Performance Assessment of Distributed Strain Sensing Techniques for Convergence Monitoring of Radioactive Waste Repository.

Brillouin scattering Rayleigh scattering Structural Health Monitoring convergence monitoring distributed optical fiber shape monitoring strain sensing cable

Journal

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

Informations de publication

Date de publication:
30 Dec 2022
Historique:
received: 28 11 2022
revised: 23 12 2022
accepted: 24 12 2022
entrez: 8 1 2023
pubmed: 9 1 2023
medline: 11 1 2023
Statut: epublish

Résumé

This paper presents the measurement methodology of diameter reduction monitoring of micro-tunnel structures used for radioactive waste storage based on distributed strain measurements along fiber optic sensors installed on the circumference. The whole measurement procedure is described: the calibration of the sensors for use in harsh environment (temperature and radioactivity), the measurement analysis technique, the performance assessment of different measurement systems on a surface mock-up and the in-situ validation on an underground structure. The performances of Brillouin and Rayleigh backscattering measurements are compared, as well as different fixation technologies. Distributed measurements are compared to alternative measurements: displacement sensors, Bragg grating extensometers and MEMS accelerometers. The distributed Rayleigh backscattering measurement performed on optical cables bonded to the surface of the structure appears to be the best solution for monitoring the convergence of micro-tunnels and offers comparable performance to alternative technologies tested on the surface demonstrator.

Identifiants

pubmed: 36616996
pii: s23010398
doi: 10.3390/s23010398
pmc: PMC9823909
pii:
doi:

Substances chimiques

Radioactive Waste 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union
ID : ITN-FINESSE, Horizon 2020 research and innovation program under Marie Skłodowska-Curie, GA No. 722509

Références

Opt Express. 2019 Jul 22;27(15):21608-21621
pubmed: 31510234
Sensors (Basel). 2020 Jan 27;20(3):
pubmed: 32012773
Sensors (Basel). 2021 Mar 05;21(5):
pubmed: 33807792

Auteurs

Arianna Piccolo (A)

French National Radioactive Waste Management Agency (Andra), 92298 Chatenay-Malabry, France.

Yann Lecieux (Y)

Laboratoire GeM UMR 6183, Nantes Université, 44000 Nantes, France.

Sylvie Lesoille (S)

French National Radioactive Waste Management Agency (Andra), 92298 Chatenay-Malabry, France.

Pierre Teixeira (P)

Département Instrumentation d'EGIS, 38180 Seyssins, France.

Johan Bertrand (J)

French National Radioactive Waste Management Agency (Andra), 92298 Chatenay-Malabry, France.

Dominique Leduc (D)

Laboratoire GeM UMR 6183, Nantes Université, 44000 Nantes, France.

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Classifications MeSH