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Deformation monitoring of long-span railway bridges based on SBAS-InSAR technology

Lv Zhoua,b,cXinyi Lia,b,cYuanjin Panb,d()Jun MaeCheng WangaAnping ShiaYukai Chena
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
Hubei LuoJia Laboratory, Wuhan 430079, China
Ecological Spatiotemporal Big Data Perception Service Laboratory, Guilin 541004, China
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China

Peer review under responsibility of Institute of Seismology, China Earthquake Administration.

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Abstract

The deformation monitoring of long-span railway bridges is significant to ensure the safety of human life and property. The interferometric synthetic aperture radar (InSAR) technology has the advantage of high accuracy in bridge deformation monitoring. This study monitored the deformation of the Ganjiang Super Bridge based on the small baseline subsets (SBAS) InSAR technology and Sentinel-1A data. We analyzed the deformation results combined with bridge structure, temperature, and riverbed sediment scouring. The results are as follows: (1) The Ganjiang Super Bridge area is stable overall, with deformation rates ranging from −15.6 mm/yr to 10.7 mm/yr (2) The settlement of the Ganjiang Super Bridge deck gradually increases from the bridge tower toward the main span, which conforms to the typical deformation pattern of a cable-stayed bridge. (3) The sediment scouring from the riverbed cause the serious settlement on the bridge's east side compared with that on the west side. (4) The bridge deformation negatively correlates with temperature, with a faster settlement at a higher temperature and a slow rebound trend at a lower temperature. The study findings can provide scientific data support for the health monitoring of long-span railway bridges.

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Geodesy and Geodynamics
Pages 122-132
Cite this article:
Zhou L, Li X, Pan Y, et al. Deformation monitoring of long-span railway bridges based on SBAS-InSAR technology. Geodesy and Geodynamics, 2024, 15(2): 122-132. https://doi.org/10.1016/j.geog.2023.07.005
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