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

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorJaniszewski, Mateuszen_US
dc.contributor.authorUotinen, Laurien_US
dc.contributor.authorBaghbanan, Alirezaen_US
dc.contributor.authorRinne, Mikaelen_US
dc.contributor.departmentDepartment of Civil Engineeringen
dc.contributor.editorLi, C.C.en_US
dc.contributor.editorØdegaard, H.en_US
dc.contributor.editorHøien, A.H.en_US
dc.contributor.editorMacias, J.en_US
dc.contributor.groupauthorMineral Based Materials and Mechanicsen
dc.date.accessioned2020-11-30T08:19:23Z
dc.date.available2020-11-30T08:19:23Z
dc.date.issued2020-11en_US
dc.description.abstractThe 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.description.versionPeer revieweden
dc.format.extent8
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationJaniszewski, 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.isbn978-82-8208-072-9
dc.identifier.otherPURE UUID: c7915c52-7095-4632-a6ad-c7a3e4655dd6en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/c7915c52-7095-4632-a6ad-c7a3e4655dd6en_US
dc.identifier.otherPURE LINK: https://www.onepetro.org/conference-paper/ISRM-EUROCK-2020-056en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85097604400&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/53137724/EUROCK2020_Janiszewski_et_al_final_manuscript.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/61801
dc.identifier.urnURN:NBN:fi:aalto-2020113020646
dc.language.isoenen
dc.relation.ispartofISRM International Symposiumen
dc.relation.ispartofseriesISRM International Symposium Eurock 2020 - Hard Rock Engineering, Trondheim, Norway, 14-19 Juneen
dc.rightsopenAccessen
dc.subject.keywordDigital photogrammetryen_US
dc.subject.keywordunderground tunnelen_US
dc.subject.keywordrock mass characterizationen_US
dc.subject.keywordpoint clouden_US
dc.subject.keywordVirtual reality (VR)en_US
dc.subject.keywordRock fractureen_US
dc.titleDigitisation of hard rock tunnel for remote fracture mapping and virtual training environmenten
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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