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Remote Structural Health Monitoring of Concrete Bridge Using InSAR : A Case Study

Lasri, Othmane ; Giordano, Pier Francesco and Limongelli, Maria Pina LU orcid (2023) 14th International Workshop on Structural Health Monitoring: Designing SHM for Sustainability, Maintainability, and Reliability, IWSHM 2023 In Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring p.2561-2568
Abstract

Structural Health Monitoring (SHM) provides real-time information about structural damage and its evolution over time, which supports decision-makers in managing structural integrity. However, traditional SHM systems, such as vibration-based systems with accelerometers, require laborious installation and maintenance of instrumentation, including sensors, cables, and acquisition systems directly installed on the monitored structure. Recently, remote sensing through active satellites, such as new Synthetic Aperture Radar (SAR) missions, offers a promising alternative for monitoring infrastructure assets. This paper explores the use of SAR Interferometry (InSAR) processing to monitor the health of bridges. The full interferometry... (More)

Structural Health Monitoring (SHM) provides real-time information about structural damage and its evolution over time, which supports decision-makers in managing structural integrity. However, traditional SHM systems, such as vibration-based systems with accelerometers, require laborious installation and maintenance of instrumentation, including sensors, cables, and acquisition systems directly installed on the monitored structure. Recently, remote sensing through active satellites, such as new Synthetic Aperture Radar (SAR) missions, offers a promising alternative for monitoring infrastructure assets. This paper explores the use of SAR Interferometry (InSAR) processing to monitor the health of bridges. The full interferometry processing chain is based on Sentinel-1 and CosmoSKYMED synthetic aperture radar data and a combination of open-source routines from the Sentinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS). The Permanent Scatterer Interferometry SAR (PS-InSAR) technique is used to derive displacement time histories. The applicability of this technique is evaluated on a concrete bridge located over the Oglio River in Isola Dovarese, Italy, which has GNSS receivers installed. To validate the methodology, PS-InSAR derived time histories are compared with GNSS-derived data, and both techniques are used to quantify bridge displacement rates from October 2020 to August 2022.

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publishing date
type
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publication status
published
subject
host publication
Structural Health Monitoring 2023 : Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring - Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring
series title
Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring
editor
Farhangdoust, Saman ; Guemes, Alfredo and Chang, Fu-Kuo
pages
8 pages
publisher
DEStech Publications
conference name
14th International Workshop on Structural Health Monitoring: Designing SHM for Sustainability, Maintainability, and Reliability, IWSHM 2023
conference location
Stanford, United States
conference dates
2023-09-12 - 2023-09-14
external identifiers
  • scopus:85182276159
ISBN
9781605956930
DOI
10.12783/shm2023/37027
language
English
LU publication?
yes
id
27dc82da-ccec-40a8-8ac1-6b838353b641
date added to LUP
2024-02-15 10:47:25
date last changed
2024-02-15 10:49:14
@inproceedings{27dc82da-ccec-40a8-8ac1-6b838353b641,
  abstract     = {{<p>Structural Health Monitoring (SHM) provides real-time information about structural damage and its evolution over time, which supports decision-makers in managing structural integrity. However, traditional SHM systems, such as vibration-based systems with accelerometers, require laborious installation and maintenance of instrumentation, including sensors, cables, and acquisition systems directly installed on the monitored structure. Recently, remote sensing through active satellites, such as new Synthetic Aperture Radar (SAR) missions, offers a promising alternative for monitoring infrastructure assets. This paper explores the use of SAR Interferometry (InSAR) processing to monitor the health of bridges. The full interferometry processing chain is based on Sentinel-1 and CosmoSKYMED synthetic aperture radar data and a combination of open-source routines from the Sentinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS). The Permanent Scatterer Interferometry SAR (PS-InSAR) technique is used to derive displacement time histories. The applicability of this technique is evaluated on a concrete bridge located over the Oglio River in Isola Dovarese, Italy, which has GNSS receivers installed. To validate the methodology, PS-InSAR derived time histories are compared with GNSS-derived data, and both techniques are used to quantify bridge displacement rates from October 2020 to August 2022.</p>}},
  author       = {{Lasri, Othmane and Giordano, Pier Francesco and Limongelli, Maria Pina}},
  booktitle    = {{Structural Health Monitoring 2023 : Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring}},
  editor       = {{Farhangdoust, Saman and Guemes, Alfredo and Chang, Fu-Kuo}},
  isbn         = {{9781605956930}},
  language     = {{eng}},
  pages        = {{2561--2568}},
  publisher    = {{DEStech Publications}},
  series       = {{Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring}},
  title        = {{Remote Structural Health Monitoring of Concrete Bridge Using InSAR : A Case Study}},
  url          = {{http://dx.doi.org/10.12783/shm2023/37027}},
  doi          = {{10.12783/shm2023/37027}},
  year         = {{2023}},
}