个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Professor
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:结构工程
办公地点:辽宁省大连市高新区凌工路2号大连理工大学土木工程学院4号楼311室 116024
联系方式:Tel: 0411-84706493; Mob: 139420502六六; QQ: 12557297
电子邮箱:wangyanlei@dlut.edu.cn
Experimental Investigation of a Self-Sensing Hybrid GFRP-Concrete Bridge Superstructure with Embedded FBG Sensors
点击次数:
论文类型:期刊论文
发表时间:2012-01-01
发表刊物:INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
收录刊物:SCIE
ISSN号:1550-1329
摘要:A self-sensing hybrid GFRP-concrete bridge superstructure, which consists of two bridge decks and each bridge deck is comprised of four GFRP box sections combined with a thin layer of concrete in the compression zone, was developed by using eight embedded FBG sensors in the top and bottom flanges of the four GFRP box sections at midspan section of one bridge deck along longitudinal direction, respectively. The proposed self-sensing hybrid bridge superstructure was tested in 4-point loading to investigate its flexural behavior and verify the operation of the embedded FBG sensors. The longitudinal strains of the hybrid bridge superstructure were recorded using the embedded FBG sensors as well as the surface-bonded electric resistance strain gauges. The experimental results indicate that the embedded FBG sensors can faithfully record the longitudinal strains of the hybrid bridge superstructure in tension at bottom flanges and in compression at top flanges of the four GFRP box sections over the entire loading range, as compared with the surface-bonded strain gauges. So, the proposed self-sensing hybrid GFRP-concrete bridge superstructure can reveal its internal strains in serviceability limit state as well as in strength limit state, and it will have wide applications for long-term monitoring in civil engineering.