Analysis of Uneven Settlement of Long-Span Bridge Foundations Based on SBAS-InSAR

作     者：Zhang, Kaixuan Xiao, Weifo Zhu, Haojie Ning, Shaowei Huang, Shenjiang Jin, Dongxing Rong, A. Thapa, Bhesh Raj 

作者机构：Hefei Univ Technol Coll Civil Engn Hefei 230009 Peoples R China Pokhara Univ Universal Engn & Sci Coll Lalitpur 44700 Nepal Nepal Acad Sci & Technol Lalitpur 44700 Nepal 

出 版 物：《REMOTE SENSING》 (Remote Sens.)

年 卷 期：2025年第17卷第2期

页      面：248-248页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1002[医学-临床医学] 070801[理学-固体地球物理学] 07[理学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基　　金：National Training Program of Innovation and Entrepreneurship for Undergraduates National Natural Science Foundation of China Natural Science Foundation of Anhui Province [2208085US15] S202410359410 

主　　题：SBAS-InSAR uneven settlement bridge foundation deformation monitoring 

摘      要：Bridge foundation settlement monitoring is crucial for infrastructure safety management, as uneven settlement can lead to stress redistribution, structural damage, and potentially catastrophic collapse. While traditional contact sensors provide reliable measurements, their deployment is labor-intensive and costly, especially for long-span bridges. Current remote sensing methods have not been thoroughly evaluated for their capability to detect and analyze complex foundation settlement patterns in challenging environments with multiple influencing factors. Here, we applied Small Baseline Subsets Synthetic Aperture Radar Interferometry (SBAS-InSAR) technology to monitor foundation settlement of a long-span bridge. Our analysis revealed distinct deformation patterns: uplift in the north bank approach bridge foundation and the left-side main bridge foundation (maximum rate: 36.97 mm/year), concurrent with subsidence in the right-side main bridge foundation and south bank approach bridge foundation (maximum rate: 35.59 mm/year). We then investigated the relationship between these settlement patterns and various environmental factors, including geological conditions, Sediment Transport Index (STI), Topographic Wetness Index (TWI), precipitation, and temperature. The observed settlement patterns were attributed to the combined effects of stratigraphic heterogeneity, dynamic hydrological conditions, and seasonal climate variations. These findings demonstrate that SBAS-InSAR technology can effectively capture complex bridge foundation deformation processes, offering a cost-effective alternative to traditional monitoring methods. This advancement in bridge monitoring technology could enable more widespread and frequent assessment of bridge foundation stability, ultimately improving infrastructure safety management.