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

  • Cho S
  • Jo H
  • Jang S
 et al. 
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This paper analyses the data collected from the 2nd 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.

Author-supplied keywords

  • Acceleration
  • Access
  • Cable stayed bridge
  • Cables
  • Civil engineering
  • Communication
  • Component
  • Damage
  • Data management
  • Deployment
  • Distributed data processing
  • Energy harvesting
  • Finite element
  • Finite element model
  • Frequency
  • Frequency domain decomposition
  • Health
  • Health monitoring
  • Identification
  • Imote2
  • Jindo Bridge
  • Large-scale
  • Measurement
  • Modal analysis
  • Modal properties
  • Model
  • Monitoring
  • Network applications
  • Power Consumption
  • SHM
  • Sensor network
  • Sensor nodes
  • Sensor platform
  • Signal
  • Smart sensor
  • Smart sensor networks
  • South korea
  • Stability
  • Stochastic Subspace identification
  • Structural health
  • Subspace identification
  • Technology
  • Test-bed
  • ambient
  • analysis
  • applications
  • cable-stayed bridge
  • construction
  • damage detection
  • data processing
  • design
  • effective
  • engineering
  • full-scale
  • loading
  • modal
  • performance
  • platform
  • sensor networks
  • signal processing
  • smart sensors
  • software
  • structural health monitoring
  • test
  • traffic
  • vibration
  • wind
  • wireless
  • wireless smart sensor
  • wireless smart sensor network
  • wireless smart sensors

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  • Soojin Cho

  • Hongki Jo

  • S Jang

  • J Park

  • H J Jung

  • Chung-Bang Yun

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