Abstract
In this study the authors present an approach of establishing and validating discrete fracture networks (DFNs) for underground projects using LiDAR (Light Detection and Ranging) as the source data. With the use of LiDAR in geotechnical and geological engineering becoming increasingly popular, it is necessary to establish the interactive application of this technology with other tools. Such a tool is the generation of DFNs and their integration into the geomechanical design, with a specific focus on underground projects such as tunnels, caverns, repositories etc. This paper attempts to show an approach in which LiDAR data from the Brockville Tunnel, located in Ontario, Canada, is used as the source for the determination of input parameters of DFN modelling based on manual and automatic mapping techniques. Having determined a representative set of input parameters, a deterministic DFN model is created in order to calibrate other modelling parameters associated with the generation process, leading to the creation of multiple DFN models. By employing the representative elementary volume (REV) concept, these models are used in order to examine the effect of the different joint sets on the estimated REV, and to introduce an approach of determining the required number of DFN realizations and the size of the DFN models.
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References
Ahrens J, Geveci B, Law C (2005). ParaView: an end-user tool for large data visualization, visualization handbook, Elsevier
Baecher GB (1980) Progressively censored sampling of rock joints. Math Geol 12(1):33–40
Baecher GB (1983) Statistical analysis of rockmass fracturing. Math Geol 15(2):329–348
Bear J (1972) Dynamics of Fluids in porous media. Elsevier, New York
Bonnaffe F, Jennette D, Andrews J (2007) A method for acquiring and processing ground-based lidar data in difficult-to-access outcrop for use in three-dimensional, virtual-reality models. Geosphere 3(6):501–510
Cacciari PP, Futai MM (2016) Mapping and characterization of rock discontinuities in a tunnel using 3D terrestrial laser scanning. Bull Eng Geol Environ 75:223–237
CloudCompare (2016) (version 2.7) [GPL software]. Retrieved from http://www.cloudcompare.org/
Cruden DM (1977) Describing the size of discontinuities. Int J Rock Mech Min Sci 14(3):133–137
Davy P, Le Goc R, Darcel C (2013) A model of fracture nucleation, growth and arrest, and consequences for fracture density and scaling. J Geophys Res Solid Earth 118:1393–1407
Dershowitz WS, Einstein HH (1988) Characterizing rockjoint geometry with joint system models. Rock Mech Rock Eng 21(1):21–51
Dershowitz WS, Herdra HH (1992) Interpretation of fracture spacing and intensity. Santa Fe, NM. In: Proceedings of the 32nd US rock mechanics symposium, pp 757–766
Dewez TJ, Girardeau-Montaut D, Allanic C, Rohmer J (2016). FACETS: a cloudcompare plugin to extract geological planes from unstructured 3D point clouds. Prague, Czech Republic, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 799–804
Diederichs MS, Carter MA, Lato M, Bennet JB, Hutchinson DJ (2013) Lidar surveying for liner condition, rock stability and reconditioning assessment of Canada’s oldest railway tunnel in Brockville, Ontario. In: Proceedings of GeoMontreal, Montreal, Sept 29–Oct 3 2013
Dowd PA, Xu C, Mardia KV, Fowell RJ (2007) A comparison of methods for the stochastic simulation of rock fractures. Math Geol 39:697–714
Esmaieli K, Hadjigeorgiou J, Grenon M (2010) Estimating geometrical and mechanical REV based on synthetic rock mass models at Brunswick Mine. Int J Rock Mech Min Sci 47:915–926
Farahmand K, Vazaios I, Diederichs MS, Vlachopoulos N (2015) Generation of a synthetic rock mass (SRM) model for simulation of strength crystalline rock using a hybrid DFN-DEM approach. Salzburg, ISRM regional symposium eurock 2015 & 64th Geomechanics Colloquium
Fekete S, Diederichs MS (2012) Integration of 3-dimensional laser scanning with discontinuum modelling for stability analysis of tunnels in blocky rockmasses. Int J Rock Mech Min Sci 57:11–23
Fekete S, Diederichs MS, Lato MJ (2010) Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels. Tunn Undergr Sp Technol 25(5):614–628
Feng QH, Roshoff K (2004) In-situ mapping and documentation of rock faces using a full-coverage 3D laser scanning technique. Int J Rock Mech Min Sci 41:139–144
Haneberg WC (2008) Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States. Bull Eng Geol Environ 67(4):457–469
Hudson JA, Harrison JP (1997) Engineering rock mechanics. Elsevier, Oxford
Innovemtrics (2016) Polyworks V 11.0.4, Quebec City: Innovemtrics
ISRM, I. S. f. R. M (1978) Commision on standardization of laboratory and field tests: suggested methods for the quantitative description of discontinuities in rock masses. Int J Rock Mech Min Sci 15(6):319–368
Kulatilake PH, Wu TH (1984) Estimation of mean trace length of discontinuities. Rock Mech Rock Eng 17(4):215–232
Kulatilake P, Park J, Um J-G (2004) Estimation of rock mass strength and deformability in 3-D for a 30 m cube at a depth of 485 m at Äspö Hard Rock Laboratory. Geotech Geol Eng 22:313–330
Langford JC, Diederichs MS (2015) Quantifying uncertainty in intact Hoek-Brown strength envelopes. Int J Rock Mech Min Sci 74:91–102
Lato MJ, Voge M (2012) Automated mapping of rock discontinuities in 3D lidar and photogrammetry models. Int J Rock Mech Min Sci 54:150–158
Lato MJ, Diederichs MS, Hutchinson DJ (2010) Bias correction for view-limited Lidar scanning of rock outcrops for structural characterization. Rock Mech Rock Eng 43(5):615–618
Lato MJ, Bevan G, Fergusson M (2012) Gigapixel imaging and photgrametry: development of a new long range remote imaging technique. Remote Sens 4:3006–3021
Lett JL, Emmi J (2010) The use of geotechnical photogrammetry in underground mine development. In: Bernard (ed) Shotcrete: elements of a system. Taylor & Francis Group, London, pp 181–189
Mandl G (2005) Rock joints-the mechanical genesis, 2005th edn. Springer, Berlin
Mauldon M (1998) Estimating mean fracture trace length and density from observations in convex windows. Rock Mech Rock Eng 31(4):201–2016
Mauldon M, Dunne WM, Rohrbaugh MB Jr (2001) Circular scanlines and circular windows: new tools for characterizing the geometry of fracture traces. Struct Geol 23(2–3):247–258
Min K-B, Jing L (2003) Numerical determination of the equivalent elastic compliance tensor for fractured rock masses using the distinct element method. Int J Rock Mech Min Sci 40(6):795–816
Mirarco (2016) MoFrac v2.0, Sudbury: MIrarco
Olofsson I, Fredriksson A (2005) Strategy for a numerical rock mechanics site descriptive model: future development of the theoretical/numerical approach. SKB report R-05-43. Swedish Nuclear Fuel and Waste Management Co, Stockholm
Pahl PJ (1981) Estimating the mean length of discontinuity traces. Int J Rock Mech Min Sci Geomech Abstracts 18(3):221–228
Palleske CK (2014) A study of biases, assumptions and practical consideration for the use of discrete fracture networks in geomechanical practice. Queen’s University, Kingston
Priest SD (1993) Discontinuity analysis for rock engineering, 1st edn. Chapman & Hall, London
Rocscience (2006) DIPS. Rocscience Inc, Toronto
Srivastava RM (2006) Field verification of a geostatistical method for simulating fracture network models. In: Proceedings of the 41st US rock mechanics symposium, Golden, Colorado, 17–21 June 2006
Sturzenegger M, Stead D (2009a) Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts. Eng Geol 106:163–182
Sturzenegger M, Stead D (2009b) Quantifying discontinuity orientation and persistence on high mountain rock slopes and large landslides using terrestrial remote sensing techniques. Nat Hazards Earth Syst Sci 9(2):267–287
Terzaghi RD (1965) Sources of error in joint surveys. Geotechnique 15:287–304
Umili G, Ferrero A, Einstein HH (2013) A new method for automatic discontinuity traces sampling on rock mass 3D model. Comput Geosci 51:182–192
Vazaios I, Vlachopoulos N, Diederichs MS (2015) DFN generation for mechanical stability analysis of underground works. In: ITA WTC 2015 Congress and 41st General Assembly, Dubrovnik, Croatia, 22–28 May 2015
Vazaios I, Vlachopoulos N, Diederichs MS (2016) Sampling technique biases and their effect on discrete fracture network generation for underground works using LiDAR scanning. In: Proceedings of the GeoVancouver 2016 Conference, Vancouver, Canada, 2–5 Oct 2016
Voge M, Lato MJ, Diederichs MS (2013) Automated rockmass discontinuity mapping from 3-dimensional surface data. Eng Geol 164:155–162
Xu C, Dowd P (2010) A new computer code for discrete fracture network modelling. Comput Geosci 36:292–301
Xu C, Dowd PA (2014) Stochastic fracture propagation modelling for enhanced geothermal systems. Math Geosci 46:665–690
Zhang L, Einstein HH (1998) Estimating the mean trace length of rock discontinuities. Rock Mech Rock Eng 31(4):217–235
Zhang L, Einstein HH (2000) Estimating the intensity of rock discontinuities. Int J Rock Mech Min Sci 37(5):819–837
Acknowledgements
The authors would like to thank the Nuclear Waste Management Organization of Canada and the National Science and Engineering Research Council who have supported this work. The authors would also like to thank Dr. Matthew J. Lato for his earlier LiDAR work at the Brockville Tunnel, for providing the results of his analysis of the tunnel using Plane Detect for this study, and for his guidance and help in this research.
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Vazaios, I., Vlachopoulos, N. & Diederichs, M.S. Integration of Lidar-Based Structural Input and Discrete Fracture Network Generation for Underground Applications. Geotech Geol Eng 35, 2227–2251 (2017). https://doi.org/10.1007/s10706-017-0240-x
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DOI: https://doi.org/10.1007/s10706-017-0240-x