Pipeline safety analysis method at geological hazard risk based on InSAR investigation

Lin Geng; Ning Shi; Shuiying Xu; Liang Liu; Tao Fang; He Huang; Qingmei Jiang

doi:10.1117/12.3029781

21 June 2024 Pipeline safety analysis method at geological hazard risk based on InSAR investigation

Lin Geng, Ning Shi, Shuiying Xu, Liang Liu, Tao Fang, He Huang, Qingmei Jiang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131671O (2024) https://doi.org/10.1117/12.3029781
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

The permanent ground displacement caused by geological disasters is the main reason that induces large additional axial stress in pipelines. A combination of radar satellite remote sensing surface displacement monitoring technology and pipe body deformation monitoring technology is proposed to analyze the interaction between pipe and soil. A surface displacement measurement method based on SBAS-InSAR is proposed, and the surface displacement monitoring of millimeter-level kilometer level pipeline is realized with high precision. The finite element model of pipeline stress analysis is established by using space pipe element and nonlinear pipe-soil element considering the actual pipeline routing and process loading conditions. Taking remote sensing landslide displacement as the exact boundary condition, a method for calculating pipeline stress in landslide section is presented. The practice shows that the maximum relative error between the pipeline stress results obtained by this method and the distributed strain gauge monitoring results is less than 20%, which can effectively realize the spatial reconstruction and safety evaluation of the stress state of the pipeline in the landslide section, and provide technical basis for the establishment of the digital twin of pipeline safety state in the future geological disaster section.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lin Geng, Ning Shi, Shuiying Xu, Liang Liu, Tao Fang, He Huang, and Qingmei Jiang "Pipeline safety analysis method at geological hazard risk based on InSAR investigation", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131671O (21 June 2024); https://doi.org/10.1117/12.3029781

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KEYWORDS

Remote sensing

Pipes

Satellites

Safety

Deformation

3D modeling

Satellite imaging

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