c users dheeraj appdata local temp plugtmp-3 plugin-science-1
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Mining Science and Technology Vol.20 No.6810
it just indicates the equilibrium of various forces ondestruction. A difficulty with all these equilibrium
methods is that, in turn, these necessitate the assump-
tions relating to side force directions between theslices, yet the concept of the side forces is entirely
artificial and is not well established till date[1]
. Thus,discrete element method, which conducts analyzing
the rock slopes having joints through an aspect on the
behavior of particle size, was used in this study toevaluate the stability of these external overburden
dumps[4-7]
. The Discrete Element Method (DEM) de-scribed the mechanical behavior of these assemblies
of discs (2D) and spheres (3D) representing the
geo-materials by shape for the considered externaloverburden mine dumps. The method is based on theuse of an explicit numerical scheme in which the in-
teractions between or amongst the particles aremonitored following contact-by-contact, and the mo-
tion of the particles are modeled particle-by-particle.Results were compared with the ones derived from
the existing limit equilibrium method, after analyzing
an aspect of final failure surface that originated fromthe movement of the dump surfaces.
2 Limit equilibrium method
Limit equilibrium method has been widely used toanalyze dump or embankment slope stability in the
past, worldwide. In the present study, in order to
evaluate the interrelation between the behavior of the
joint faces and the stability of the overburden dumpslopes; the material properties derived from the safety
factor obtained from the limit equilibrium methodwere used in this study. The Eq.(1) was used to
evaluate the safety factor of a dry slope where tension
crack does not exist. The basic material properties ofoverburden were used for the analysis, and the calcu-
lations were carried out to derive the safety factorvalues of 1.67, 1.17, 0.95, and 0.92 by changing the
gradient of the joint surfaces while other parameters
kept on the same.
( )2
cos tan
sin
cos
1cot cot
2
P
P
P
P f
CA WFoS
W
A H ec
W H
+-=
=
=
(1)
where FoS is the safety factor; C and the cohe-
sion and the friction angle of joint respectively;A and
W the contact area and the weight of the moving
ground block respectively; P and f the angle of
joint planes and the slope face angle respectively; all
expressed in consistent units.The interrelation between safety factor and the
gradient of discontinuity evaluated through the limit
equilibrium method in the present study have beenproduced in Table 1. It may be observed from the
table that keeping the other parameters like the cohe-sion, friction angle, the slope angle and the height of
the slope fixed the factor of safety decreases withincrease in the angle of the joint.
Table 1 Calculated parameter P for obtaining the safety factors with other parameters for the considered slope
Density (kg/m3) Cohesion (kPa) Friction angle () Slope angle () Height (m) Angle of joint plane () Factor of safety
2000 2 20 45 35 15 1.67
2000 2 20 45 35 22 1.17
2000 2 20 45 35 29 0.95
2000 2 20 45 35 35 0.92
3 Discrete element method
In the DEM, the interaction of the particles istreated as a dynamic process with states of equilib-
rium developing whenever the internal forces balance
each other. The contact forces and displacements of astressed assembly of particles are found by tracing themovements of the individual particles. Movements
result from the propagation, through the particle sys-tem, of disturbances caused by the specified walls
and the particle motion and/or body forces. This is adynamic process in which the speed of propagation
depends on the physical properties of each of these
discrete systems.
The dynamic behavior is represented numericallyby an explicit time stepping algorithm, using a cen-tral-difference scheme to integrate the accelerations
and the velocities. The DEM is based upon the idea
that the time step chosen may be so small that, during
a single time step, disturbances cannot propagate
from any particle further than its immediateneighbors. Then, at all times, the forces acting on any
particle are determined exclusively by its interactions
with the neighboring particles with which it is incontact. Since the speed at which a disturbance can
propagate is a function of the physical properties ofthe discrete system, the time step can be chosen ac-
cordingly to satisfy the above constraint. The use of
an explicit, as opposed to an implicit, numericalscheme makes it possible to simulate the nonlinearinteraction of a large number of particles without ex-cessive memory requirements or the need for an it-
erative procedure.The calculations performed in the DEM alternate
between the application of Newtons second law to
the particles and a force-displacement law at the con-
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RADHAKANTA Koner et al Discrete element approach for mine dump stability analysis 811
tacts. The Newtons second law is used to determinethe motion of each particle arising from these con-
tacts and body forces acting upon it; while the
force-displacement law is used to update the contactforces arising from the relative motion at each of
these contacts. The presence of walls in PFC2D re-quires only the force-displacement law to account for
behaviour of the ball-wall contacts. The Newtons
second law is not applied to the walls, since the wallmotion is specified as boundary of the model i.e.,
fixed (Fig. 1).
Fig. 1 Calculation cycle followed in PFC2D
4 Evaluation of the model properties for
simulation
The laboratory results of solids such as rocks, canbe simulated with the numerical tests on synthetic
materials. The PFC2D input parameters could bevaried until the behavior of the numerical samplematches that of the physical sample. The correspond-
ing parameters may then be used in a PFC2D simula-
tion for a larger problem containing the same solidmaterial as in the sample.
Biaxial tests simulated by confining a rectangularsample (comprised of a compacted particle assembly)
within the defined four walls of the numerical model.The top and bottom walls simulate loading platens;whereas the left and right walls simulate the con-
finement experienced by the sample sides.
The sample is loaded in a strain-controlled fashionby specifying the velocities of the top and bottom
walls. During all stages of the test, the velocities ofthe left and right walls are controlled automatically
by a numerical servo-mechanism that maintains aconstant confining stress within the sample. Thestresses and strains experienced by the sample are
determined in a macro-fashion by summing all theforces acting upon it, and relative the distance be-
tween the appropriate walls. Material response is
computed by tracking the various stress and strainhistories.
The complete set of micromechanical parameters
that characterizes a contact-bonded material are givenby:
/
c
n s
c
c
E
k k
-
wherecE is the Youngs modulus at each parti-
cle-particle of the contact;sn
kk / the ratio of parti-
cle normal to shear stiffness; the particle friction
coefficient (that applies when the contact bond has
broken); and c and c the normal and shear
strengths, respectively, of the material lying between
any two particles joined by a contact bond.
In order to determine the basic material propertiesof overburden dump geo-materials, which are equiva-
lent to those of limit equilibrium method, for using inthe discrete element method, the material calibrationshould be carried out as depicted in Fig. 2
[4-5].
-
-
c
c
sn
c
t
kk
E
c
E
/
Fig. 2 Calibration of micromechanical properties from the
physical mechanical properties of solids
Similar to the numerical biaxial test; the direct
shear tests were also simulated to convert the me-chanical properties of the overburden dump geo-ma-
terials into the micromechanical properties for the
numerical analysis[6-10]
. The procedure of simulationis shown in Figs. 1 to 4. The derived input propertiesare presented in Tables 2 to 4.
Fig. 3 Flowchart of the method adopted for predictingdisplacement profiles using the discrete element method
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Mining Science and Technology Vol.20 No.6812
K
(a) Test model (b) Simulation
Fig. 4 Numerical biaxial the test model and simulation
Table 2 Original and artificial properties of the dump mass
Parameter Original property Artificial property
UCS (MPa) 96 100
Youngs modulus (GPa) 73 7
Poissons ratio 0.26 0.25
Table 3 Micromechanical properties used for dump mass
Item Density (kg/m3) 2300
Kn 1x108
Ball Stiffness (N/m)Ks 1x10
8
Pb_rad (m) 1.0
Pb_ks (GPa/m) 1.5
Pb_kn (GPa/m) 1.5
Pb_nstrength (MPa) 2
Parallel bond
Pb_ssterngth (MPa) 2
Table 4 Micromechical properties used fordiscontinuity plane (joint)
Items Value
Friction coefficient 0.0
N_bond (N) 1000.0
S_bond (N) 1000.0
Spacing 0.1
5 Model geometry
Fig. 5 shows the geometry of the overburden dump
slope model investigated for the present study. Ana-lyzed range of dump mass geometry is 95 m60 m,
the height of slope is 30 m and gradient of slope is45. The sides of the model were fixed to the X-axis
and the lower part was fixed in bothX- and Y-axes as
the boundary conditions imposed for the analysis.
P
(a) 30 m high dump slope with both side (b) Joint inserted at the distinct element model (15)
roller boundary and rigid at the base
Fig. 5 Numerical dump slope geometry
6 Results and discussion
Discrete element analyses were carried out usingthe simulated material properties for each of thesafety factor as input data; results have been shown in
Fig. 6. In each figure, a red line showed the critical
discontinuity surface by joint. The effect of disconti-nuity surface (joint) did show small displacement
responses for the first and the second models with thesafety factors of 1.67 and 1.17 respectively. So, this
represents the safer sides of these dumps in view of
the stability conditions (Figs. 6a and 6b). But gradualsliding movement occurred along the slopes of joint
faces for the third and the fourth cases with the safetyfactors of 0.95 and 0.92 respectively (Figs. 6c and 6d).In these mine dumps, the sliding occurred along the
discontinuity surface (more prominent in the Fig. 6d,
discontinuity surface oriented at 35 dip direction).
There were also some potential irregular failuresurfaces developed (as shown in Fig. 7, the line join-
ing the cracks distinguished by the red line), that only
gave hints about the imminent failure. These mayserve as indicators and proper precautionary measures
may be taken up based on these observations.
7 Conclusions
In this study, the behavior of the external mineoverburden dump slopes interlocked with the discon-tinuity surfaces was analyzed using the PFC2D tool,
which implements one of the discrete element meth-
ods. To describe the basic behaviours, microme-chanical material properties were derived from labo-
ratory test models. Four mine external overburden
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RADHAKANTA Koner et al Discrete element approach for mine dump stability analysis 813
dump slope models were analyzed which wereequivalent to the limit equilibrium models with dif-
ferent safety factors of 1.67, 1.17, 0.95, and 0.92.
(a) Angle 15 and displacement of 0.2 m (b) Angle 22 and displacement of 0.4 m
(c) Angle 29 and displacement of 2.57 m (d) Angle 35 and displacement of 3.27 m
Fig. 6 DEM analysis for different joint set dip angles and displacements
Fig. 7 Line of potential failure surface and the unstableblock region at the dump slope
The safety factors of 1.67 and 1.17 obtained in
DEM models did not show any failure behavioraround the slope faces or discontinuity planes, while
those for 0.95 and 0.92 showed sliding along the dis-
continuity planes and slope faces. Consequently, onecan estimate the safety factor as well as estimate the
failure behavior on the joint planes and slope faces by
the use of the distinct element methods; of which thelater cannot be analysed in the equilibrium analysismethods. Similar to the fact that, at any real mineexternal overburden dump, the failure surface(s) is
(are) usually not regular has been established using
this analysis where the output also is observed to bethe irregular potential failure surface in the dump
slope.
References
[1] Griffiths D V, Lane P A. Slope stability analysis by finite
elements. Geotechnique, 1999, 49(3): 387-403.[2] Koner R K, Chakravarty D. Application of artificial
neural network in slope stability analysis: a case study.
In: Proceedings of the International Symposium on Ad-vances in Mining Technology and Management. Kharag-
pur: IIT, 2005.[3] Koner R, Chakravarty D, Singh A K, Chakravarty K.
Application of numerical methods for assessment ofslope stability.Mine Tech, 2008, 29(1): 3-10.
[4] Koner R, Chakravarty D. Stability study of the mineoverburden dumps slope: a micromechanical approach.
Studia Geotechnica et Mechanica, 2010, XXXII(1): 35-58.
[5] Preh A, Poisel R, Krastanov J. Investigation of the fail-
ure mechanisms of hard, competent rock lying on a soft,
incompetent base by PFC2D. In: Proceedings of 1st In-ternational PFC Symposium. Gelsenkirchen: Swets &
Zeitlinger, Lisse, 2002: 277-282.[6] Seidel J P, Haberfield C M. A theoretical model for rock
joints subjected to constant normal stiffness direct shear.
Int J Rock Mech Mining Sci, 2002, 39(5): 539-553.[7] Wang C, Tannant D D, Lilly P A. Numerical analysis of
the stability of heavily jointed rock slopes using PFC2D.
Int J Rock Mech Mining Sci, 2003, 40: 415-424.
[8] Yin S H, Wu A X. Experimental study of preferentialsolute transportation during dump leaching. Journal ofChina University of Mining & Technology, 2006, 16(4):
416-420.[9] Ataei M, Bodaghabadi S. Comprehensive analysis of
slope stability and determination of stable slopes in theChador-Malu iron ore mine using numerical and limit
equilibrium methods. Journal of China University of
Mining & Technology, 2008, 18(4): 488-493.[10] Song H W, Duan Y Y, Yang J. Numerical simulation on
bolted rock joint shearing performance.Mining Scienceand Technology, 2010, 20(3): 460-465.
Region ofinstability