YU Longhao, DING Keliang, LIU Mingliang, LIU Yajie, LUO Qijie. Analysis of Bridge Health Status Based on TRACK[[J]. GNSS World of China, 2018, 43(3): 107-111. DOI: 10.13442/j.gnss.1008-9268.2018.03.019
Citation: YU Longhao, DING Keliang, LIU Mingliang, LIU Yajie, LUO Qijie. Analysis of Bridge Health Status Based on TRACK[[J]. GNSS World of China, 2018, 43(3): 107-111. DOI: 10.13442/j.gnss.1008-9268.2018.03.019

Analysis of Bridge Health Status Based on TRACK

  • Dynamic monitoring of bridges has always been the focus of research on the direction of engineering deformation monitoring. This paper simply introduces the TRACK module, and further expounds the principle of TRACK data processing and a bridge of experimental data. Using double differential dynamic positioning module TRACK of GAMIT/GLOBK10.61 in the measured data on the bridge of single epoch data postprocessing, we obtain time series of bridge vibration of bridge vehicle peak hours and night time. The time series of the bridge vibration is de-noising by the empirical mode decomposition method, and the effect of the vehicle on the health of the bridge is compared and analyzed, and the feasibility of the TRACK method for the bridge condition analysis is further verified.
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