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Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses

机译:使用无线智能传感器技术对斜拉桥进行结构健康监测:数据分析

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摘要

This paper analyses the data collected from the 2 Jindo Bridge, a cable-stayed bridge in Korea that is a structural health monitoring (SHM) international test bed for advanced wireless smart sensors network (WSSN) technology. The SHM system consists of a total of 70 wireless smart sensor nodes deployed underneath of the deck, on the pylons, and on the cables to capture the vibration of the bridge excited by traffic and environmental loadings. Analysis of the data is performed in both the time and frequency domains. Modal properties of the bridge are identified using the frequency domain decomposition and the stochastic subspace identification methods based on the output-only measurements, and the results are compared with those obtained from a detailed finite element model. Tension forces for the 10 instrumented stay cables are also estimated from the ambient acceleration data and compared both with those from the initial design and with those obtained during two previous regular inspections. The results of the data analyses demonstrate that the WSSN-based SHM system performs effectively for this cable-stayed bridge, giving direct access to the physical status of the bridge.
机译:本文分析了从韩国斜拉桥2 Jindo桥收集的数据,该桥是用于高级无线智能传感器网络(WSSN)技术的结构健康监测(SHM)国际测试平台。 SHM系统由总共70个无线智能传感器节点组成,这些传感器节点部署在甲板下方,塔架和电缆上,以捕获因交通和环境负荷而引起的桥梁振动。在时域和频域均执行数据分析。使用频域分解和基于仅输出的测量的随机子空间识别方法来识别桥梁的模态特性,并将结果与​​从详细的有限元模型获得的结果进行比较。还可以从环境加速度数据中估算10根仪表支撑索的拉力,并将其与初始设计的拉力以及之前两次常规检查中获得的拉力进行比较。数据分析的结果表明,基于WSSN的SHM系统对该斜拉桥有效地发挥了作用,可直接访问桥的物理状态。

著录项

  • 来源
    《Smart structures and systems》 |2010年第6期|P.461-480|共20页
  • 作者单位

    Department of Civil and Environmental Engineering, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue, Urbana, IL 61801, USA;

    rnDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue, Urbana, IL 61801, USA;

    rnDepartment of Civil and Environmental Engineering, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea;

    Department of Civil and Environmental Engineering, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea;

    Department of Civil and Environmental Engineering, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue, Urbana, IL 61801, USA;

    rnLong Span Bridge Research Team, Hyundai Instititue of Construction Technology, 102-4 Mabook-dong, Giheung-gu, Yongin, Gyounggi-do 449-716, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wireless smart sensor network; cable-stayed bridge; structural health monitoring; modal identifica-tion; cable tension estimation;

    机译:无线智能传感器网络;斜拉桥;结构健康监测;模态识别电缆张力估计;

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