Xinyi Li , Lv Zhou , Jun Ma , Cheng Wang , Yuanjin Pan , Yukai Chen , Di Zhang , Meilin He
{"title":"卫星/地基InSAR与北斗联合监测大跨度铁路桥梁多尺度变形特征","authors":"Xinyi Li , Lv Zhou , Jun Ma , Cheng Wang , Yuanjin Pan , Yukai Chen , Di Zhang , Meilin He","doi":"10.1016/j.measurement.2025.118199","DOIUrl":null,"url":null,"abstract":"<div><div>Combining various monitoring technologies for deformation monitoring of large-span railway bridge helps to gain a comprehensive understanding of the bridge’s dynamic characteristics and deformation characteristics. This paper proposes a joint satellite/ground-based InSAR (Interferometric Synthetic Aperture Radar) and BDS (Beidou Navigation Satellite System) method for the deformation monitoring and analysis of large-span railway bridges. Initially, the satellite-based InSAR is employed to conduct large-scale and long-term deformation monitoring of the Ganjiang Super Bridge. Time series deformation is then analyzed using ESMD (extreme-point symmetric mode decomposition). Following that, ground-based radar interferometry and BDS are employed for small-scale and high-frequency deformation monitoring of critical structural points on the bridge. Lastly, time series deformation and spectral analysis are used to summarize the dynamic characteristics of the bridge. The following conclusions are obtained based on the study: (1) From June 2021 to August 2023, InSAR monitoring results indicated relatively substantial subsidence on the bridge east side, likely due to sediment accumulation; ESMD deformation decomposition revealed a 160-day deformation periodicity and multiple mutations. (2) By comparing the deformation of adjacent points using ground radar interferometry and BDS, it is found that the deformation trends in their monitoring results are relatively similar; both methods excellently capture significant deformation data. (3) BDS monitoring results are related to bridge structural components and force transmission direction; ground-based radar interferometry results are influenced by the bridge structure and external forces; the natural frequency of the Ganjiang Super Bridge is 0.54 Hz.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118199"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-scale deformation monitoring and characterization of large-span railway bridge by joint satellite/ground-based InSAR and BDS\",\"authors\":\"Xinyi Li , Lv Zhou , Jun Ma , Cheng Wang , Yuanjin Pan , Yukai Chen , Di Zhang , Meilin He\",\"doi\":\"10.1016/j.measurement.2025.118199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Combining various monitoring technologies for deformation monitoring of large-span railway bridge helps to gain a comprehensive understanding of the bridge’s dynamic characteristics and deformation characteristics. This paper proposes a joint satellite/ground-based InSAR (Interferometric Synthetic Aperture Radar) and BDS (Beidou Navigation Satellite System) method for the deformation monitoring and analysis of large-span railway bridges. Initially, the satellite-based InSAR is employed to conduct large-scale and long-term deformation monitoring of the Ganjiang Super Bridge. Time series deformation is then analyzed using ESMD (extreme-point symmetric mode decomposition). Following that, ground-based radar interferometry and BDS are employed for small-scale and high-frequency deformation monitoring of critical structural points on the bridge. Lastly, time series deformation and spectral analysis are used to summarize the dynamic characteristics of the bridge. The following conclusions are obtained based on the study: (1) From June 2021 to August 2023, InSAR monitoring results indicated relatively substantial subsidence on the bridge east side, likely due to sediment accumulation; ESMD deformation decomposition revealed a 160-day deformation periodicity and multiple mutations. (2) By comparing the deformation of adjacent points using ground radar interferometry and BDS, it is found that the deformation trends in their monitoring results are relatively similar; both methods excellently capture significant deformation data. (3) BDS monitoring results are related to bridge structural components and force transmission direction; ground-based radar interferometry results are influenced by the bridge structure and external forces; the natural frequency of the Ganjiang Super Bridge is 0.54 Hz.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"256 \",\"pages\":\"Article 118199\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125015581\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125015581","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Multi-scale deformation monitoring and characterization of large-span railway bridge by joint satellite/ground-based InSAR and BDS
Combining various monitoring technologies for deformation monitoring of large-span railway bridge helps to gain a comprehensive understanding of the bridge’s dynamic characteristics and deformation characteristics. This paper proposes a joint satellite/ground-based InSAR (Interferometric Synthetic Aperture Radar) and BDS (Beidou Navigation Satellite System) method for the deformation monitoring and analysis of large-span railway bridges. Initially, the satellite-based InSAR is employed to conduct large-scale and long-term deformation monitoring of the Ganjiang Super Bridge. Time series deformation is then analyzed using ESMD (extreme-point symmetric mode decomposition). Following that, ground-based radar interferometry and BDS are employed for small-scale and high-frequency deformation monitoring of critical structural points on the bridge. Lastly, time series deformation and spectral analysis are used to summarize the dynamic characteristics of the bridge. The following conclusions are obtained based on the study: (1) From June 2021 to August 2023, InSAR monitoring results indicated relatively substantial subsidence on the bridge east side, likely due to sediment accumulation; ESMD deformation decomposition revealed a 160-day deformation periodicity and multiple mutations. (2) By comparing the deformation of adjacent points using ground radar interferometry and BDS, it is found that the deformation trends in their monitoring results are relatively similar; both methods excellently capture significant deformation data. (3) BDS monitoring results are related to bridge structural components and force transmission direction; ground-based radar interferometry results are influenced by the bridge structure and external forces; the natural frequency of the Ganjiang Super Bridge is 0.54 Hz.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.