Smart Structures and Systems

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Grouting compactness monitoring of concrete-filled steel tube arch bridge model using piezoceramic-based transducers

  • Feng, Qian (Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration) ;
  • Kong, Qingzhao (Department of Mechanical Engineering, University of Houston) ;
  • Tan, Jie (Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration) ;
  • Song, Gangbing (Department of Mechanical Engineering, University of Houston)
  • Received : 2016.11.28
  • Accepted : 2017.04.06
  • Published : 2017.08.25
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Abstract

The load-carrying capacity and structural behavior of concrete-filled steel tube (CFST) structures is highly influenced by the grouting compactness in the steel tube. Due to the invisibility of the grout in the steel tube, monitoring of the grouting progress in such a structure is still a challenge. This paper develops an active sensing approach with combined piezoceramic-based smart aggregates (SA) and piezoceramic patches to monitor the grouting compactness of CFST bridge structure. A small-scale steel specimen was designed and fabricated to simulate CFST bridge structure in this research. Before casting, four SAs and two piezoceramic patches were installed in the pre-determined locations of the specimen. In the active sensing approach, selected SAs were utilized as actuators to generate designed stress waves, which were detected by other SAs or piezoceramic patch sensors. Since concrete functions as a wave conduit, the stress wave response can be only detected when the wave path between the actuator and the sensor is filled with concrete. For the sake of monitoring the grouting progress, the steel tube specimen was grouted in four stages, and each stage held three days for cement drying. Experimental results show that the received sensor signals in time domain clearly indicate the change of the signal amplitude before and after the wave path is filled with concrete. Further, a wavelet packet-based energy index matrix (WPEIM) was developed to compute signal energy of the received signals. The computed signal energies of the sensors shown in the WPEIM demonstrate the feasibility of the proposed method in the monitoring of the grouting progress.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, Institute of Seismology, China Earthquake Administration

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