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.
H. Lin, F. Chen, L. Jiang, Q. Zhao, S. Cheng, Preliminary research on large-scale man-made linear features deformation monitoring using multi-baseline differential SAR interferometry, Geo Inf. Sci. 12 (5) (2010) 718-725.
L. Zhang, P. Liu, X. Yan, X. Zhao, Middle displacement monitoring of medium–small span bridges based on laser technology, Struct Control Hlth 27 (4) (2020) e2509.
X. Wang, Q. Zhao, R. Xi, C. Li, G. Li, L. Li, Review of bridge structural health monitoring based on GNSS: from displacement monitoring to dynamic characteristic identification, IEEE Access 9 (2021) 80043-80065.
Z. Chen, Record of qijiang rainbow bridge collapse, City Techn. Supervision 5 (1) (1999) 25 [in Chinese].
S. Zhu, D. Levinson, H. Liu, K. Harder, The traffic and behavioral effects of the I-35W Mississippi River bridge collapse, Transport. Res. Part A Policy Pract 44 (10) (2010) 771-784.
P. Milillo, G. Giardina, D. Perissin, G. Milillo, A. Coletta, C. Terranova, Pre-Collapse space geodetic observations of critical infrastructure: the morandi bridge, genoa, Italy, Rem. Sens. 11 (12) (2019) 1403.
S. Long, W. Liu, J. Ma, A. Tong, W. Wu, C. Zhu, Health monitoring and safety evaluation of bridge dynamic load with a ground-based real aperture radar, Surv Rev 54 (91) (2021) 172-186.
C. Wang, L. Zhou, J. Ma, A. Shi, X. Li, L. Liu, Z. Zhang, D. Zhang, GB-RAR deformation information estimation of high-speed railway bridge in consideration of the effects of colored noise, Appl Sci 24 (12) (2022) 10504.
A. Ferretti, C. Prati, F. Rocca, Permanent scatterers in SAR interferometry, IEEE Trans. Geosci. Rem. Sens. 39 (1) (2001) 8-20.
P. Castellazzi, J. Garfias, R. Martel, C. Brouerd, A. Rivera, InSAR to support sustainable urbanization over compacting aquifers: the case of Toluca Valley, Mexico, Int. J. Appl. Earth Obs. Geoinformation 63 (2017) 33-44.
R.F. Hanssen, Satellite radar interferometry for deformation monitoring: a priori assessment of feasibility and accuracy, Int. J. Appl. Earth Obs. Geoinf 6 (03–04) (2005) 0-260.
J. Xu, H. Jo, Development of high-sensitivity and low-cost electroluminescent strain sensor for structural health monitoring, IEEE Sensor. J. 16 (2016) 1962-1968.
M. Scaioni, M. Marsella, M. Crosetto, V. Tornatore, J. Wang, Geodetic and remote-sensing sensors for dam deformation monitoring, Sensors 18 (11) (2018) 3682.
Q. Wu, C. Jia, S. Chen, H. Li, SBAS-InSAR based deformation detection of urban land, created from mega-scale mountain excavating and valley filling in the loess plateau: the case study of yan’an city, Rem. Sens. 11 (14) (2019) 1673.
L. Tian, B. Pan, Remote bridge deflection measurement using an advanced video deflectometer and actively illuminated LED targets, Sensors 16 (9) (2016) 1344.
H. Zhang, B. Yang, S. Huang, Dynamic geometry monitoring system and its application in Sutong Bridge construction, Geo Spatial Inf Sci 13 (2) (2010) 137-143.
H. Lin, P. Ma, W. Wang, Urban infrastructure health monitoring with spaceborne multi-temporal synthetic aperture radar interferometry, Acta Geod. Cartogr. Sinica 46 (2017) 1421-1433.
Y. Zhao, L. Zhou, C. Wang, J. Li, J. Qin, H. Sheng, L. Huang, X. Li, Analysis of the spatial and temporal evolution of land subsidence in wuhan, China from 2017 to 2021, Rem. Sens. 14 (2022) 3142.
D. Cusson, K. Trischuk, D. Hébert, G. Hewus, M. Gara, P. Ghuman, Satellite-based InSAR monitoring of highway bridges: validation case study on the north channel bridge in ontario, Canada, Transp. Res. Rec. J. Transp. Res. Board 56 (2018) 76-86.
M. Lazecky, I. Hlavacova, M. Bakon, J.J. Sousa, D. Perissin, G. Patricio, Bridge displacements monitoring using space-borne X-Band SAR Interferometry, IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens. 10 (1) (2017) 205-210.
M. Lazecký, P. Rapant, D. Perissin, M. Bakoň, Deformations of highway over undermined ostrava-svinov area monitored by In-SAR using limited Set of SAR images, Procedia Technology 16 (2014) 414-421.
S. Xiong, C. Wang, X. Qin, B. Zhang, Q. Li, Time-series analysis on persistent scatter-interferometric synthetic aperture radar (PS-InSAR) derived displacements of the Hong Kong–zhuhai–Macao bridge (HZMB) from sentinel-1A observations, Rem. Sens. 13 (4) (2021) 546.
X. Qin, Q. Li, X. Ding, L. Xie, C. Wang, M. Liao, Lu Zhang, B. Zhang, S. Xiong, A structure knowledge-synthetic aperture radar interferometry integration method for high-precision deformation monitoring and risk identification of sea-crossing bridges, Int. J. Appl. Earth Obs. Geoinf. 103 (2021) 102476.
S. Selvakumaran, S. Plank, C. Geiß, C. Rossi, C. Middleton, Remote monitoring to predict bridge scour failure using Interferometric Synthetic Aperture Radar (InSAR) stacking techniques, Int. J. Appl. Earth Obs. Geoinf. 73 (2018) 463-470.
A. Hooper, P. Segall, H. Zebker, Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos, J. Geophys. Res. Solid Earth 112 (B7) (2007) 1-21.
J. Guo, C. Ying, Design of health monitoring system for Ganzhou Ganjiang river bridge on nanchang-ganzhou passenger-dedicated railway, World Bridges 48 (S1) (2020) 73-79 [in Chinese].
Y. Yang, A. Yan, Key technology of linear control of ballastless track construction on Ganjiang super major bridge, China Railw. 55 (11) (2019) 104-108+113 [in Chinese].
A. Pizarro, S. Manfreda, E. Tubaldi, Sci. Behind Scour Bridge Found.: A Rev. Water 12 (2) (2020) 374.
W. Gong, Z. Wang, G. Dai, X. Liu, Application and development of foundation of yangtze river bridge, Bridge Constr. 49 (6) (2019) 13-23 [in Chinese].