Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors
This paper shows the results of the monitoring of the deformations of a tunnel, carried out using a distributed optical fiber strain sensor based on stimulated Brillouin scattering. The artificial tunnel of the national railway crosses the accumulation zone of an active landslide, the Varco d’Izzo e...
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MDPI AG
2021-10-01
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Online Access: | https://www.mdpi.com/1424-8220/21/21/7032 |
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author | Aldo Minardo Ester Catalano Agnese Coscetta Giovanni Zeni Caterina Di Maio Roberto Vassallo Luciano Picarelli Roberto Coviello Giuseppe Macchia Luigi Zeni |
author_facet | Aldo Minardo Ester Catalano Agnese Coscetta Giovanni Zeni Caterina Di Maio Roberto Vassallo Luciano Picarelli Roberto Coviello Giuseppe Macchia Luigi Zeni |
author_sort | Aldo Minardo |
collection | DOAJ |
description | This paper shows the results of the monitoring of the deformations of a tunnel, carried out using a distributed optical fiber strain sensor based on stimulated Brillouin scattering. The artificial tunnel of the national railway crosses the accumulation zone of an active landslide, the Varco d’Izzo earthflow, in the southern Italian Apennines. Severely damaged by the landslide movements, the tunnel was demolished and rebuilt in 1992 as a reinforced concrete box flanked by two deep sheet pile walls. In order to detect the onset of potentially dangerous strains of the tunnel structure and follow their time trend, the internal deformations of the tunnel are also monitored by a distributed fiber-optic strain sensor since 2016. The results of the monitoring activity show that the deformation profiles are characterized by strain peaks in correspondence of the structural joints. Furthermore, the elongation of the fiber strands crossing the joints is consistent with the data derived by other measurement systems. Experiments revealed an increase in the time rate of the fiber deformation in the first and last part of the monitoring period when the inclinometers of the area also recorded an acceleration in the landslide movements. |
first_indexed | 2024-03-10T05:52:56Z |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T05:52:56Z |
publishDate | 2021-10-01 |
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series | Sensors |
spelling | doaj.art-6e5615d52a9b49d59b26dbd88fb9e0bf2023-11-22T21:35:34ZengMDPI AGSensors1424-82202021-10-012121703210.3390/s21217032Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber SensorsAldo Minardo0Ester Catalano1Agnese Coscetta2Giovanni Zeni3Caterina Di Maio4Roberto Vassallo5Luciano Picarelli6Roberto Coviello7Giuseppe Macchia8Luigi Zeni9Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, ItalyDepartment of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, ItalyDepartment of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, ItalyInstitute for Electromagnetic Sensing of the Environment, Italian National Research Council, 80124 Naples, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalyDepartment of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, ItalyRete Ferroviaria Italiana (Ferrovie dello Stato Italiane Group), 70122 Bari, ItalyRete Ferroviaria Italiana (Ferrovie dello Stato Italiane Group), 70122 Bari, ItalyDepartment of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, ItalyThis paper shows the results of the monitoring of the deformations of a tunnel, carried out using a distributed optical fiber strain sensor based on stimulated Brillouin scattering. The artificial tunnel of the national railway crosses the accumulation zone of an active landslide, the Varco d’Izzo earthflow, in the southern Italian Apennines. Severely damaged by the landslide movements, the tunnel was demolished and rebuilt in 1992 as a reinforced concrete box flanked by two deep sheet pile walls. In order to detect the onset of potentially dangerous strains of the tunnel structure and follow their time trend, the internal deformations of the tunnel are also monitored by a distributed fiber-optic strain sensor since 2016. The results of the monitoring activity show that the deformation profiles are characterized by strain peaks in correspondence of the structural joints. Furthermore, the elongation of the fiber strands crossing the joints is consistent with the data derived by other measurement systems. Experiments revealed an increase in the time rate of the fiber deformation in the first and last part of the monitoring period when the inclinometers of the area also recorded an acceleration in the landslide movements.https://www.mdpi.com/1424-8220/21/21/7032optical fibersdistributed sensingremote monitoringearly warning systems |
spellingShingle | Aldo Minardo Ester Catalano Agnese Coscetta Giovanni Zeni Caterina Di Maio Roberto Vassallo Luciano Picarelli Roberto Coviello Giuseppe Macchia Luigi Zeni Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors Sensors optical fibers distributed sensing remote monitoring early warning systems |
title | Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors |
title_full | Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors |
title_fullStr | Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors |
title_full_unstemmed | Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors |
title_short | Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors |
title_sort | long term monitoring of a tunnel in a landslide prone area by brillouin based distributed optical fiber sensors |
topic | optical fibers distributed sensing remote monitoring early warning systems |
url | https://www.mdpi.com/1424-8220/21/21/7032 |
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