Neural network based inspection of voids and karst conduits in hydro–electric power station tunnels using GPR

dc.contributor.author Gokhan Kilic
dc.contributor.author Levent Eren
dc.date.accessioned 2025-10-06T17:51:43Z
dc.date.issued 2018
dc.description.abstract This paper reports on the fundamental role played by Ground Penetrating Radar (GPR) alongside advanced processing and presentation methods during the tunnel boring project at a Dam and Hydro–Electric Power Station. It identifies from collected GPR data such issues as incomplete grouting and the presence of karst conduits and voids and provides full details of the procedures adopted. In particular the application of collected GPR data to the Neural Network (NN) method is discussed. © 2023 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.jappgeo.2018.02.026
dc.identifier.issn 09269851
dc.identifier.issn 0926-9851
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042944979&doi=10.1016%2Fj.jappgeo.2018.02.026&partnerID=40&md5=ddd76dcfd1fefbeb775eb4deb24c2643
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9570
dc.language.iso English
dc.publisher Elsevier B.V.
dc.relation.ispartof Journal of Applied Geophysics
dc.source Journal of Applied Geophysics
dc.subject Gpr, Karst Conduits, Ndt, Neural Network, Tbm, Geological Surveys, Ground Penetrating Radar Systems, Landforms, Ground Penetrating Radar, It Identify, Karst Conduit, Karst Voids, Network-based, Neural Network Method, Neural-networks, Radar Data, Tbm, Tunnel Boring, Nondestructive Examination, Artificial Neural Network, Dam, Ground Penetrating Radar, Hydroelectric Power Plant, Karst, Tunnel, Void
dc.subject Geological surveys, Ground penetrating radar systems, Landforms, Ground Penetrating Radar, IT Identify, Karst conduit, Karst voids, Network-based, Neural network method, Neural-networks, Radar data, TBM, Tunnel boring, Nondestructive examination, artificial neural network, dam, ground penetrating radar, hydroelectric power plant, karst, tunnel, void
dc.title Neural network based inspection of voids and karst conduits in hydro–electric power station tunnels using GPR
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gdc.description.endpage 204
gdc.description.startpage 194
gdc.description.volume 151
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oaire.citation.endPage 204
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person.identifier.scopus-author-id Kilic- Gokhan (40761843000), Eren- Levent (6603027663)
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