Smart Structures and Systems

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Damage monitoring of variable cross-section region in a column-drilled shaft assembly using smart aggregates

  • Tan, Jie (Hubei Key Laboratory of Earthquake Early Warning, Institute of Seismology) ;
  • Masud, Mahadi (Department of Civil and Environmental Engineering, University of Houston) ;
  • Qin, Xiaoming (Disaster Mitigation for Structure, College of Civil Engineering, Tongji University) ;
  • Yuan, Cheng (Disaster Mitigation for Structure, College of Civil Engineering, Tongji University) ;
  • Kong, Qingzhao (Disaster Mitigation for Structure, College of Civil Engineering, Tongji University) ;
  • Mo, Y.L. (Department of Civil and Environmental Engineering, University of Houston)
  • Received : 2020.10.16
  • Accepted : 2021.05.07
  • Published : 2021.11.25
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Abstract

Pier column, as the most critical load-bearing member of bridge, can bear multiple loads including axial forces, shear forces, bending moments, etc. The varied cross section at the column interface and bearing platform or drilled shaft leads to harmful stress concentration that can potentially compromise the structural integrity. In order to improve the ductility of bridge structure, a pier column is often designed with a variable cross-section region to dissipate energy through plastic deformation. For better understanding the health condition of pier column in its service life, it is of great significance to obtain the damage severity information in the variable cross-section region. This study utilizes an active sensing method enabled by distributed Lead Zirconate Titanate (PZT)-based Smart Aggregate (SA) sensors to monitor the damage initiation and development near the bottom of a pier column. Crack damage in variable cross-section region functions as a stress relief that attenuates propagating stress wave energy between SA pairs. Both the numerical and experimental results show that the reduction ratio of the stress wave energy is consistent with the crack development, thus validating the reliability of the investigated approach. SA-based technology can be used as a potential tool to provide early warning of damage in variable cross-section region of bridge structures.

Keywords

Acknowledgement

The research described in this paper was supported by the Texas Department of Transportation (Award number 0-6914), U.S., National Natural Science Foundation of China (Grant number 51978507; 52020105005), Science and Technology Commission of Shanghai Municipality (Grant number 19DZ1201200).

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