University of Illinois Urbana-Champaign

Multi-scale structural health monitoring using wireless smart sensors

Jo, Hongki

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Hongki_Jo.pdf

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https://hdl.handle.net/2142/45556

Description

Title
Multi-scale structural health monitoring using wireless smart sensors
Author(s)
Jo, Hongki
Issue Date
2013-08-22T16:47:40Z
Director of Research (if dissertation) or Advisor (if thesis)
Spencer, Billie F., Jr.
Doctoral Committee Chair(s)
Agha, Gul A.
Committee Member(s)
  • Spencer, Billie F., Jr.
  • Fahnestock, Larry A.
  • Work, Daniel B.
  • Downing, Stephen D.
Department of Study
Civil & Environmental Eng
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2013-08-22T16:47:40Z
Keyword(s)
  • Smart Sensor
  • Wireless Sensor
  • Structural Health Monitoring
  • Multi-metric sensing
  • Multi-scale monitoring
Abstract
Tremendous progress has been made in recent years in the wireless smart sensor (WSS) technology to monitor civil infrastructures, shifting focus away from traditional wired methods. Successful implementations of such WSS networks for full-scale SHM have demonstrated the feasible use of the technology. Much of the previous research and application efforts have been directed toward single-metric applications. Multi-metric monitoring, in combination with physics-based models, has great potential to enhance SHM methods; however, the efficacy of the multi-metric SHM has not been illustrated using WSS networks to date, due primarily to limited hardware capabilities of currently available smart sensors and lack of effective algorithms. This research seeks to develop multi-scale WSSN strategies for advanced SHM in cost effective manner by considering: (1) the development of hybrid SHM method, which combine numerical modeling and multi-metric physical monitoring, (2) multi-metric and high-sensitivity hardware developments for use in WSSNs, (3) network software developments for robust WSSN, (4) algorithms development to better utilize the outcomes from SHM system, and (5) full-scale experimental validation of proposed research. The completion of this research will result in an advanced multi-scale WSS framework to provide innovate ways civil infrastructure is monitored.
Graduation Semester
2013-08
Permalink
http://hdl.handle.net/2142/45556
Copyright and License Information
Copyright 2013 Hongki Jo

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