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个人信息Personal Information
高级工程师
性别:男
毕业院校:哈尔滨工业大学
学位:博士
所在单位:土木工程系
学科:防灾减灾工程及防护工程
联系方式:hejianp@dlut.edu.cn
电子邮箱:hejianp@dlut.edu.cn
Optic fiber sensor-based smart bridge cable with functionality of self-sensing
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论文类型:期刊论文
发表时间:2013-02-01
发表刊物:MECHANICAL SYSTEMS AND SIGNAL PROCESSING
收录刊物:SCIE、EI
卷号:35
期号:1-2
页面范围:84-94
ISSN号:0888-3270
关键字:Optical fiber Bragg grating; Fiber reinforced polymer rebar; Brillouin distributed sensor; Bridge cable; Structural health monitoring
摘要:Bridge cables, characterized by distributed large span, serving in harsh environment and vulnerability to random damage, are the key load-sustaining components of cable-based bridges. To ensure the safety of the bridge structure, it is critical to monitor the loading conditions of these cables under lengthwise random damages. Aiming at obtaining accurate monitoring at the critical points as well as the general information of the cable force distributed along the entire cable, this paper presents a study on cable force monitoring by combining optical fiber Bragg grating (FBG) sensors and Brillouin optical time domain analysis/reflectory (BOTDA/R) sensing technique in one single optical fiber. A smart FRP-OF-FBG rebar based cable was fabricated by protruding a FRP packaged OF-FBG sensor into the bridge cable. And its sensing characteristics, stability under high stress state temperature self-compensation as well as BOTDA/R distributed data improvement by local FBG sensors have been investigated. The results show that FRP-OF-FBG rebar in the smart cable can deform consistantly along with the steel wire and the cable force obtained from the optical fiber sensors agree well with theoretical value with relative error less than +/- 5%. Besides, the temperature self-compensation method provides a significant cost-effective technique for the FRP-OF-FBG based cables' in situ cable force measurement. And furthermore, potential damages of the bridge cable, e.g. wire breaking and corrosion, can be characterized and symbolized by the discontinuity and fluctuation of the distributed BOTDA data thereafter accuracy improved by local FBG sensors. (c) 2012 Elsevier Ltd. All rights reserved.