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    许斌

    • 教授 博士生导师 硕士生导师
    • 主要任职:Director and Founder, Key Laboratory for Intelligent Infrastructure and Monitoring of Fujian Province
    • 性别:男
    • 出生日期:1972-03-04
    • 毕业院校:Ibaraki University
    • 学历:博士研究生
    • 学位:工学博士学位
    • 入职时间:2016-08-01
    • 所在单位:土木工程学院土木工程系
    • 办公地点:College of Civil Engineering, Huaqiao University, Jimei Avenue 668, Xiamen, China
    • 电子邮箱:
    • 在职信息:在岗
    • 其他任职:Director and Founder, International Research Center for Safety and Sustainability of Civil Engineering
    • 职务:Director, Key Laboratory
    • 学科:土木工程
    • 2008当选:教育部“新世纪优秀人才支持计划”入选者
    • 2017当选:福建省“闽江学者奖励计划”特聘教授
    • 福建省引进高层次人才(海外B类)

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    Experimental assessment of high sampling-rate robotic total station for monitoring bridge dynamic responses

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    发表刊物:Measurement

    关键字:Measurement;Robotic total station;Dynamic response;Displacement;Accelerometer

    摘要:High sampling-rate robotic total stations (RTS) are emerging tools for monitoring both semi-static and dynamic displacement responses of bridge structures, due to rapid advancements in data sampling rates and tracking speeds. However, the dynamic measurement accuracy of the RTS needs to be fully assessed, especially for different sighting distances. To this end, groups of static and dynamic evaluating tests were carried out on university campuses, and a further in-situ performance assessment with RTS was performed for monitoring dynamic responses of a long suspension bridge in Changsha, China, with a central span of 328 m. A standardized procedure was developed to process these RTS measurements. The background noise in RTS measurements for sighting-distances varying from 25 m to 400 m only results in minor errors which mainly distribute in a frequency range of less than 0.1 Hz. The vibration displacements of an oscillating platform between the RTS and an accelerometer are compared in both horizontal and vertical directions to demonstrate the sufficient accuracy of the RTS measurements. The in-situ experiment also leads to a similar conclusion. This study confirms that the feasibility of using high sampling-rate RTS for monitoring dynamic responses of bridges. (C) 2017 Elsevier Ltd. All rights reserved.

    论文类型:期刊论文

    文献类型:J

    卷号:104

    页面范围:66-69

    是否译文:

    发表时间:2017-07-01

    收录刊物:SCI

    影响因子:5.131

    第一作者:余加勇

    合写作者:许斌

    通讯作者:朱平