Smart Structures and Systems

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Performance assessment of bridges using short-period structural health monitoring system: Sungsu bridge case study

  • Kaloop, Mosbeh R. (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Elsharawy, Mohamed (Civil and Construction Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University) ;
  • Abdelwahed, Basem (Structural Engineering Department, College of Engineering, Mansoura University) ;
  • Hu, Jong Wan (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Kim, Dongwook (Department of Civil and Environmental Engineering, Incheon National University)
  • Received : 2020.04.05
  • Accepted : 2020.07.06
  • Published : 2020.11.25
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Abstract

This study aims at reporting a systematic procedure for evaluating the static and dynamic structural performance of steel bridges based on a short-period structural health monitoring measurement. Sungsu bridge located in Korea is considered as a case study presenting the most recent tests carried out to examine the bridge condition. Short-period measurements of Structural Health Monitoring (SHM) system were used during the bridge testing phase. A novel symmetry index is introduced using statistical analyses of deflection and strain measurements. Frequency Domain Decomposition (FDD) is implemented to the strain measurements to estimate the bridge mode shapes and damping ratios. Furthermore, Markov Chain Monte Carlo (MCMC) is also implemented to examine the reliability of bridge performance while ambient design trucks are in static or moving at different speeds. Strain, displacement and acceleration were measured at selected locations on the bridge. The results show that the symmetry index can be an efficient and useful measure in assessing the steel bridge performance. The results from the used method reveal that the performance of the Sungsu bridge is safe under operational conditions.

Keywords

Acknowledgement

This work was supported by Post-Doctor Research Program in 2019 through the Incheon National University (INU), Incheon, South Korea.

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