Research on Temperature Deformation Monitoring of Long-span Bridges Based on InSAR Technology

被引：0
|
作者：
Zhou Y. [1 ,2 ]
Wei J. [1 ]
Li J. [3 ]
Hao G. [1 ]
Zheng J. [1 ]
Zhu Z. [1 ]
机构：
[1] College of Civil Engineering, Hunan University, Changsha
[2] Key Laboratory for Damage Diagnosis of Engineering Structures of Hunan Province（Hunan University）, Changsha
[3] China Construction Third Bureau First Engineering Co. ，Ltd, Wuhan
来源：
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2024年 / 51卷 / 03期
基金：
中国国家自然科学基金;
关键词：
finite element method; long-span bridge structures; persistent scatterer interferometric synthetic aperture radar; structural health monitoring; temperature deformation monitoring;
D O I：
10.16339/j.cnki.hdxbzkb.2024026
中图分类号：
学科分类号：
摘要：
Structural health monitoring is an effective means to ensure the safe operation and maintenance of bridges and optimize the life cycle cost of bridges. Persistent Scatterer Interferometric Synthetic Aperture Radar（PS-InSAR）technology based on spaceborne synthetic aperture radar can realize long-term structural health monitoring of bridges with low cost，light weight and sustainability. In this paper，a high-speed railway steel arch bridge in China is taken as the research object，and 59 C-band Sentinel-1 radar satellite images from 2017 to 2018 are selected. The PS-InSAR technology is used to process the images to obtain the line of sight（LOS）displacement of the bridge，and the longitudinal displacement of the bearing is calculated according to the spatial geometric relationship of SAR imaging. The results show that the spatial and temporal characteristics of the longitudinal displacement of the bearing are consistent with the actual bridge structure，which verifies the feasibility of PS-InSAR technology to observe the displacement of the bridge structure. A linear correlation model between the longitudinal displacement of the bearing and the temperature is established and compared with the measured results of the structural health monitoring system. The two are in good agreement，and the relative error is close to 10 %，which verifies the reliability of PS-InSAR measurement of the bridge structure displacement. The displacement of the bridge bearing under the action of temperature is simulated by finite element method，and compared with the PS-InSAR displacement time series. The two trends are basically the same，and the LOS displacement error is within ［-10，10］mm，which verifies the accuracy of PS-InSAR measurement of bridge structure displacement. © 2024 Hunan University. All rights reserved.
引用
收藏
页码：39 / 50
页数：11
相关论文
共 29 条
  • [1] DENG L, YAN W C，, NIE L．, A simple corrosion fatigue design method for bridges considering the coupled corrosion-overloading effect ［J］, Engineering Structures, 178, pp. 309-317, (2019)
  • [2] PENG J X，, HU S W, ZHANG J R．, Corrosion-induced crack performance prediction of RC bridge under chloride attack considering effect of global warming, Engineering Mechanics, 30, 8, pp. 103-110, (2013)
  • [3] HUANG S N, LU X Z, ZHENG J C, Overload-induced progressive collapse simulation for a reinforced concrete arch bridge, Engineering Mechanics, 29, pp. 122-127, (2012)
  • [4] LI C H, YANG L B，, FU Z H, Forensic analysis of the Wuxi 312 Viaduct overturning collapse［J］, Engineering Mechanics, 38, 9, pp. 203-211, (2021)
  • [5] ZHANG Y M．, Multi-source data prediction method for health monitoring of long-span bridge structure and its application, (2021)
  • [6] DENG Y K, ZHANG H, Forthcoming spaceborne SAR development［J］, Journal of Radars, 9, 1, pp. 1-33, (2020)
  • [7] FERRETTI A, PRATI C, ROCCA F．, Permanent scatterers in SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, 39, 1, pp. 8-20, (2001)
  • [8] HE L M, WU L X, Analysis of surface movement characteristics before landslide in mining area based on time series InSAR［J］, Journal of Northeastern University （Natural Science）, 43, 9, pp. 1314-1321, (2022)
  • [9] HAN B Q, LIU Z J，, CHEN B, Coseismic deformation and slip distribution of the 2022 Luding MW 6.6 earthquake revealed by InSAR observations［J］, Geomatics and Information Science of Wuhan University, 48, 1, pp. 36-46, (2023)
  • [10] CHEN Y, YU S W，, TAO Q X, Accuracy verification and correction of D-InSAR and SBAS-InSAR in monitoring mining surface subsidence, Remote Sensing, 13, 21, (2021)
123