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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
基于分布式光纤传感技术的铁路路基岩溶土洞塌陷监测
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发表时间:2022-10-10
发表刊物:铁道建筑
所属单位:建设工程学部
期号:2
页面范围:111-115
ISSN号:1003-1995
摘要:Karst cavern collapse is the most serious failure mode of railway subgrade with strong insidious and wide spatial distribution. Common monitoring and inspection methods cannot meet the requirement of distributed monitoring,so distributed Brillouin Optical Fiber sensing technology was put forward for the collapse location and identification. Collapse monitoring sensor was packaged by the fiber reinforced polymer,and absolute temperature compensation was developed to eliminate the effect of environmental temperature on collapse strain measurement. Experimental results show that absolute temperature can effectively eliminate the strain error induced by the temperature influence,the collapse strain was agreed with the real condition of cavern collapse based on the distributed collapse strain from cavern collapse identification and location.
备注:新增回溯数据
