Detailed Deformation of Continuous Box Girder Bridge Based on Ascending and Descending SAR Data

doi:10.12068/j.issn.1005-3026.2024.03.011

Abstract

Abstract:

An approach was presented for detailed deformation monitoring of bridges， by fusing ascending and descending synthetic aperture radar （SAR） data while considering deformation caused by temperature change （named as thermal deformation）. Firstly， taking a continuous box girder bridge as an example， the ascending and descending SAR datasets are analyzed based on small baseline subsets interferometric SAR （SBAS?InSAR） to extract line-of-sight （LOS） deformation. Then， thermal deformation model of the bridge is established based on least squares method to separate the periodic thermal deformation and long-term trending deformation. Finally， by combining the structural characteristics of the bridge， fusion of the ascending and descending data based on space-time interpolation and singular value decomposition is conducted， to extract the thermal deformation， the vertical and longitudinal trending deformation， and the deformation mechanism and causative factors of the bridge is analyzed. The results demonstrate that the proposed approach can extract accurate thermal deformation and three-dimensional deformation of the bridge， providing reliable methodological support for bridge health monitoring.

Key words: small baseline subsets, continuous box girder bridge, thermal deformation modeling, data fusion, three-dimensional deformation

CLC Number:

TP 722.6

Lian-huan WEI, Xiao-tian WANG, Meng AO, Xin LI. Detailed Deformation of Continuous Box Girder Bridge Based on Ascending and Descending SAR Data[J]. Journal of Northeastern University(Natural Science), 2024, 45(3): 391-400.

Figures/Tables 11

Fig.1 Structural drawing of the Xinlipu bridge（unit：m）

Table 1 Detailed parameters of the SAR datasets

传感器名称	轨道方向	航向角/（°）	成像模式	分辨率/m	入射角/（°）	影像数量	覆盖时段
TerraSAR-X	升轨	~348.7	条带模式	3×3	~23.98	30	20150825—20170606
COSMO-SkyMed	降轨	~11.0	条带模式	3×3	~23.5	29	20150327—20170402

Fig.2 Spatial coverage of the TerraSAR?X and COSMO?SkyMed datasets

Fig.3 Flow chart of the research method

Fig.4 SAR imaging geometry of the Xinlipu bridge

Fig.5 LOS deformation velocities of the Xinlipu bridge

Fig.6 Time‐series displacements and temperature change of several key points on the Xinlipu bridge

Fig.7 Temperature influence factors in LOS direction of the Xinlipu bridge

Fig.8 LOS trending deformation of the Xinlipu bridge after removal of thermal deformation

Fig.9 Longitudinal thermal deformation field of Xinlipu bridge

Fig.10 Accumulative deformation of the Xinlipu bridge in vertical direction and longitudinal direction

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