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Rock Mass Structural Characterization Through DFN–LiDAR–DOS Methodology

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Abstract

Underground projects require a realistic understanding of geological, structural and mechanical characteristics of the rock mass. This includes a comprehensive rock mass characterization, assessment to all existing site information and an accurate geological model. However, due to the lack of truly three-dimensional subsurface fracture geometry data, this reality is rendered difficult. Thus, the use of Discrete Fracture Networks (DFNs) arises as an interesting tool. DFN models are statistically generated from discontinuity features mapped in situ. These deterministic data can be obtained by employing various techniques, and more specifically with the use of laser scanning (i.e. Light Detection and Ranging—LiDAR). Complimentary discontinuity data can be obtained through fiber optic sensors coupled to tendon rock support elements, adding structural information from within the rock mass to the DFN model. This paper presents the methodology associated with the implementation of LiDAR data into DFN models for the purpose of application in underground projects and the use of optical sensors to capture three-dimensional loading of tendon support and, in turn, identify intersecting discontinuity planes. The Distributed Optical Strain Sensing technology is demonstrated through double shear laboratory tests, as well as through an in situ application to monitor rock mass movement during a tunnel excavation.

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Acknowledgements

The authors would like to thank the Natural Sciences and Engineering Council of Canada (NSERC), the Canadian Department of National Defence, Yield Point Inc., Geomechanica Inc. and The Royal Military College (RMC) Green Team.

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Authors and Affiliations

  1. Department of Civil Engineering, Royal Military College of Canada, Kingston, ON, K7K7B4, Canada

    Nicholas Vlachopoulos, Bradley Forbes & Carla Carrapatoso

  2. Department of Geological Sciences and Geological Engineering, Queen’s University, 36 Union Street, Kingston, ON, K7L 3N6, Canada

    Bradley Forbes

  3. Arup, 13 Fitzroy Street, London, W1T 4BQ, UK

    Ioannis Vazaios

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  1. Nicholas Vlachopoulos
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  2. Ioannis Vazaios
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Correspondence to Nicholas Vlachopoulos.

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Vlachopoulos, N., Vazaios, I., Forbes, B. et al. Rock Mass Structural Characterization Through DFN–LiDAR–DOS Methodology. Geotech Geol Eng 38, 6231–6244 (2020). https://doi.org/10.1007/s10706-020-01431-1

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