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Abstract

The effective monitoring of railway facilities is crucial for safety and operational efficiency. This study proposes an enhanced remote monitoring technique for railway facilities, specifically bridges, using satellite radar InSAR (Interferometric Synthetic Aperture Radar) technology. Previous studies faced limitations such as insufficient data points and challenges with topographical and structural variations. Our approach addresses these issues by analysing displacements from 30 images captured by the X-band SAR satellite, TerraSAR-X, over two years. We tested each InSAR parameter to develop an optimal set of parameters, applying the technique to a post-tensioned PSC (pre-stressed concrete) box bridge. Our findings revealed a recurring arch-shaped elevation along the bridge, attributed to temporal changes and long-term deformation. Further analysis showed a strong correlation between this deformation pattern and average surrounding temperature. This indicates that our technique can effectively identify micro-displacements due to temperature changes and structural deformation. Thus, the technique provides a theoretical foundation for improved SAR monitoring of large-scale social overhead capital (SOC) facilities, ensuring efficient maintenance and management.

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Title
Leveraging Multi-Temporal InSAR Technique for Long-Term Structural Behaviour Monitoring of High-Speed Railway Bridges
Author
Winter, Kim 1   VIAFID ORCID Logo  ; Lee, Changgil 2   VIAFID ORCID Logo  ; Byung-Kyu, Kim 2 ; Kim, Kihyun 3 ; Lee, Ilwha 2 

 School of Transportation System Engineering/Korea Railroad Research Institute Campus, University of Science and Technology, Uiwang-si 16105, Republic of Korea; [email protected] 
 Advanced Railroad Civil Engineering Division, Korea Railroad Research Institute, Uiwang-si 16105, Republic of Korea; [email protected] (C.L.); [email protected] (B.-K.K.) 
 Advanced Railroad Structural Engineering Division, Korea Railroad Research Institute, Uiwang-si 16105, Republic of Korea; [email protected] 
Publication title
Volume
16
Issue
17
First page
3153
Publication year
2024
Publication date
2024
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20724292
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-08-26
Milestone dates
2024-06-24 (Received); 2024-08-21 (Accepted)
Publication history
 
 
   First posting date
26 Aug 2024
ProQuest document ID
3104044017
Document URL
https://www.proquest.com/scholarly-journals/leveraging-multi-temporal-insar-technique-long/docview/3104044017/se-2?accountid=208611
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-29
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic