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Digitisation of hard rock tunnel for remote fracture mapping and virtual training environment

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Janiszewski, Mateusz
dc.contributor.author Uotinen, Lauri
dc.contributor.author Baghbanan, Alireza
dc.contributor.author Rinne, Mikael
dc.contributor.editor Li, C.C.
dc.contributor.editor Ødegaard, H.
dc.contributor.editor Høien, A.H.
dc.contributor.editor Macias, J.
dc.date.accessioned 2020-11-30T08:19:23Z
dc.date.available 2020-11-30T08:19:23Z
dc.date.issued 2020-11
dc.identifier.citation Janiszewski , M , Uotinen , L , Baghbanan , A & Rinne , M 2020 , Digitisation of hard rock tunnel for remote fracture mapping and virtual training environment . in C C Li , H Ødegaard , A H Høien & J Macias (eds) , ISRM International Symposium - EUROCK 2020 : International Society for Rock Mechanics and Rock Engineering Norwegian Group for Rock Mechanics . Norsk Betongforening , ISRM International Symposium , Trondheim , Norway , 14/06/2020 . en
dc.identifier.isbn 978-82-8208-072-9
dc.identifier.other PURE UUID: c7915c52-7095-4632-a6ad-c7a3e4655dd6
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/digitisation-of-hard-rock-tunnel-for-remote-fracture-mapping-and-virtual-training-environment(c7915c52-7095-4632-a6ad-c7a3e4655dd6).html
dc.identifier.other PURE LINK: https://www.onepetro.org/conference-paper/ISRM-EUROCK-2020-056
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85097604400&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/53137724/EUROCK2020_Janiszewski_et_al_final_manuscript.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/61801
dc.description.abstract The knowledge of geometrical properties of discontinuities is of crucial importance in the rock mass characterisation process. Recent advances in photogrammetry allow for an easy digitisation procedure of rock surfaces so that digital 3D models can be used for remote site characterisation. This paper presents a methodology to digitise tunnel rock surfaces using Structure from Motion digital photogrammetry for remote measurements of discontinuities. The proposed method is applied on a 12 m long and 4 m high tunnel section of an underground research tunnel at Aalto University in Finland, which is scanned using Canon 5Ds R DSLR camera and Canon 14 mm f/2.8 and 35 mm f/1.4 lenses. The photos are then processed in commercially available photogrammetric software – RealityCapture. As a result, a high-resolution 3D point cloud of the tunnel wall is produced. The point cloud is used for semi-automatic measurements of fracture orientations. In addition, a digital twin of the tunnel section with photorealistic surface texture is created and implemented into virtual reality (VR) system – Virtual Underground Training Environment (VUTE) developed for training of rock mass characterisation. The VUTE system enables remote visual inspection of the rock surface and virtual measurements of the orientation of discontinuities with designated virtual tools. The semi-automatic measurements extracted from the 3D point cloud using a discontinuity extractor software are compared with measurements performed in VR as well as with manual measurements performed in the tunnel. The results demonstrate that all three mapping methods identify three major joint sets with analogous orientations. The automatic fracture mapping method achieves the highest density of the measurements, allows repeatability, and enables other parameters to be extracted automatically, such as persistence and spacing of the discontinuities. This confirms the advantage of automatic analysis of discontinuities on 3D point clouds of tunnel rock surface digitised using photogrammetry. en
dc.format.extent 8
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof ISRM International Symposium en
dc.relation.ispartofseries ISRM International Symposium Eurock 2020 - Hard Rock Engineering, Trondheim, Norway, 14-19 June en
dc.rights openAccess en
dc.subject.other 1171 Geosciences en
dc.title Digitisation of hard rock tunnel for remote fracture mapping and virtual training environment en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Mineral Based Materials and Mechanics
dc.contributor.department Isfahan University of Technology
dc.contributor.department Department of Civil Engineering en
dc.subject.keyword Digital photogrammetry
dc.subject.keyword underground tunnel
dc.subject.keyword rock mass characterization
dc.subject.keyword point cloud
dc.subject.keyword Virtual reality (VR)
dc.subject.keyword Rock fracture
dc.subject.keyword 1171 Geosciences
dc.identifier.urn URN:NBN:fi:aalto-2020113020646
dc.type.version acceptedVersion


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