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

被引:2
|
作者
Zhou, Lv [1 ,2 ,3 ]
Li, Xinyi [1 ,2 ,3 ]
Pan, Yuanjin [2 ,4 ]
Ma, Jun [5 ]
Wang, Cheng [1 ]
Shi, Anping [1 ]
Chen, Yukai [1 ]
机构
[1] Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin 541004, Peoples R China
[2] Hubei Luojia Lab, Wuhan 430079, Peoples R China
[3] Ecol Spatiotemporal Big Data Percept Serv Lab, Guilin 541004, Peoples R China
[4] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China
[5] China Railway Siyuan Survey & Design Grp Co Ltd, Wuhan 430063, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
SBAS-InSAR; Long-span railway bridge; Deformation monitoring; Bridge structure; Time series deformation; HIGHWAY;
D O I
10.1016/j.geog.2023.07.005
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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. (c) 2023 Editorial office of Geodesy and Geodynamics. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:122 / 132
页数:11
相关论文
共 50 条
  • [21] Detection and Monitoring of Potential Geological Disaster Using SBAS-InSAR Technology
    Wei Niu
    Xiaonong Hu
    Bo Lin
    Fanqi Meng
    Yong Zhang
    Jin Zhao
    KSCE Journal of Civil Engineering, 2023, 27 : 4884 - 4896
  • [22] SURFACE SUBSIDENCE MONITORING IN GANZHOU AREA BASED ON SBAS-INSAR
    Li, Xinyi
    Zhou, Lv
    Ma, Jun
    Zhu, Zilin
    Li, Xin
    Huang, Ling
    XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 43-B3 : 293 - 299
  • [23] Sequential Estimation of Dynamic Deformation Parameters for SBAS-InSAR
    Wang, Baohang
    Zhao, Chaoying
    Zhang, Qin
    Lu, Zhong
    Li, Zhenhong
    Liu, Yuanyuan
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 17 (06) : 1017 - 1021
  • [24] Health monitoring and assessment of long-span bridges
    University of Illinois at Chicago, Chicago, United States
    et al.; IASCM; Japan Society for the Promotion of Science (JSPS); NSERC; The National Natural Science Foundation of China (NSFC); The National Science Foundation (NSF), 1600, 121-129 (2006):
  • [25] Health monitoring and assessment of long-span bridges
    Wang, M. L.
    STRUCTURAL HEALTH MONITORING AND INTELLIGENT INFRASTRUCTURE, VOLS 1 AND 2, 2006, : 121 - 129
  • [26] Monitoring and Analysis of Ground Surface Settlement in Mining Clusters by SBAS-InSAR Technology
    Wang, Huini
    Li, Kanglun
    Zhang, Jun
    Hong, Liang
    Chi, Hong
    SENSORS, 2022, 22 (10)
  • [27] An investigation of Earth surface deformation by SBAS-InSAR analysis
    Bidgoli, Reza Dehghani
    Esfahan, Ehsan Zandi
    Pirasteh-Anosheh, Hadi
    RENDICONTI LINCEI-SCIENZE FISICHE E NATURALI, 2024, 35 (1) : 213 - 221
  • [28] Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology
    YU Haihua
    CAI Guolin
    GAN Quan
    SHEN Dong
    Earthquake Research Advances, 2020, 34 (04) : 510 - 522
  • [29] An investigation of Earth surface deformation by SBAS-InSAR analysis
    Reza Dehghani Bidgoli
    Ehsan Zandi Esfahan
    Hadi Pirasteh-Anosheh
    Rendiconti Lincei. Scienze Fisiche e Naturali, 2024, 35 : 213 - 221
  • [30] MONITORING LAND DEFORMATION DUE TO GROUND WATER EXPLOITATION AND RECHARGE WITH SBAS-INSAR TECHNIQUE
    Lu, Yan-yan
    Chen, De-liang
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (01): : 368 - 379