Numerical investigation of fibre optic sensing for sinkhole detection

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dc.contributor.author Della Ragione, Gianluigi
dc.contributor.author Bilotta, Emilio
dc.contributor.author Xu, Xiaomin
dc.contributor.author Da Silva Burke, Talia Simone
dc.contributor.author Moller, Tobias
dc.contributor.author Abadie, Christelle N.
dc.date.accessioned 2024-07-01T11:24:04Z
dc.date.available 2024-07-01T11:24:04Z
dc.date.issued 2024-11
dc.description.abstract This paper forms part of the SINEW(sinkhole early warning) project and continues the work conducted by Möller and co-workers in 2022, where 1g experiments demonstrated the feasibility of using distributed fibre-optic sensing (DFOS) for sinkhole early warning. Their experimental campaign highlighted an order of magnitude difference in the strain between the soil and the cable that remains unexplained and weakens confidence in the technology and/or the experimental method. This paper uses three-dimensional finite element analyses to examine further this discrepancy and the soil–cable interface. The results support the experimental findings and demonstrate that the DFOS signature strain profile is induced by the horizontal movement of the ground, and enhanced when sufficient coupling at the soil–cable interface is achieved. This result holds when modelling is scaled to realistic confining pressure, and its significance is twofold. First, this needs to be accounted for in the DFOS laying technique. Second, particles of cohesionless soils undergo relatively high horizontal displacement away from the centre of the sinkhole, and this means that DFOS cables are able to detect subsidence away from the centre of the sinkhole. The paper illustrates this result and the signature strain profile expected in this case. en_US
dc.description.department Civil Engineering en_US
dc.description.librarian am2024 en_US
dc.description.sdg SDG-09: Industry, innovation and infrastructure en_US
dc.description.sponsorship CSIC and Innovate UK. en_US
dc.description.uri https://www.icevirtuallibrary.com/toc/jgeot/current en_US
dc.identifier.citation Ragione, G.D., Bilotta, E., Xu, X. et al. 2024, 'Numerical investigation of fibre optic sensing for sinkhole detection', Géotechnique, vol. 74, no. 12, pp. 1329-1342. https://doi.org/10.1680/jgeot.22.00241. en_US
dc.identifier.issn 0016-8505 (print)
dc.identifier.issn 1751-7656 (online)
dc.identifier.other 10.1680/jgeot.22.00241
dc.identifier.uri http://hdl.handle.net/2263/96739
dc.language.iso en en_US
dc.publisher ICE Publishing en_US
dc.rights © ICE Publishing. en_US
dc.subject Computational geotechnics en_US
dc.subject Fibre-optic monitoring en_US
dc.subject Finite-element analysis en_US
dc.subject Geohazards en_US
dc.subject Ground movements en_US
dc.subject Sensors en_US
dc.subject Subsidence en_US
dc.subject SDG-09: Industry, innovation and infrastructure en_US
dc.subject Distributed fibre-optic sensing (DFOS) en_US
dc.title Numerical investigation of fibre optic sensing for sinkhole detection en_US
dc.type Article en_US


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