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Effect of Joint Orientation Distribution on Hydraulic Behavior of the 2-D DFN System
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  • Journal title : Economic and Environmental Geology
  • Volume 49, Issue 1,  2016, pp.31-41
  • Publisher : The Korean Society of Economic and Environmental Geology
  • DOI : 10.9719/EEG.2016.49.1.31
 Title & Authors
Effect of Joint Orientation Distribution on Hydraulic Behavior of the 2-D DFN System
Han, Jisu; Um, Jeong-Gi;
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 Abstract
A program code was developed to calculate block hydraulic conductivity of the 2-D DFN(discrete fracture network) system based on equivalent pipe network, and implemented to examine the effect of joint orientation distribution on the hydraulic characteristics of fractured rock masses through numerical experiments. A rock block of size was used to generate the DFN systems using two joint sets with fixed input parameters of joint frequency and gamma distributed joint size, and various normal distributed joint trend. DFN blocks of size were selected from center of the blocks to avoid boundary effect. Twelve fluid flow directions were chosen every starting at . The directional block conductivity including the theoretical block conductivity, principal conductivity tensor and average block conductivity were estimated for generated 180 2-D DFN blocks. The effect of joint orientation distribution on block hydraulic conductivity and chance for the equivalent continuum behavior of the 2-D DFN system were found to increase with the decrease of mean intersection angle of the two joint sets. The effect of variability of joint orientation on block hydraulic conductivity could not be ignored for the DFN having low intersection angle between two joint sets.
 Keywords
fractured rock mass;joint orientation distribution;discrete fracture network;block hydraulic conductivity;numerical analysis;
 Language
Korean
 Cited by
1.
Effect of Joint Aperture Variation on Hydraulic Behavior of the 2-D DFN System, Tunnel and Underground Space, 2016, 26, 4, 283  crossref(new windwow)
 References
1.
Andersson, J. and Dverstorp, B. (1987) Conditional simulations of fluid flow in three dimensional networks of discrete fractures. Water Resour. Res. v.23, p.1876-1886. crossref(new window)

2.
Bang, S., Jeon, S. and Choe, J. (2003) Determination of equivalent hydraulic conductivity of rock mass using three-dimensional discontinuity network, J. of Korean Society for Rock Mech., v.13, p.52-63.

3.
Berkowitz, B. (2002) Characterizing flow and transport in fractured geological media: a review. Adv. Water Resour. Res. v.25, p.861-884. crossref(new window)

4.
Cacas, M.C., Ledoux, E., de Marsily, G., Tillie, B., Barbreau, A., Durand, E., Feuga, B. and Peaudecerf, P. (1990) Modeling fracture flow with a stochastic discrete fracture network: calibration and validation: 1. The flow model. Water Resour. Res. v.26, p.479-489.

5.
Dershowitz, W. and Miller, I. (1995) Dual porosity fracture flow and transport. Geophys. Res. Lett. v.22, p.1441-1444. crossref(new window)

6.
Han, J. and Um, J. (2015) Characteristics of block hydraulic conductivity of 2-D DFN system according to block size and fracture geometry, J. of Korean Society for Rock Mech., v.25, p.450-461.

7.
Haws, N.W., Rao, P.S.C., Simunek, J. and Poyer, I.C. (2005) Single-porosity and dual-porosity modeling of water flow and solute transport in subsurface-drained fields using effective field-scale parameters. J. Hydrol. v.313, p.257-273. crossref(new window)

8.
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. v.40, p.283-353. crossref(new window)

9.
Jing, L. and Hudson, J. (2002) Numerical methods in rock mechanics. Int. J. Rock Mech. Min. Sci. v.39, p.409-427. crossref(new window)

10.
Kantani, K. (1984) Distribution of directional data and fabric tensors, Int. J. Engng Sci. v.22, p.149-164. crossref(new window)

11.
Li, L.C., Tang, C.A., Wang, S.Y. and Yu, J. (2013) A coupled thermo-hydrologic-mechanical damage model and associated application in a stability analysis on a rock pillar. Tunn. Undergr. Sp. Tech. v.34, p.38-53. crossref(new window)

12.
Long, J.C.S., Gilmour and P., Witherspoon, P.A. (1985) A model for steady fluid flow in random three-dimensional networks of disc-shaped fractures. Water Resour. Res. v.21, p.1105-1115. crossref(new window)

13.
Long, J.C.S., Remer, J.S., Wilson, C.R. and Witherspoon, P.A. (1982) Porous Media Equivalents for networks of Discontinuous fractures. Water Resour. Res. v.18, p.645-658. crossref(new window)

14.
Neuman, S.P. (2005) Trands, prospects and challenges in quantifying flow and transport through fractured rocks. Hydrogeol. J. v.13, p.124-147. crossref(new window)

15.
Oda, M. (1985) Permeability tensor for discontinuous rock masses. Geotechnique. v.35, p.483-495. crossref(new window)

16.
Panda, B.B. and Kulatilake, P.H.S.W. (1999) Effect of joint geometry and transmissivity on jointed rock hydraulics, J. Eng. Mech. v.125, p.41-50. crossref(new window)

17.
Priest, S.D. (1993) Discontinuity Analysis for Rock Engineering, Chapman & Hall, London, 473p.

18.
Pruess, K., Wang, J.S.Y. and Tsang, Y.W. (1990a) On thermohydrologic conditions near high-level nuclear wastes emplaced in partially saturated fractured tuff: 1. Simulation studies with explicit consideration of fracture effects. Water Resour. Res. v.26, p.1235-1248.

19.
Pruess, K., Wang, J.S.Y. and Tsang, Y.W. (1990b) On thermohydrologic conditions near high-level nuclear wastes emplaced in partially saturated fractured tuff: 2. Effective continuum approximation. Water Resour. Res. v.26, p.1249-1261.

20.
Rouleau, A. and Gale, J.E. (1987) Stochastic discrete fracture simulation of ground water flow into an underground excavation in granite. Int. J. Rock Mech. Min. Sci. Geomech. Abstr. v.24, p.99-112.

21.
Sahimi, M. (1993) Flow phenomena in rocks: from continuum models to fractals, percolation, cellular automata, and simulated annealing. Rev. Mod. Phys. v.65, p.1393. crossref(new window)

22.
Schwartz, F.W., Smith, W.L. and Crowe, A.S. (1983) A stochastic analysis of microscopic dispersion in fractured media. Water Resour. Res. v.19, p.1253-1265. crossref(new window)