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    李冬生

    • 教授     博士生导师   硕士生导师
    • 主要任职:建设工程学院副院长
    • 其他任职:建设工程学部副部长、智能结构系统研究所所长
    • 性别:男
    • 毕业院校:哈尔滨工业大学
    • 学位:博士
    • 所在单位:建设工程学院
    • 学科:结构工程. 桥梁与隧道工程
    • 办公地点:土木工程学院综合4号楼311研究室
    • 联系方式:lidongsheng@dlut.edu.cn
    • 电子邮箱:lidongsheng@dlut.edu.cn

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    Optimal sensor placement in health monitoring of suspension bridge

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    论文类型:期刊论文

    发表时间:2012-07-01

    发表刊物:SCIENCE CHINA-TECHNOLOGICAL SCIENCES

    收录刊物:SCIE、EI

    卷号:55

    期号:7

    页面范围:2039-2047

    ISSN号:1674-7321

    关键字:structural health monitoring; optimal sensor placement; fisher information matrix; modal assurance criterion

    摘要:Structural health monitoring (SHM) provides an effective approach to ensure the safety of structures. However, with the restriction of the cost of sensor system and data processing, only a small number of sensors could be available in the health monitoring system (HMS). In order to obtain the best identification of structural characteristics, optimal sensor placement (OSP) becomes an inevitable task in the design of HMS. This paper introduces the process for determining the OSP in HMS of a suspension bridge, in which four different OSP methods have been investigated, including the effective independence (EI) method, the effective independence driving-point residue (EFI-DPR) method, the minimized modal assurance criterion (minMAC) method and the principal subset selection-based extended EI (PSS-EI) method. Then, three criteria, which are modal assurance matrix (MAC), condition number (CN) of mode shape matrix and determinant of Fisher information matrix (FIM), were employed to evaluate the effect of the OSP methods respectively. The result showed that the PSS-EI method developed has the ability to guarantee the highest determinant of FIM, a relatively small off-diagonal term of MAC and agreeable CN, as well as the deployment of sensors in a uniform and symmetric fashion for the studied bridge. Finally, the scheme obtained by PSS-EI was adopted in the HMS.