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Numerical investigation on the stability of deforming fractured rocks using discrete fracture networks: a case study of underground excavation

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A Correction to this article was published on 22 April 2021

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Abstract

The stability of a fractured rock mass around a subsurface opening is critical to tunnel excavation. The traditional underground excavation analysis is based on a continuum description of randomly distributed discrete pre-existing fractures. In contrast to this, we have developed an improved hybrid finite element method (FEM) to investigate the stability of fractured rocks around an excavation by incorporating the outputs into the FEM codes. The proposed model consists of a discrete fracture network (DFN) model and cohesive zone model (CZM). The DFN model automatically generates a fracture network with a given fracture opening distribution and provides grid generation strategy to the FEM. The CZM captures material failure and intersection and surface contacts through the fracture element with different constitutive laws. As a case study, a DFN model was formulated for the underground excavation at Jinping Hydropower Station, in light of the input requirements of our model, and its deformation analysis was performed. The comparison analysis of rock deformation was made for excavation in both intact rock mass and fractured rock mass under the same boundary conditions. The numerical results show that two different modes of rock failure exist in these two rock masses and that intense deformation at the fractures intersected by the tunnel is responsible for fractured rock mass instability. The proposed approach was verified using data from field investigations. A larger displacement can be produced if the rock mass is weakened by a key block. A sensitivity analysis was carried out to investigate the effects of different model parameters on deformation variations. This study provides an insightful understanding of the deformation of fractured rock mass during tunnel excavation.

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Abbreviations

b(i):

Fracture width

L(i):

Length of a fracture

K I,:

KII Stress intensity factor of pure tensile and shear mode

E ij :

Elastic modulus tensor of fracture elements

T 0 :

Thickness of fracture elements

D :

Damage factor of fracture elements

K in :

Stiffness for the spring in the Bandis–Barton law

H :

Depth of the tunnel

U 1 :

Displacement in the horizontal direction

U 2 :

Displacement in the vertical direction

(x 0(i),y 0(i)):

Center point coordinates of a fracture

(x 1(i),y 1(i)):

Initial endpoint coordinates of a fracture

(x 1’(i),y 1’(i)):

Translational endpoint coordinates of a fracture

(X,Y):

Coordinates on the sides of a fracture domain

φ :

Fracture geometric parameter

f(φ):

Probability density function of a fracture geometric parameter

σ :

Standard variance of a fracture geometric parameter

μ :

Expectation of a fracture geometric parameter

λ :

Horizontal stress factor

γ :

Unit weight of rock

α(i):

Dip of a fracture

σ(δ):

Traction-separation law

Γ 0 :

Dissipated energy of material failure

σ :

traction on fracture surface

δ j :

separation on fracture surface

\( {\sigma}_i^0 \) :

peak traction of fracture elements.

\( {\delta}_i^0 \) :

Critical separation at which traction reaches its peak

\( {\delta}_i^f \) :

Critical separation at which traction becomes zero

δ m :

Effective displacement of fracture surface

δ max :

Maximum deformation in the Bandis–Barton law

References

  • Adler PM, Thovert JF (1999) Fractures and fracture networks. Kluwer Academic Publishers, Dordrecht

    Book  Google Scholar 

  • Baecher GB, Lanney NA (1978) Trace length biases in joint surveys. In: Proceedings of the 19th Symposium on Rock Mechanics, Lake Tahoe, Nevada, pp 56–65

  • Bandis SC, Lumsden AC, Barton NR (1983) Fundamentals of rock fracture deformation. Int J Rock Mech Min Sci 20(6):249–268

    Article  Google Scholar 

  • Barenblatt GI (1962) The mathematical theory of equilibrium cracks in brittle fracture. Adv Appl Mech 7:55–129

    Article  Google Scholar 

  • Barton NR, Bandis SC, Bakhtar K (1985) Strength, deformation and conductivity coupling of rock joints. Int J Rock Mech Min Sci 22(3):121–140

    Article  Google Scholar 

  • Bathe KJ (2006) Finite element procedures. Prentice-Hall, Englewood Cliffs

  • Belytschko T, Liu WK, Moran B, Elkhodary K (2013) Nonlinear finite elements for continua and structures. John Wiley & Sons, Hoboken

    Google Scholar 

  • Berkowitz B (2002) Characterizing flow and transport in fractured geological media: a review. Adv Water Resour 25(8):861–884

    Article  Google Scholar 

  • Bidgoli MN, Zhao Z, Jing L (2013) Numerical evaluation of strength and deformability of fractured rocks. J Rock Mech Geotech Eng 5(6):419–430

    Article  Google Scholar 

  • Borst R (2001) Some recent issues in computational failure mechanics. Int J Numer Methods Eng 52(1):63–95

    Article  Google Scholar 

  • Brewer JC, Lagace PA (1988) Quadratic stress criterion for initiation of delamination. J Compos Mater 22(12):1141–1155

    Article  Google Scholar 

  • Cacas MC, Ledoux E, de Marsily G, Tillie B, Barbreau A, Durand E, Feuga B, Peaudecerf P (1990) Modeling fracture flow with a stochastic discrete fracture network: calibration and validation: 1. The flow model. Water Resources Research 26(3):479-489

  • Cacciari PP, Futai MM (2016) Mapping and characterization of rock discontinuities in a tunnel using 3D terrestrial laser scanning. Bull Eng Geol Environ 75(1):223–237

    Article  Google Scholar 

  • Camanho PP, Dávila CG (2002) Mixed-mode decohesion finite elements for the simulation of delamination in composite materials. NASA/TM-2002-211737. NASA Langley Research Center, Hampton

    Google Scholar 

  • Chan SK, Tuba IS, Wilson WK (1970) On the finite element method in linear fracture mechanics. Eng Fract Mech 2(1):1–17

    Article  Google Scholar 

  • de Dreuzy J-R, Davy P, Bour O (2001) Hydraulic properties of two-dimensional random fracture networks following a power law length distribution: 2. Permeability of networks based on lognormal distribution of apertures. Water Resources Research 37(8):2079-2095

  • Dershowitz WS, Einstein HH (1988) Characterizing rock joint geometry with joint system models. Rock Mech Rock Eng 21(1):21–51

    Article  Google Scholar 

  • Dugdale DS (1960) Yielding of steel sheets containing slits. J Mech Phys Solids 8(2):100–104

    Article  Google Scholar 

  • Elmo D, Stead D (2010) An integrated numerical modelling discrete fracture network approach applied to the characterization of rock mass strength of naturally fractured pillars. Rock Mech Rock Eng 43(1):3–19

    Article  Google Scholar 

  • Fleming DC (2001) Delamination modeling of composites for improved crash analysis. J Compos Mater 35(19):1777–1792

    Article  Google Scholar 

  • Fleming M, Chu YA, Moran B, Belytschko T (1997) Enriched element free Galerkin methods for crack tip fields. Int J Numer Methods Eng 40(8):1483–1504

    Article  Google Scholar 

  • Fries TP, Belytschko T (2010) The extended/generalized finite element method: an overview of the method and its applications. Int J Numer Methods Eng 84(3):253–304

    Article  Google Scholar 

  • Geubelle PH, Baylor JS (1998) Impact-induced delamination of composites: a 2D simulation. Composites Part B 29(5):589–602

    Article  Google Scholar 

  • Ha YD, Bobaru F (2010) Studies of dynamic crack propagation and crack branching with peridynamics. Int J Fract 162(1):229–244

    Article  Google Scholar 

  • He J, Chen S, Shahrour I (2013) Numerical estimation and prediction of stress-dependent permeability tensor for fractured rock masses. Int J Rock Mech Min Sci 59:70–79

    Article  Google Scholar 

  • Henshell RD, Shaw KG (1975) Crack tip finite elements are unnecessary. Int J Numer Methods Eng 9(3):495–507

    Article  Google Scholar 

  • Hudson JA, Harrison JP (2000) Engineering rock mechanics: an introduction to the principles. Elsevier, Netherland

    Google Scholar 

  • Hyett AJ (1990) The potential state of stress in a naturally fractured rock mass. Imperial College, London

    Google Scholar 

  • Jing LR (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(3):283–353

    Article  Google Scholar 

  • Klimczak C, Schultz RA, Parashar R, Reeves DM (2010) Cubic law with aperture-length correlation: implications for network scale fluid flow. Hydrogeol J 18(4):851–862

  • Kolditz O (1995) Modelling flow and heat transfer in fractured rocks: conceptual model of a 3D deterministic fracture network. Geothermics 24(3):451–470

    Article  Google Scholar 

  • Latham JP, Xiang J, Belayneh M, Nick HM, Tsang CF (2013) Modelling stress-dependent permeability in fractured rock including effects of propagating and bending fractures. Int J Rock Mech Min Sci 57:100–112

    Article  Google Scholar 

  • Lei QH, Latham JP, Tsang CF (2017) The use of discrete fracture networks for modelling coupled geomechanical and hydrological behaviour of fractured rocks. Comput Geotech 85:151–176

    Article  Google Scholar 

  • Li S, Feng XT, Li Z, Chen B, Zhang C, Zhou H (2012) In situ monitoring of rockburst nucleation and evolution in the deeply buried tunnels of Jinping II hydropower station. Eng Geol 137:85–96

    Article  Google Scholar 

  • Liang Y, Cao L, Liu J, Sui W (2019) Numerical simulation of mechanical response of glacial tills under biaxial compression with the DEM. Bull Eng Geol Environ 78(3): 1575–1588

  • Liu HY, Kang YM, Lin P (2015) Hybrid finite discrete element modeling of geomaterials fracture and fragment muck piling. Int J Geotech Eng 9(2):115–131

  • Liu F, Ma T, Tang C, Chen F (2018) Prediction of rockburst in tunnels at the Jinping II hydropower station using microseismic monitoring technique. Tunn Undergr Space Technol 81:480–493

    Article  Google Scholar 

  • Long JCS, Remer JS, Wilson CR, Witherspoon PA (1982) Porous media equivalents for networks of discontinuous fractures. Water Resour Res 18:645–658

    Article  Google Scholar 

  • Needleman A (1990) An analysis of tensile decohesion along an interface. J Mech Phys Solids 38(3): 289–324

  • Ma WF (2011) Computational physics. Science Press, Beijing

  • Nordqvist AW, Tsang YW, Tsang CF, Dverstorp B, Andersson J (1992) A variable aperture fracture network model for flow and transport in fractured rocks. Water Resour Res 28(6):1703–1713

    Article  Google Scholar 

  • Paluszny A, Zimmerman RW (2011) Numerical simulation of multiple 3D fracture propagation using arbitrary meshes. Comput Methods Appl Mech Eng 200(9):953–966

    Article  Google Scholar 

  • Pan JB, Lee CC, Lee CH, Yeh HF, Lin HI (2010) Application of fracture network model with crack permeability tensor on flow and transport in fractured rock. Eng Geol 116(1):166–177

    Article  Google Scholar 

  • Santillán D, Mosquera JC, Cueto FL (2017) Phase field model for brittle fracture: validation with experimental results and extension to dam engineering problems. Eng Fract Mech 178:109–125

    Article  Google Scholar 

  • Siddiq A, Schmauder S, Huang Y (2007) Fracture of bicrystal metal/ceramic interfaces: a study via the mechanism based strain gradient crystal plasticity theory. Int J Plast 23(4):665–689

    Article  Google Scholar 

  • Snow DT (1965) A parallel plate model of permeable fractured media, University of California, Berkley

  • Wang XG, Jia ZX, Zhang FM (2010) The simulation of rock joint network and its application. Water Power Press, Beijing

    Google Scholar 

  • Weng X, Kresse O, Cohen CE, Wu R, Gu H (2011) Modeling of hydraulic fracture network propagation in a naturally fractured formation. In: SPE Hydraulic Fracturing Technology Conference. The Woodlands, Texas, USA, 26–44

  • Yang JP (2009) Study of macro mechanical parameters of fractured rock mass. Chinese Academy of Science, Beijing

    Google Scholar 

  • Yang JP, Chen WZ, Yang DS, Yuan JQ (2015) Numerical determination of strength and deformation of fractured rock mass by FEM modeling. Comput Geotech 64:20–31

    Article  Google Scholar 

  • Zady O, Nicolas G, Amade P (2018) Effect of hydro mechanical coupling on natural fracture network formation in sedimentary basins. Geophys J Int 213(2):798–804

    Article  Google Scholar 

  • Zehnder AT (2012) Fracture mechanics: lecture notes in applied and computational mechanics. Springer, Berlin

    Book  Google Scholar 

  • Zhang W, Dai B, Liu Z, Zhou C (2019) On the non-Darcian seepage flow field around a deeply buried tunnel after excavation. Bull Eng Geol Environ 78(1): 311–323

Download references

Acknowledgements

The authors gratefully acknowledge the support of the Chinese Fundamental Research (973) Program through the Grant No. 2015CB057906.

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Correspondence to Weizhong Chen.

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Wang, L., Chen, W., Tan, X. et al. Numerical investigation on the stability of deforming fractured rocks using discrete fracture networks: a case study of underground excavation. Bull Eng Geol Environ 79, 133–151 (2020). https://doi.org/10.1007/s10064-019-01536-9

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  • DOI: https://doi.org/10.1007/s10064-019-01536-9

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