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    冯新

    • 教授     博士生导师   硕士生导师
    • 任职 : 辽宁省工程防灾减灾重点实验室 主任
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:水利工程系
    • 电子邮箱:fengxin@dlut.edu.cn

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    Quantitative investigation in distributed sensing of structural defects with Brillouin optical time domain reflectometry

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    论文类型:期刊论文

    发表时间:2013-07-01

    发表刊物:JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

    收录刊物:SCIE、EI、Scopus

    卷号:24

    期号:10

    页面范围:1187-1196

    ISSN号:1045-389X

    关键字:Fiber optic sensors; Brillouin scattering; Brillouin optical time domain reflectometer; bridge; beams; structural health monitoring; defects; spatial resolution; hybrid; finite element model

    摘要:Distributed sensing offers great promise in structural health monitoring of bridges and other types of critical structures. Over the years, a number of different Brillouin scattering-based systems have been developed for distributed sensing, including sensors based on the Brillouin optical time domain reflectometer. This study pertains to the quantitative characterization of Brillouin optical time domain reflectometer-based sensors for monitoring of distributed strains and detection of defects. This study involved experiments involving a 15-m-long beam and simulated defects. In the experiments, the effect of strain localization at the defect sites was masked by the low spatial resolution of the Brillouin optical time domain reflectometer. The Brillouin optical time domain reflectometer-measured response was evaluated by numerical modeling of the beam. Computation of the flexural strains involved a hybrid approach in which the experimentally determined degraded stiffnesses of the defect zones were employed in the finite element model. Unlike the Brillouin optical time domain reflectometer-measured strains, finite element model analysis of the beam indicated formation of sharp peaks in the strain distributions at the locations of the defects. The effects of these measurement errors were numerically quantified by separating them from the influence of the spatial resolution errors.