Smart Structures and Systems

테크노프레스 (Techno-Press)
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Wireless sensor network for decentralized damage detection of building structures

  • Park, Jong-Woong (Department of Civil and Environmental Engineering, KAIST) ;
  • Sim, Sung-Han (School of Urban and Environmental Engineering, UNIST) ;
  • Jung, Hyung-Jo (Department of Civil and Environmental Engineering, KAIST)
  • 투고 : 2012.11.01
  • 심사 : 2013.07.12
  • 발행 : 2013.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

The smart sensor technology has opened new horizons for assessing and monitoring structural health of civil infrastructure. Smart sensor's unique features such as onboard computation, wireless communication, and cost effectiveness can enable a dense network of sensors that is essential for accurate assessment of structural health in large-scale civil structures. While most research efforts to date have been focused on realizing wireless smart sensor networks (WSSN) on bridge structures, relatively less attention is paid to applying this technology to buildings. This paper presents a decentralized damage detection using the WSSN for building structures. An existing flexibility-based damage detection method is extended to be used in the decentralized computing environment offered by the WSSN and implemented on MEMSIC's Imote2 smart sensor platform. Numerical simulation and laboratory experiment are conducted to validate the WSSN for decentralized damage detection of building structures.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea

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  2. Simplified Derivation of a Damage Curve for Seismically Induced Beam Fractures in Steel Moment-Resisting Frames vol.142, pp.6, 2016, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001473
  3. Decentralized System Identification Using Stochastic Subspace Identification for Wireless Sensor Networks vol.15, pp.12, 2015, https://doi.org/10.3390/s150408131
  4. Dynamic displacements-based model updating with motion capture system vol.24, pp.4, 2017, https://doi.org/10.1002/stc.1904
  5. Fast Warning Method for Rigid Hangers in a High-Speed Railway Arch Bridge Using Long-Term Monitoring Data vol.31, pp.6, 2017, https://doi.org/10.1061/(ASCE)CF.1943-5509.0001097
  6. A two-stage and two-step algorithm for the identification of structural damage and unknown excitations: numerical and experimental studies vol.15, pp.1, 2015, https://doi.org/10.12989/sss.2015.15.1.057