Remote assessment of FRP bridge deck system using wireless sensors

Gen Miao Chen, George Morcous, Yong K. Cho, Jong Hoon Youn, Unsuk Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper introduces an on-going research effort for integrating a wireless monitoring system to evaluate the long-term structural behavior of honeycomb fiber reinforced polymer (FRP) sandwich panels for bridge deck systems. The effort includes developing analytical models for evaluating the structural behavior of the panels and experimentally investigating the practicality and reliability of using wireless sensor systems for health monitoring. In the analytical part, three finite element models and one simplified I-beam model are to predict the structural behaviors of FRP sandwich panels. In the experimental part, a wireless sensor system is applied to measure structural response of FRP panels under static loading. The results of the analytical and experimental models are compared to evaluate the applicability of the wireless sensor system and validate the results of the analytical models. Conclusions are drawn from two aspects: first, preferable modeling methods are recommended in conducting structural analysis; second, the reliability and accuracy of the wireless sensor system is assessed.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2007
StatePublished - 2007
EventHealth Monitoring of Structural and Biological Systems 2007 - San Diego, CA, United States
Duration: Mar 19 2007Mar 22 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceHealth Monitoring of Structural and Biological Systems 2007
Country/TerritoryUnited States
CitySan Diego, CA


  • FEM
  • FRP
  • Long-term performance
  • Sandwich panel
  • Structural behavior
  • Wireless sensors

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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