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A 3D Fracture Network Model for the Undisturbed Rock Mass at the Songta Dam Site Based on Small Samples

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Abbreviations

\(w\) :

Width of the sampling window

\(h\) :

Height of the sampling window

\(\alpha_{i}\) :

Dip direction of the ith joint

\(\alpha_{r}\) :

Strike of the sampling window

\(\theta_{i}\) :

Dip angle of the ith joint

\(d_{i}\) :

Fracture diameter of the ith joint

\(W_{i}\) :

Weight formula for the ith joint

\({\text{Rf}}_{i}\) :

Corrected relative frequency of the ith joint

\(n\) :

Number of joints in a fracture set

\(\varepsilon_{i}\) :

The ith parameter of the supposed probability density function

\(l_{j}\) :

The jth trace length of the measured joint of a fracture set

\(v\) :

Sample size or number of sectors

\(S\) :

Statistic of the Kolmogorov–Smirnov test

\(S^{*}\) :

Critical value of the Kolmogorov–Smirnov test

\(p\) :

Approximate significance level

\(\mu_{m}\) :

Mean trace length

\(\sigma_{m}\) :

Standard deviation of the measured trace length distribution

\(\mu_{l}\) :

True mean trace length

\(\sigma_{l}\) :

Standard deviation of the true trace length distribution

\(\mu_{D}\) :

Mean joint diameter

\(\sigma_{D}\) :

Standard deviation of the joint diameter distribution

\(( {\text{COV)}}_{m}\) :

Coefficient of variation of the measured trace length distribution

\(E(D^{m} )\) :

The mth moment of the joint diameter, m = 1, 2, 3…

\(E(l^{m} )\) :

The mth moment of the trace length, m = 1, 2, 3…

\(\lambda_{i}^{1}\) :

Normal line density of the ith fracture set

\(\lambda_{i}^{V}\) :

Fracture density in unit volume of the ith fracture set

\(V\) :

Volume of simulated space region

References

  • Bai J, Jakeman AJ, McAleer M (1991) A new approach to maximum likelihood estimation of the three-parameter gamma and Weibull distributions. Aust J Stat 33:397–410

    Article  Google Scholar 

  • Bingham C (1964) Distributions on the sphere and on the projective plane. PhD thesis, Yale University, New Haven, CT

  • Chen JP, Xiao SF, Wang Q (1995) Three dimensional network modeling of stochastic fractures. Northeast Normal University Press, Changchun

    Google Scholar 

  • Chen JP, Wang Q, Zhao HL (2004) Obtaining RQD of rock mass by sampling window method. Chin J Rock Mech Eng 23:1491–1495

    Google Scholar 

  • Chen MX, Chen BG, Shen SH (2013) Application of drilling deviation correcting and deflecting techniques in geological exploration at Songta Hydropower Station. Rock Soil Drill Tunn 40:35–38

    Google Scholar 

  • Dershowitz WS, La Pointe PR, Doe TW (2004) Advances in discrete fracture network modeling. In: Proceedings of the US EPA/NGWA fractured rock conference, Portland, ME, September 2004, pp 882–894

  • 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

    Article  Google Scholar 

  • Dowd PA, Martin JA, Xu C, Fowell RJ, Mardia KV (2009) A three-dimensional fracture network data set for a block of granite. Int J Rock Mech Min Sci 46:811–818

    Article  Google Scholar 

  • Drew JH, Glen AG, Leemis LM (2000) Computing the cumulative distribution function of the Kolmogorov–Smirnov statistic. Comput Stat Data Anal 34:1–15

    Article  Google Scholar 

  • Gorenflo R, Vessella S (1991) Abel integral equations: analysis and applications. Springer, Berlin

    Google Scholar 

  • Hammah RE, Curran JH (1999) On distance measures for the fuzzy K-means algorithm for joint data. Rock Mech Rock Eng 32:1–27

    Article  Google Scholar 

  • Hammah RE, Curran JH (2000) Validity measures for the fuzzy cluster analysis of orientations. IEEE Trans Pattern Anal Mach Intell 22:1467–1472

    Article  Google Scholar 

  • Ivanova VM, Sousa R, Murrihy B, Einstein HH (2014) Mathematical algorithm development and parametric studies with the GEOFRAC three-dimensional stochastic model of natural rock fracture systems. Comput Geosci 67:100–109

    Article  Google Scholar 

  • Jing L (2003) A review of techniques, advances and outstanding issues in numerical modelling for rock mechanics and rock engineering. Int J Rock Mech Min Sci 40:283–353

    Article  Google Scholar 

  • Johnson RA, Bhattacharyya GK (2009) Statistics: principles and methods, 6th edn. Wiley, Hoboken

    Google Scholar 

  • Karzulovic A, Goodman RE (1985) Determination of principal joint frequencies. Int J Rock Mech Min Sci Geomech Abstr 22:471–473

    Article  Google Scholar 

  • Kemeny J, Post R (2003) Estimating three-dimensional rock discontinuity orientation from digital images of fracture traces. Comput Geosci 29:65–77

    Article  Google Scholar 

  • Kulatilake PHSW, Wu TH (1984a) Estimation of mean trace length of discontinuities. Rock Mech Rock Eng 17:215–232

    Article  Google Scholar 

  • Kulatilake PHSW, Wu TH (1984b) Sampling bias on orientation of discontinuities. Rock Mech Rock Eng 17:243–253

    Article  Google Scholar 

  • Kulatilake PHSW, Wathugala DN, Stephansson OVE (1993) Stochastic three dimensional joint size, intensity and system modelling and a validation to an area in Stripa Mine, Sweden. Soils Found 33:55–70

    Article  Google Scholar 

  • Li XZ, Zhou YY, Wang ZT, Zhang YS, Guo L, Wang YZ (2011) Effects of measurement range on estimation of trace length of discontinuities. Chin J Rock Mech Eng 30:2049–2056

    Google Scholar 

  • Li XJ, Zuo YL, Zhuang XY, Zhu HH (2014a) Estimation of fracture trace length distributions using probability weighted moments and L-moments. Eng Geol 168:69–85

    Article  Google Scholar 

  • Li YY, Wang Q, Chen JP, Han LL, Song SY (2014b) Identification of structural domain boundaries at the Songta dam site based on nonparametric tests. Int J Rock Mech Min Sci 70:177–184

    Google Scholar 

  • Marcotte D, Henry E (2002) Automatic joint set clustering using a mixture of bivariate normal distributions. Int J Rock Mech Min Sci 39:323–334

    Article  Google Scholar 

  • Mauldon M (1998) Estimating mean fracture trace length and density from observations in convex windows. Rock Mech Rock Eng 31:201–216

    Article  Google Scholar 

  • Mauldon M, Dunne WM, Rohrbaugh MB (2001) Circular scanlines and circular windows: new tools for characterizing the geometry of fracture traces. J Struct Geol 23:247–258

    Article  Google Scholar 

  • Min KB, Jing L, Stephansson O (2004) Determining the equivalent permeability tensor for fractured rock masses using a stochastic REV approach: method and application to the field data from Sellafield, UK. Hydrogeol J 12:497–510

    Article  Google Scholar 

  • Munier R (2004) Statistical analysis of fracture data, adapted for modelling discrete fracture networks—version 2. Swedish Nuclear Fuel and Waste Management Company, Stockholm

    Google Scholar 

  • Oda M (1982) Fabric tensor for discontinuous geological materials. Soils Found 22:96–108

    Article  Google Scholar 

  • Rafiee A, Vinches M (2008) Application of geostatistical characteristics of rock mass fracture systems in 3D model generation. Int J Rock Mech Min Sci 45:644–652

    Article  Google Scholar 

  • Rajan J, den Dekker AJ, Sijbers J (2014) A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov–Smirnov test. Signal Proc 103:16–23

    Article  Google Scholar 

  • Riley MS (2005) Fracture trace length and number distributions from fracture mapping. J Geophys Res 110:B08414

    Google Scholar 

  • Ross SM (1997) Introduction to probability models, 6th edn. Academic Press, New York

    Google Scholar 

  • Song JJ, Lee CI (2001) Estimation of joint length distribution using window sampling. Int J Rock Mech Min Sci 38:519–528

    Article  Google Scholar 

  • Tian KM, Wan L (1989) Study on permeability of anisotropic fracture medium. Academy Press, Beijing

    Google Scholar 

  • Tonon F, Chen S (2007) Closed-form and numerical solutions for the probability distribution function of fracture diameters. Int J Rock Mech Min Sci 44:332–350

    Article  Google Scholar 

  • Warburton PM (1980) A stereological interpretation of joint trace data. Int J Rock Mech Min Sci Geomech Abstr 17:181–190

    Article  Google Scholar 

  • Wei ZS (1989) Course on probability and mathematical statistics. Higher Education Press, Beijing

    Google Scholar 

  • Wu Q, Kulatilake PHSW, Tang HM (2011) Comparison of rock discontinuity mean trace length and density estimation methods using discontinuity data from an outcrop in Wenchuan area, China. Comput Geotech 38:258–268

    Article  Google Scholar 

  • Xu CS, Dowd P (2010) A new computer code for discrete fracture network modelling. Comput Geosci 36:292–301

    Article  Google Scholar 

  • Xu LM, Chen JP, Wang Q, Zhou FJ (2013) Fuzzy C-means cluster analysis based on mutative scale chaos optimization algorithm for the grouping of discontinuity sets. Rock Mech Rock Eng 46:189–198

    Article  Google Scholar 

  • Yilmaz H, Sazak HS (2014) Double-looped maximum likelihood estimation for the parameters of the generalized gamma distribution. Math Comput Simul 98:18–30

    Article  Google Scholar 

  • Zhang L (1999) Analysis and design of drilled shafts in rock. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA

  • Zhang L, Einstein HH (1998) Estimating the mean trace length of rock discontinuities. Rock Mech Rock Eng 31:217–235

    Article  Google Scholar 

  • Zhang L, Einstein HH (2000) Estimating the intensity of rock discontinuities. Int J Rock Mech Min Sci 37:819–837

    Article  Google Scholar 

  • Zhang W, Chen JP, Liu C, Huang R, Li M, Zhang Y (2012) Determination of geometrical and structural representative volume elements at the Baihetan dam site. Rock Mech Rock Eng 45:409–419

    Article  Google Scholar 

  • Zhang W, Chen JP, Cao ZX, Wang RY (2013) Size effect of RQD and generalized representative volume elements: a case study on an underground excavation in Baihetan dam, Southwest China. Tunn Undergr Space Technol 35:89–98

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the State Key Program of the National Natural Science Fund of China (Grant No. 41330636), the National Natural Science Fund of China (Grant Nos. 41402242, 41402243, and 41202197), and Graduate Innovation Fund of Jilin University (Grant No. 2014062). We thank Dr. Giovanni Barla and an anonymous reviewer for the excellent reviews that helped to improve the manuscript.

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Han, X., Chen, J., Wang, Q. et al. A 3D Fracture Network Model for the Undisturbed Rock Mass at the Songta Dam Site Based on Small Samples. Rock Mech Rock Eng 49, 611–619 (2016). https://doi.org/10.1007/s00603-015-0747-5

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