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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of ISRM International Symposium Eurock 2020 - Hard Rock Engineering, Trondheim, Norway, 14-19 June
Publication statusAccepted/In press - 21 Feb 2020
MoE publication typeA4 Article in a conference publication
EventISRM International Symposium - Clarion Hotel & Congress, Trondheim, Norway
Duration: 14 Jun 202019 Jun 2020
http://www.eurock2020.com/

Conference

ConferenceISRM International Symposium
Abbreviated titleEUROCK
CountryNorway
CityTrondheim
Period14/06/202019/06/2020
Internet address

Keywords

  • Digital photogrammetry
  • underground tunnel
  • rock mass characterization
  • point cloud
  • Virtual reality (VR)
  • Rock fracture

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  • Prizes

    Aalto University School of Engineering Award for Achievements in Teaching 2019

    Mateusz Janiszewski (Recipient) & Lauri Uotinen (Recipient), Jan 2020

    Prize: Award or honor granted for a specific work

  • Cite this

    Janiszewski, M., Uotinen, L., Baghbanan, A., & Rinne, M. (Accepted/In press). Digitisation of hard rock tunnel for remote fracture mapping and virtual training environment. In Proceedings of ISRM International Symposium Eurock 2020 - Hard Rock Engineering, Trondheim, Norway, 14-19 June