Improving the reliability of geotechnical design by incorporating realistic 3D DFN modeling

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Rock masses contain discontinuities at different scales, such as cracks, joints, shears and faults, forming discrete fracture networks (DFNs). The geometry of these fracture networks and the fracture surface conditions control the strength and deformation behaviour of rock masses and the geometry and interconnectivity of a DFN can influence groundwater flow and contaminant mobility. The motivation of this research program is to explore and test the application of innovative rule-based geostatistical methods in deriving improved realizations of site-specific DFN's that explicitly honour fracture network geometry and spatial characteristics. The engineering challenge is to advance the science of DFN modelling and to develop a robust software tool for engineers and geoscientists to conduct 3D DFN modelling more effectively and reliably. The objectives of the project are to: (1) develop improved algorithms, novel interface paradigms and novel workflows to allow geotechnical engineers to generate visually realistic and geologically plausible fracture networks; (2) investigate how rock engineering in fractured rock masses can be enhanced with the aid of better-characterized DFNs; (3) transfer knowledge to the industry by means of embedding algorithmic and methodological improvements in the MoFrac software tool and (ii) training of new HQP. The approach to be adopted is a combined application of experimental observation, field monitoring, and numerical modeling. The outcome of the research will contribute to the nuclear waste management organization and the mining industry in Canada to have an alternative tool to generate improved fracture network models at different scales (from sub-regional to tunnel scales). This has the distinct potential to advance DFN generation and materially improve the safety, productivity, and profitability of underground engineering projects.