin-tang  LIU Yong  Liu Ze-liang
Affiliation:1. Key Lab of Measurement Technology and Instrumentation of Hebei Province, Qinhuangdao, Hebei 066004, China
2. Institute of Defense Science and Technology,Yanshan University, Qinhuangdao, Hebei 066004, China
3. College of Civil Engineering and Mechanics, Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract:The composite materials for aeronautical application are usually assembled on the substrate surface by means of adhesion agent. It is inevitably to create a variety of defects and damage in the bonding and service process. The interface bonding quality has great influence on material’s preservation performance. In order to evaluate defect and damage in the adhesive layer, a method of optimal placement of fiber Bragg grating (FBG) sensor networks for strain monitoring of composite adhesive layer structures is proposed. Based on the principle of FBG strain sensing, Bragg wavelength shift law of FBG sensor under static loads is studied by simulations and experiments. According to the experimental results, the detection model which matches the actual characteristics of FBG sensor is established. On this basis, the particle swarm optimization algorithm that implements optimal arrangement of FBG sensing network is applied. Experimental show that sensor coverage has improved significantly as the position coordinates of FBG sensor is optimized.
Keywords:metrology  strain detection  adhesive layer  composite material  fiber Bragg grating  particle swarm optimization algorithm  optimal placement  
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