Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors.

distributed sensing early warning systems optical fibers remote monitoring

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 Oct 2021
Historique:
received: 28 09 2021
revised: 20 10 2021
accepted: 21 10 2021
entrez: 13 11 2021
pubmed: 14 11 2021
medline: 17 11 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34770339
pii: s21217032
doi: 10.3390/s21217032
pmc: PMC8587103
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Education, Universities and Research
ID : project MITIGO, ARS01_00964

Références

Opt Lett. 2011 Nov 1;36(21):4275-7
pubmed: 22048389
Sensors (Basel). 2011;11(4):4152-87
pubmed: 22163842
ScientificWorldJournal. 2014;2014:652329
pubmed: 25133250
Sci Rep. 2017 Oct 31;7(1):14686
pubmed: 29089632

Auteurs

Aldo Minardo (A)

Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy.

Ester Catalano (E)

Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy.

Agnese Coscetta (A)

Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy.

Giovanni Zeni (G)

Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, 80124 Naples, Italy.

Caterina Di Maio (C)

School of Engineering, University of Basilicata, 85100 Potenza, Italy.

Roberto Vassallo (R)

School of Engineering, University of Basilicata, 85100 Potenza, Italy.

Luciano Picarelli (L)

Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy.

Roberto Coviello (R)

Rete Ferroviaria Italiana (Ferrovie dello Stato Italiane Group), 70122 Bari, Italy.

Giuseppe Macchia (G)

Rete Ferroviaria Italiana (Ferrovie dello Stato Italiane Group), 70122 Bari, Italy.

Luigi Zeni (L)

Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy.

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Classifications MeSH