a numerical examination of the hollow cylindrical torsional shear test using dem
TRANSCRIPT
RESEARCH PAPER
A numerical examination of the hollow cylindrical torsionalshear test using DEM
Bo Li • Fengshou Zhang • Marte Gutierrez
Received: 10 October 2013 / Accepted: 20 April 2014
� Springer-Verlag Berlin Heidelberg 2014
Abstract This paper presents results of three-dimen-
sional simulations of the hollow cylindrical torsional shear
test using the discrete element method. Three typical stress
states that can be applied in the hollow cylindrical appa-
ratus (HCA), i.e. triaxial, torsional compression and pure
torsional, are examined in terms of the distributions of
stresses and strains in the HCA sample. The initiation and
propagation of the shear bands in the sample were char-
acterized by porosity and shear strain rate distributions in
the sample. The results show that the shear strain rate
contour is a better indicator for shear band development
than the porosity contours. It is demonstrated that the
stresses and strains measured in the shear zone are signif-
icantly different from the boundary measurements and the
average values used in HCA testing. Initially, the peak
strength measured from the boundary forces was found to
be slightly lower than that measured in the shear band.
Subsequently, due to the formation of shear band, the stress
ratio from boundary forces decreased significantly
especially when the major principal stress is oriented 30�and 45� from the vertical. The evolutions of porosity,
coordination number and particle rotation at different
locations in the sample were also monitored. Finally, the
appropriateness of the HCA is evaluated in comparison
with previously published data.
Keywords Discrete element method � Granular soils �Hollow cylinder apparatus � Shear bands � Strain
localization
1 Introduction
The hollow cylinder apparatus (HCA) is a versatile testing
device widely employed to investigate the constitutive
behavior of soils under generalized stress conditions,
including principal stress rotation, anisotropy and non-
coaxiality (e.g., [5, 21, 28, 29]). Saada et al. [23, 24] pio-
neered the use of HCA for investigating the effects of
principal stress rotation in sands and clays. Later, Saada
et al. [25, 26] investigated the localization of deformation
of homogeneous sand specimens by using a digital imaging
system in conjunction with HCA testing. Observations
backed by photographic records indicated that for sands, a
dominant shear band is initiated in the vicinity of the peak
strength and fully develops as the loading moves toward
the critical state. The inclination of the shear band appears
to depend on both friction angle and the dilation angle. The
non-coaxial behavior of sand has been extensively studied
using the HCA (e.g., [5, 6, 9, 11, 20, 38]). Lade et al. [11,
12] also investigated the shear banding and cross-aniso-
tropic behavior of sands observed in the HCA with prin-
cipal stress rotation. The friction and dilation angles of the
specimen with different principal stress directions were
B. Li (&)
Department of Civil Engineering, Wenzhou University,
Wenzhou 325000, People’s Republic of China
e-mail: [email protected]
F. Zhang
Itasca Houston, Inc., Itasca, TX, USA
e-mail: [email protected]
M. Gutierrez
Department of Civil, Infrastructure and Environmental
Engineering, Khalifa University, Abu Dhabi, UAE
e-mail: [email protected]
M. Gutierrez
Department of Civil and Environmental Engineering,
Colorado School of Mines, Golden, CO 80401, USA
123
Acta Geotechnica
DOI 10.1007/s11440-014-0329-9
studied. Also, Lade et al. [11] stated that shear banding was
initiated before the smooth peak failure, similar to the
observation of Saada et al. [26].
Even though the HCA offers highly sophisticated
capabilities for the study of soil behavior, including the
ability to apply true triaxial loading and rotate the principal
stresses, its use has been subject to criticisms. The issues
are primarily focused on the non-uniform distribution of
stresses and strains within the specimen, which are induced
by the specimen geometry, end restraints, the applied tor-
que and the difference between internal and external con-
fining pressures (e.g., [7, 13, 19, 24, 27, 32]). Hight et al.
[7] proposed equations for the average stress and strain
calculations for the HCA. In addition, error indices were
defined to characterize stress non-uniformities in the sam-
ple. These indices were dependent on the stress state,
specimen geometry and constitutive law of the test mate-
rial. Vaid et al. [32] also analyzed non-uniformity in hol-
low cylinder specimens by using linear elastic model.
Through optimization, two criteria based on elasticity
theory and finite element methods are widely accepted for
dimensioning HCAs that will yield minimal non-uniform
loading (e.g., [24, 27]).
Similar with other element tests, traditional interpreta-
tions of the stress and strain states in the HCA have been
based on continuum mechanics. However, a continuum
approach might not be suited for treating complex stress
paths especially when the exact state of the specimen
during loading is non-uniform. Hence, doubt is cast upon
the reliability of HCA test results for their use in practical
engineering designs. From the microscopic point of view,
the investigation of strain localization has been primarily
based on the observations of sample deformations at the
boundary, and thus could not capture the evolution of the
microstructure of the shear band. Although various imag-
ing methods including stereo-photogrammetry, digital
image correlation, X-ray CT and micro-focus X-ray CT
have been used for local measurements on sand specimens,
and significant progress has been made in understanding
the relationship between local phenomena in shear bands
and global behavior, these technological and practical
difficulties make these methods unable or too expensive to
continuously track physical quantities inside and outside
the shear bands during the course of loading. (e.g., [18, 34])
In recent years, there has been a strong interest in the use of
discrete element modeling (DEM) to improve the under-
standing of the behavior of granular soils particularly from
the micro-mechanical perspective. DEM also has enabled
continuous and accurate quantification of fabric evolution
as well as strain localization by local measurements in the
virtual experiments.
Many investigators have used DEM to examine the
effectiveness of the physical data from lab tests and explore
the internal structure of test specimens. For instance, Ni
et al. [15] reported results of three-dimensional DEM
simulations of the direct shear test in which non-spherical
particles were generated by bonding pairs of unequal-sized
spheres. They showed that the dilation and bulk friction
angles increased with inter-particle friction and with
composite particle shape factor. Ni et al. [15] also exam-
ined the effect of the number of particles used to fill the
same sized box and showed that, as the number of particles
increased from 5,000 to 50,000, the dilation angle reduced
exponentially. There was no significant change in the peak
bulk friction angle, but the residual friction angle was
reduced from 37� to 28�. It was also shown that deforma-
tion was restricted to a narrow shear zone near the mid-
height of the specimen. The thickness of the shear zone
was approximately 11�D50, where D50 is the grain size at
Fig. 1 Forces acting on the hollow cylinder specimen
Fig. 2 Three-dimensional DEM model of hollow cylinder sample
Acta Geotechnica
123
50 % passing. Within this zone was a narrower zone of
intense particle rotations. Thornton and Zhang [31, 39] also
examined the effectiveness of the direct shear test using
DEM. It was shown that the evolution of the stress ratio
(s/r) inside the shear band was very similar to the inferred
values from boundary force calculation. It was demon-
strated that dilation in the shear band was much greater
than the one obtained from boundary observations. DEM
simulation results reported by Wang and Gutierrez [35]
showed that the maximum shear strength measured at the
model boundary increased with decreasing specimen
length scale and increasing specimen height scale. More-
over, micromechanics-based analysis indicated that the
local and global aspects of fabric change and failure were
the major mechanisms responsible for the specimen scale
effect (e.g., [36, 37]).
Despite wide use of the HCA, there are no published
literatures on the comprehensive DEM examination of the
HCA under complex stress paths. In this regard, this paper
presents a comprehensive DEM study of the hollow cyl-
inder specimen under complex stress states. Three-dimen-
sional DEM simulation of the HCA test with rigid spherical
particles in loose and dense states are performed under
three typical loadings, namely, triaxial, torsional com-
pression and pure torsional conditions. The DEM simula-
tions were carried out using PFC3D, developed by Itasca
Consulting Group, Inc. Macroscopic behavior of the HCA
specimen is interpreted using stresses, strains and volu-
metric change measured at the boundary. At the same time,
to represent the microscopic behavior and strain localiza-
tion of the specimen at different stress states, the ‘‘mea-
suring sphere scheme’’ is used to illustrate the mechanical
response at specified sampling locations in the specimen.
The appropriateness of the HCA is discussed in details.
Shear banding in terms of spatial distribution of porosity,
shear strain rate and particle rotations are studied to illus-
trate the microstructure evolution. Micromechanics-based
shear banding analysis is used to provide fundamental
explanations of the effects that the test scale has on the
macro-scale behavior of granular soils inside the HCA.
2 Simulation details
2.1 Model setup
The HCA allows independent control of the magnitudes of
the three principal stresses and direction a of one of the
principal stresses. Figure 1 illustrates the idealized stress
condition in a hollow cylindrical element subject to axial
load W, torque Mt, internal pressure Pi and external cell
pressure Po. During shearing, the torque Mt applies shear
Table 1 Equations used for calculating stresses and strains in the HCA
Stress Strain
Vertical rz ¼ Wpðr2
o�r2iÞ þ
por2o�pir
2i
ðr2o�r2
iÞ
ez ¼ zH
Circumferential rh ¼ poro�piri
ro�rieh ¼ � uoþui
roþri
Radial rr ¼ poroþpiri
roþrier ¼ � uo�ui
ro�ri
Shear szh ¼ T2
32pðr3
o�r3iÞ þ
4ðr3o�r3
iÞ
3pðr2o�r2
iÞðr4
o�r4iÞ
h iczh ¼
hðr3o�r3
iÞ
3Hðr2o�r2
iÞ
Major principalr1 ¼ rzþrh
2þ
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffirz�rh
2
� �2þs2zh
qe1 ¼ ezþeh
2þ
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiez�eh
2
� �2þc2zh
q
Intermediate principal r2 ¼ rr e2 ¼ er
Minor principal r3 ¼ rzþrh2�
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiðrz�rh
2Þ2 þ s2
zh
qe1 ¼ ezþeh
2�
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiðez�eh
2Þ2 þ c2
zh
q
Fig. 3 Locations of measurement spheres
Acta Geotechnica
123
stresses shz (= szh) in the horizontal plane of the sample.
The axial load W applies the vertical stress rz, and Pi and
Po control the radial and circumferential stresses rr and rh.
Three-dimensional simulations of the HCA that mimic the
physical torsional shear test using the discrete element
method (DEM) are performed on an assemblage of 18,000
rigid spheres. In the DEM technique, the rigid particles do
not deform. The inter-particle forces are calculated from
the particle overlap at the contact point. The actual sizes of
the randomly generated particles are in the range of
0.8–1.2 mm. The specified mechanical properties of the
particle contacts are: normal contact stiffness
kn = 29105 N/m, shear contact stiffness ks = 29105 N/m
and inter-particle friction coefficient l = 0.5. Li et al. [10]
have extensively investigated the parameters in terms of
loading velocity, normal and shear stiffness of particle,
friction coefficient and wall stiffness. The conclusions
drawn from combination of compression and torsion tests
are opposite from that in triaxial stress state: the particle
contact shear stiffness also significantly affects the
mechanical response of the particle assemblage due to
introduction of torque.
Ng [14] has investigated the effects particle shape on
the macro–micro-behavior of granular materials. He
found that particle shape affects the volume change
behavior but not the stress–strain response. Hence,
spherical particles are used in this study for easy inter-
pretation of the results. A hollow cylinder assembly of
spheres with an internal diameter of 60 mm, external
diameter of 100 mm and height of 200 mm is shown
schematically in Fig. 2, and these dimensions are the
same as the physical test. The DEM specimens were
created to a void ratio e = 0.68. The membrane is
simulated by ‘‘20-stacked wall’’ technique (Fig. 2),
Fig. 4 Relationship between the length on the image and the length
on the specimen’s surface
0 10 20 30 40 50 600
500
1000
1500
2000
2500
Dev
iato
r st
ress
, q=
σ 1−σ3 (
kPa)
Principal stress rotation, α (o)
45ο
30ο
pure torsion state
torsional compression stateTriaxial state
α=0ο
Fig. 5 Stress paths followed in monotonic loading test: theoretical
versus results from simulation
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.50
400
800
1200
1600
2000
2400
2800
3200
Str
ess
com
pone
nt (
kPa)
Devitoric strain ε13= ε1−ε 3 (%)
τθz
σθ
σr
σz
(a)
0 500 1000 1500 2000 2500-6
-5
-4
-3
-2
-1
0
1
2
3
4
5
6
Deviatoric stress q=σ1−σ 3 (kPa)
Str
ain
com
pone
nt (
%)
εz
εr
εe
γθz
(b)
Fig. 6 Macroscopic response of a hollow cylinder specimen with a = 0�: a stress components versus deviatoric strain, b strain components
versus deviatoric stress
Acta Geotechnica
123
which can replicate the real condition of the specimen
and appropriately show the microstructure evolution of
the specimen. Li et al. [10] have suggested the optimum
ratio of H/D50 (H is the height of specimen and D50 is
mean diameter of the particles), which indicate how
many walls it needs to be related to mean particle
diameter. The superiority of this technique has been
demonstrated by Zhao and Evans [40]. The details for
the chosen model parameters can be obtained from Li
et al. [10].
In order to simulate the torque applied on the specimen
for the compression torsional state, the angular velocity xis applied to the particles near the top boundary at a certain
value (x = 0.2 rad/s) marked by red ball shown in Fig. 2.
The specimens are first consolidated to equilibrium under a
specified confining pressure applied on boundary through a
servo-control mechanism. Here, the ‘‘consolidated to
equilibrium’’ simply refers to the process of sample crea-
tion and application of the initial confinement before the
specimens were sheared. All displacement (but not forces,
and hence stresses) were zeroed out after ‘‘consolidation’’
before shearing was applied. It is well recognized that the
initial porosity and packing geometry will have consider-
able effects on the ensuing shear behavior. Therefore, a
uniform inter-particle friction coefficient of 0.0 is used in
the initial consolidation stage for all the simulations to
minimize the variation of initial porosity owing to particle
interlocking. Isotropically compressed specimens were
(a) (b)
0.0 0.5 1.0 1.5 2.0 2.5 3.0
0
200
400
600
800
1000
1200
1400
1600
1800
2000S
tres
s co
mpo
nent
(kP
a)
Deviatoric strain ε13= ε1−ε3 (%)
σθ
σr
σz
τθz
0 500 1000 1500 2000
0
10
20
30
40 εz
εr
εe
γθz
Str
ain
com
pone
nt (
%)
Deviatoric stress q=σ1−σ 3 (kPa)
Fig. 7 Macroscopic response of a hollow cylinder specimen with a = 30�: a stress components versus deviatoric strain, b strain components
versus deviatoric stress
0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.20
200
400
600
800
1000
1200
Deviatoric strain ε13=ε1−ε3 (%)
Str
ess
com
pone
nt (
kPa)
τθz
σθ
σr
σz
(a) (b)
0 200 400 600 800
0
10
20
30
40ε
z
εr
εe
γθz
Str
ain
com
pone
nt (
%)
Deviatoric stress σ1−σ 3 (kPa)
Fig. 8 Macroscopic response of a hollow cylinder specimen with a = 45�: a stress components versus deviatoric strain, b strain components
versus deviatoric stress
Acta Geotechnica
123
prepared for subsequent shear deformation at a constant
mean stress of p’ = 1,000 kPa. The values of the assigned
model parameters, other than those directly measured, were
shown to provide realistic macro- and micromechanical
model behavior. Readers are referred to Li et al. [10] for
detailed information on validation of the DEM model.
2.2 Data analysis
The global stress and strain response were determined by
monitoring the loads applied on the boundaries similar to
the real test. Table 1 lists the equations to calculate the four
components of average stresses and strains obtainable from
the measured boundary forces in the HCA test. To
characterize the variability of the stress–strain response in
the sample, ‘‘measuring spheres’’ are placed in different
sampling locations in the specimen. Figure 3 shows the
‘‘measuring spheres’’ located near the top, middle and
bottom to record the stress–strain response, porosity and
coordination number evolution. To visualize the shear band
initiation and formation, a slice of the hollow cylinder with
3 mm thickness is unwrapped as shown in Fig. 4. The
relationship between the length S measured on the speci-
men and the distance L measured on the viewing plane is:
S ¼ Rsin�1 L
R
The shear band indicated by porosity, shear rate contour
and particle rotation are presented below.
Fig. 9 Maximum shear stress c = (r1 - r3)/2 distribution in the
hollow cylinder specimen at failure states a a = 0�; b a = 30�;
c a = 45�
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.51.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5α=0o
α=30o
α=45o
Str
ess
ratio
R=
σ 1/σ3
Deviatoric strain ε13= ε1−ε3 (%)
Fig. 10 Comparisons of stress–strain responses in three typical stress
states. Note The solid lines are measurements in the shear band
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
Vol
umet
ric s
trai
n, ε v (
%)
Deviatoric strain ε13=ε1−ε 3 (%)
0o
30o
45o
Fig. 11 Volumetric behavior of specimen in the different stress states
Acta Geotechnica
123
3 Results and discussion
DEM simulation excels in yielding both micro- and mac-
roscopic data on granular materials, which facilitates the
understanding of granular material behavior from a micro-
mechanical point of view. The following sections focus on
addressing the issues mentioned in the introduction section.
3.1 Macro-response for different stress states
Figure 5 presents comparison between theoretical and
simulated results as an indication of the accuracy of the
control of the principal stress direction a and subsequently
the accuracy of the applied stress paths. It is observed that
a was controlled sufficiently well so as to be consistent
with its prescribed variation during loading. Figures 6, 7,
8a illustrate the variations of the stress components,
including axial stress rz, radial stress rr, circumferential
stress rh and shear stress shz during the tests while shearing
with fixed principal stress directions of a = 0�, 30� and
45�. These stress components are measured from the
boundary loads as in the laboratory test. It is observed that
for a = 0�, the axial stress rz increased with the develop-
ment of strain, while the confining pressure was kept
constant without the torque, which is the loading condition
for triaxial compression test. For a = 30�, torque is intro-
duced. It is observed that the shear stress shz and axial
stress were increasing with the increase in the deviatoric
strain e13 = e1 - e3. The principal stress direction a = 30�is determined by the combination of axial and torsional
loads by using the relationship tan 2a ¼ shz=ðrz � rhÞ. For
a = 45�, the specimen was subjected to changes in cell
pressures and torque only, and no change in axial loading
rz was imposed, which meant the specimen is in pure
torsional shear state. It is observed the shear stress
increased monotonically as the development of strain, and
0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2500
1000
1500
2000
2500
3000
3500
4000
Prin
cipa
l str
ess,
kP
a
Deviatoric strain ε13= ε1−ε3 (%)
σ3-MS2σ1-MS2σ3-MS5σ1-MS5σ3-MS8σ1-MS8σ3-MS11σ1-MS11
α=0ο
0.0 0.5 1.0 1.5 2.0 2.5 3.0200
400
600
800
1000
1200
1400
1600
1800
2000
2200
2400α=45ο
Deviatoric strain ε13= ε1−ε3 (%)
Prin
cipa
l str
ess,
kP
a
σ3-MS11σ1-MS11σ3-MS8σ1-MS8σ3-MS5σ1-MS5σ3-MS2σ1-MS2
(a) (b)
Fig. 12 Stress components from the measuring sphere under different loading directions
0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2-6
-4
-2
0
2
4
6
8
α=0ο
Str
ain
com
pone
nt a
t diff
eren
t dire
ctio
n (%
)
Deviatoric strain ε13= ε1−ε3 (%)
ε3-MS2
ε1-MS2
ε3-MS5
ε1-MS5
ε3-MS8
ε1-MS8
ε3-MS11
ε1-MS11
0.0 0.5 1.0 1.5 2.0 2.5 3.0-50
-40
-30
-20
-10
0
10
20
30
40
Deviatoric strain ε13= ε1-ε3 (%)
α=45ο
Prin
cipa
l str
ain
(%)
ε3-MS11ε1-MS11ε3-MS8ε1-MS8ε3-MS5ε1-MS5ε3-MS2ε1-MS2
(a) (b)
Fig. 13 Strain components from the measuring sphere under different loading directions
Acta Geotechnica
123
the rest of the stresses were kept constant (i.e.,
rr = rh = rz). These three typical stress states are the
most commonly used in HCA testing.
The relationship between strain components and devia-
tor stress q = r1 - r3 are presented in Figs. 6, 7, 8b. The
strain evolution is significantly dependent on the inclina-
tion of principal stress axes during the shearing. The axial
strain ez, circumferential strain eh, radial strain er and shear
strain shz varied along with the deviatoric stress. The radial
strain er and circumferential strain eh were found to be
equal in this series of tests due to the equal inner and outer
cell pressures and horizontal isotropic behavior of the
sample. It is clearly observed that the axial strain ez
decreased with the increase in the principal stress rotation
angle, and the radial strain and circumferential strain
evolved to opposite trend. From a = 0� to a = 30�, the
specimens were compressed along the vertical axis and
expand along the radial direction. When a = 45�, eh and er
were almost equal to zero, and only a small amount of axial
strain was produced until failure. Figure 9 shows the shear
stress of the three different stress states of the hollow
cylinder specimen at failure state. The onset, orientation
and thickness of the shear band will be discussed in next
sections.
Figure 10 illustrates the deviatoric stress versus devia-
toric strain for different principal stress directions mea-
sured inside and outside the shear band. It can be seen that
the mobilized stress ratios are significantly different for the
three typical stress states, with maximum values of 4.0, 3.2
and 2.3. The specimen with a = 0� has the largest shear
strength, while the specimen with a = 45� has the lowest.
This is the result from the combination of inherent and
stress induced anisotropy which is widely discussed in the
literature (e.g., [28, 30]). Firstly, although spherical parti-
cles were used, the initial fabric of the sample was not
necessarily isotropic because of the manner by which the
samples were created and consolidated. Specifically,
gravity was active during the consolidation phase, and
several studies have shown that the effect of gravity during
sample consolidation is to create particle contact normals
that are oriented more in the vertical direction. The samples
were thus inherently anisotropic due to the initially non-
Fig. 14 Porosity evolution versus deviatoric strain for a = 30�
Acta Geotechnica
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uniform arrangements of particle contacts, and the
observed direction-dependent response was due to this
inherent anisotropy. At the same time, the inside and out-
side cell pressures were maintained at the same value in all
tests presented. For this condition, the value of b = (r2 -
r3)/(r1 - r3) is related to the angle a between the vertical
and the direction of major principal stress r1, that is
b = sin(2b). Hence, the observed differences between the
stress–strain relationships of the three cases are partly due
to the variation in b-value as well.
For comparison, the results for a = 0� inside the spec-
imen, where no obvious shear band was observed, are very
similar to the data measured from the boundary, while for
a = 30� and a = 45�, the peak stress ratio in the shear
band is slightly higher than those measured from the
boundary and decrease significantly afterward due to the
shear band initiation and formation. For the volumetric
response (Fig. 11), for the medium dense state, the speci-
men with a = 0� experienced some amount of volumetric
contraction of ev = 0.75 % at the beginning of the shear-
ing, then the sample dilated afterward. For the specimen
with a = 30�, only a very small amount of volumetric
contraction was obtained at the beginning stage of shear-
ing. The specimen with a = 45� dilated immediately
without contraction behavior. It is concluded that the
contraction decreased as the principal stress rotation angle
increased. This is in good agreement with the laboratory
test results [26].
3.2 Strain localization
To explore the strain localization in the hollow cylinder
specimen, Figs. 12 and 13 show the evolutions of the stress
and strain components against deviatoric strain measured
in the measuring spheres MS2, MS5, MS8 and MS11,
which are located in the middle height of the specimen. For
the case a = 0�, although there are some fluctuations for
the axial stress component, the average stress is consistent
with the value measured from the boundary. The evolution
of the strain components for the same measuring spheres
exhibit similarity. As a consequence, it is shown that the
localized response in the measuring sphere is similar to the
global response measured from the boundary condition,
which prove that the mechanical response of specimen in
Fig. 15 Porosity evolution versus deviatoric strain for a = 45�
Acta Geotechnica
123
the triaxial stress state is homogenous. The results also
indicate that stress and strain components in the HCA can
be reliably determined from the boundary loads and dis-
placements for triaxial loading.
To investigate the effects of introducing torque in the
HCA specimen, pure torsional shear (a = 45�) test is
chosen as an example. The stress and strain components
from the measuring sphere are illustrated in Figs. 12, 13b.
It is observed that stress and strain components signifi-
cantly deviate from the average boundary values in MS5
and decrease when deviatoric strain exceeds 0.47 %. This
could be explained that the particle in the MS5 is under-
going shear banding. The evolution of strain components
showed that the localized phenomenon was significant. The
principal strain in MS5 deviates considerably significantly
from the principal stress for deviatoric strain e13 above
1.1 %, which indicates non-coaxiality plastic flow. A
companion paper will discuss this non-coaxiality in-depth.
As a is increased, the stress and strain components deviated
remarkably compared to the results from boundary. This is
mainly due to the localization of the specimen.
To further visualize the spatial distributions of porosity
and shear strain rate in the samples, which are potential
indicators of shear banding initiation and formation,
Figs. 14 and 15 show the contours of porosity at the dif-
ferent levels of deviatoric strain e13. For the case a = 45�in the pure torsional stress state, the porosity contour at
e1–2 = 0.12, 0.30, 0.45, 2.5 % are presented. Porosity
started to localize at the shear strain of e13 = 0.30 % and
localized further afterward. Finally, one dominant then two
minor shear bands were observed. The dominant shear
band from the porosity contour was flatter compared to the
case of a = 30� as shown in Fig. 14. However, the porosity
distribution as a shear band indicator is not sensitive to the
shear band initiation and formation. Saada et al. [25]
indicated that the shear strain rate is a more precise mea-
sure to characterize the shear banding initiation and for-
mation than porosity.
Fig. 16 Shear strain rate versus deviatoric strain for a = 30�
Acta Geotechnica
123
For the sake of a clear representation, Figs. 16 and 17
show the contours of shear strain rate _c ¼ ð _e1 � _e3Þ=2 in
the specimen from the sliced and unwrapped projections of
the HCA. For a = 30� (Fig. 16), the shear band is clearly
observed at the strain of e13 = 0.8 %, while it cannot be
observed in the porosity contour. For the pure rotation case,
the shear band observed from contour of shear rate is
flatter. Hence, it can be concluded that the shear strain rate
is a reliable indicator to characterize shear band initiation
and evolution.
3.3 Microstructure evolution
3.3.1 Porosity evolution
Figure 18 shows the porosity evolution at specified loca-
tions in the sample at different stress states. For a = 0�, it is
shown that the porosity at different locations evolved sim-
ilarly to each other. The evolution of sample microstructure
in the different measuring spheres also proves that the DEM
results are realistic. It is observed that the porosity firstly
decreased due to sample contraction until around ea = 6 %
and increased afterward due to dilation. Finally, failure
occurred accompanied by bulging of the specimen. For
a = 30�, due to the application of torque, it is observed that
the porosity measured from the sampling spheres contracted
initially and then dilated. Specially, for locations MS5 and
MS9, the porosity significantly increased which indicated
these two locations were shear band. For pure torsional
shear, it is shown that the porosity fluctuated except the
porosity of the spheres in the shear band. The porosity of
MS9 increased significantly until a shear strain of
e13 = 1.5 % and thereafter entered a constant value. It is
probable that the particle in this location rotated without
significant displacement. Meanwhile, the porosity of MS5
increased similarly to that observed in the case of a = 30�.
At e13 = 2.0 %, the porosity of MS2 increased signifi-
cantly. This proves that the inclination of shear band for
a = 45� is flatter and twisted since the sudden change of
porosity occurred in the top, middle and bottom zone.
Fig. 17 Shear strain rate versus deviatoric strain for a = 45�
Acta Geotechnica
123
3.3.2 Coordination number
The coordination number cn is an important indicator of
the stability potential of a granular assembly with overall
stability increasing with larger cn [16]. It is equal to the
number of contacts each particle has with other particles,
and it can be monitored at selected measuring spheres in
different loading stages. To further evaluate the micro-
structure evolution of the HCA samples, cn versus axial
strain curves are presented in Fig. 19. Prior to shearing, cn
values of all the measured spheres are close to 6.8. Once
shearing started, cn for different loading directions behave
in their own characteristics as described below.
For the case a = 0�, cn is increasing slightly from 6.8 to
7.0 and subsequently decreasing drastically especially for
MS2 and MS8. It can be recalled from Figs. 11 and 19 that
the specimen contracted first and then dilated. Initially, the
specimen became denser so that cn increased, then at the
certain value of strain, the specimen dilated and cn
decreased. These results are consistent with observations
from the lab tests. For the case a = 30�, cn decreased from
6.4. It is observed that the cn in the sampling volume MS5
inside the shear band experienced drastic decrease from
6.6 to 4.8. For the pure torsional test, since the component
rz was zero, cn decreased not as significantly as for
a = 30�. It should be pointed out that the cn for MS5 and
MS9, both of which were located in the shear band,
decreased from 6.8 to 5.2 and 4.8, respectively. Observed
from the loading at a = 30� and 45�, although the incli-
nation of the shear band is different, the shear bands were
initiated at the same point. Overall, after introduction of
the torque, the shear band initiated and formed. The cn
curves in the shear band decrease significantly and showed
larger fluctuations. Considering that void space inside the
shear band was significantly larger than that inside the
shear block, the particle had more freedom to move inside
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.50.300
0.305
0.310
0.315
0.320
0.325
0.330
0.335
0.340
0.345
0.350
0.355
Deviatoric strain ε13 = ε1−ε3 (%)
Por
osity
var
iatio
nMS1MS2MS3MS4MS5MS6MS7MS8MS9MS10MS11MS12
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.50.34
0.35
0.36
0.37
0.38
0.39
0.40
0.41
0.42
Deviatoric strain ε13 = ε1−ε3 (%)
Por
osity
var
iatio
n
MS1MS2MS3MS4MS5MS6MS7MS8MS9MS10MS11MS12
(a) (b)
0.0 0.5 1.0 1.5 2.0 2.5 3.00.33
0.34
0.35
0.36
0.37
0.38
0.39
0.40
0.41
0.42
0.43
0.44
Deviatoric strain ε13 = ε1−ε3 (%)
Pro
sity
var
iatio
n
MS1MS2MS3MS4MS5MS6MS7MS8MS9MS10MS11MS12
(c)
Fig. 18 Porosity evolution for: a a = 0�, b a = 30�, and c a = 45�
Acta Geotechnica
123
the shear band, and thus, it caused the cn curves to fluc-
tuate substantially.
The shear strength of a granular assemblage is governed
by the stability of the force chains. A decrease in coordi-
nation number reduces the number of force chains, which
may reduce the stability of the force chains and, corre-
spondingly, the shear strength. It could be observed that a
high concentration of the force chains occurs right outside
the shear band but fewer inside, which means the transfer
of load-carrying capacity to fewer force chains inside the
band during shear bands formation. The reduction in
number of force chains is accompanied by the formation
and buckling of column of particles in the shear band.
Several researchers have proved that formation and buck-
ling of such column-like structures. The reduced number of
force chains and the buckling of column of grains lead to
strain softening and the onset of strain localization and
shear band formation [e.g., 1, 2, 14, 20].
3.3.3 Particle rotation
Oda et al. [17] observed that particle rotation is a major
microscopic mechanism which cannot be neglected in the
micromechanics of granular soils. Desrues [4] indicated
that particle rotation should be considered to reasonably
replicate the shear banding formation in lab tests. Bardet
and Proubet [1, 2] showed that particle rotations tend to
concentrate inside the shear band. They found the effects of
particle rotation on the shear band thickness were signifi-
cant. To replicate the microstructure evolution indicated by
particle rotation, this section will address how particle
rotation varies during a different loading conditions and
how it relates to the shear band formation. Particle rotation
is an extra degree of freedom that enhances particle
mobility and has a significant influence on the localized
failure mechanism of idealized granular media as shown by
Oda and Kazama [18], and Iwashita and Oda [8].
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.56.0
6.2
6.4
6.6
6.8
7.0
7.2
7.4
Deviatoric strain ε13 = ε1−ε3 (%)
Coo
rdin
atio
n N
o.,c
n
MS1MS2MS3MS4MS5MS6MS7MS8MS9MS10MS11MS12
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.54.0
4.4
4.8
5.2
5.6
6.0
6.4
6.8
Deviatoric strain ε13= ε1−ε3 (%)
Coo
rdin
atio
n N
o.,c
n
MS1MS2MS3MS4MS5MS6MS7MS8MS9MS10MS11MS12
(a) α=0o (b) α=30o
0.0 0.5 1.0 1.5 2.0 2.5 3.0
4.4
4.8
5.2
5.6
6.0
6.4
6.8
7.2
Deviatoric strain ε13 = ε1−ε3 (%)
Coo
rdin
atio
n N
o.
MS1MS2MS3MS4MS5MS6MS7MS8MS9MS10MS11MS12
(c) α=45o
Fig. 19 Evolution of coordination number cn versus representative strain in different measurement spheres for: a a = 0�, b a = 30�, and
c a = 45�
Acta Geotechnica
123
Figure 20 illustrates particle rotation h in the specimen
with a = 0� at e13 = 0.5, 1.07, 2.5 and 3.0 %. The
amplitude of the particle rotation is evaluated from the
initial particle positions and represented by the color scale.
As shown in Fig. 20, the particle rotations are random near
the boundary at the strain e13 = 0.2 %. As the axial strain
increased, the amplitude of particle rotation also increased.
However, there is no obvious localized particle rotation
observed during the loading, and all of the particle rota-
tions were uniform. The magnitude of particle rotation
during loading is not very large. In the physical test, the
bulging of the specimen is observed in the failure condition
in the triaxial stress state. For a = 30� shown in Fig. 21,
which illustrates the particle rotation h in the specimen at
different shear strain levels, the particle rotation is more
significant due to the torque. With increasing strain, the
particle rotation exhibits some directional tendency and
becomes banded. Afterward, once the band extends all
around the specimen and failure is incipient, the thickness
of the band becomes uniform at around 10 times mean
particle diameter. The evolution of shear band indicated by
the particle rotation distribution is clearly visible. Specifi-
cally, at deviatoric strain of e13 = 0.57 %, the localized
particle rotation is initiated. However, no band was formed.
With increase in the shear strain, the shear band is visually
initiated and evolved afterward. Up to e13 = 2.49 %, there
is one dominant shear band in the specimen without the
restrain of the lateral boundary. This demonstrates that,
during shearing, the particles inside the central shear zone
rotate more significantly (at about 15�) than the particle
outside the band (\2�). Bardet [3] stated that the effects of
particle rotations on the failure of idealized granular
material are significant, which could be considered as a
good indicator of shear band evolution. Recalling the shear
rate contours shown in the Fig. 17, the shear band from
particle rotation is almost coincident with that observed
from shear rate contour.
For the case of pure torsional test shown in Fig. 22,
compared to the compression torsional state, the rotations
of particles were more pronounced. At the deviatoric strain
of e13 = 0.12 %, the particle rotation occurred near the
boundary. At the deviatoric strain of e13 = 0.25 %, the
shear band indicated from the particle rotations is formed
and evolved as characterized by two bands marked by red
in the figure. This demonstrates that during shearing, the
particles inside the shear band rotate more significantly
(about 15�) than the particle outside the band (\2�). Out-
side the shear band, the particle rotation was small. At the
shear strain of e13 = 0.55 %, three dominant bands are
formed. It is observed that the shape of the specimen at the
13=0.5% 13=1.07%
13=2.5% 13=3.0%
Fig. 20 Evolution of particle rotation for a = 0�
Acta Geotechnica
123
end of test is twisted similar to the observation (e.g., [11,
26]). High particle rotations are indicative of strain local-
ization leading to the formation of shear bands.
Li et al. [10] showed the experimental results for the
specimen in the different levels of principal stress rotation.
It is shown that at the failure state of the specimen, the
gridlines marked on the membrane exhibit the twist for the
pure torsion (a = 45�). Compared to a = 30�, the shear
band is flatter with inclination angle dob = 14�. The failure
state of specimen at three typical stress conditions shown in
Li et al. [10] can further prove that the simulations are
reasonable. Table 2 lists the summary of numerical test
results at failure for torsional test. The friction angle,
dilation angle and inclination of shear band are reasonably
in agreement with those from physical tests. The compar-
ison of results shown in Table 2 shows that DEM is an
effective tool to evaluate the macro- and micro- behavior
of sand specimen under complex stress states.
3.4 Thickness and shear band orientation
Ample experimental evidence has demonstrated that the
width of shear bands is related to mean grain size. Roscoe
[22] has shown that the width of the shear band is
approximately 10 times the average grain diameter. Later,
Vardoulakis et al. [33], using X-ray, suggested a shear band
thickness that is approximately 16 times the mean grain
diameter. Oda and Kazama [18] visualized the shape,
thickness and inclination of the shear band. In the present
study, some findings in the numerical simulation reason-
ably support previous published conclusions: a high gra-
dient of particle rotation can be developed within a
relatively narrow zone (Figs. 21, 22), which can be con-
sidered as a criterion to judge the shear band formation.
The thickness of shear band was about 8–10 times the
mean particle size depending on the principal stress rota-
tion. However, the shear band is not uniform and smooth
and extremely large voids were produced in the shear band
from the measuring sphere. From the numerical test, the
thickness of the shear band from high gradient of particle
rotation is around 10 times the mean particle size and
coincident with the observation from the physical test.
Regarding to the inclination of the shear band, Saada
et al. [26] investigated the localization of deformation of
homogeneous sand specimen under complex stress condi-
tions. The initiation and propagation of the shear bands that
developed in the HCA under different principal stress
rotation angles was recorded by digital imaging process.
With variations of a, one or several parallel groups of
surfaces coalesced and resulted in what was referred to as a
dominant shear band. Similarly, Lade et al. [11] discussed
the inclination of shear band theoretically and experimen-
tally. The photographic records of the complete pattern of
shear bands in which the shear band angle with the hori-
zontal was measured directly on the specimen were made
at the end of the shearing test. For a = 30�, one major
shear band and one minor one with inclination angles rel-
ative to horizontal of 24� were clearly observed in the
physical test [26]. This supports the result from numerical
results of dob = 21� shown in Fig. 14. Table 2 summarizes
the theoretical and numerical results for other a-values,
which show that the inclination of shear band from
numerical tests are reasonably in agreement with those
Table 2 Summary of numerical tests results at failure for torsional tests on medium dense assemblage with void ratio 0.68
Test no. Inclination of r1
with vertical, a (�)
b Friction angle,
u (�)
Dilation angle,
w (�)
Inclination of shear band
with horizontal, x (�)
Remarks at
end of tests
1 0 0 35 (35.6) 13 (15.6) – Bulging
2 30 0.25 34 (34.4) 10 (8.8) 24 (26) Shear band
3 45 0.5 33 (31) 9 (9.36) 14 (15.8) Twist
4 60 0.75 32.5 (32) 8.5 (9.2) 0.4 (0.7) Shear band
5 90 1 32 (31.5) 3.0 (4.4) – Necking
Values in the bracket are obtained from physical tests
Fig. 23 Particle rotation distribution for D50 = 0.6 mm (number of
particles = 52,487)
Acta Geotechnica
123
from physical tests. However, the particles used in the
DEM models are coarse relative to the size of the speci-
men. To assess the effect of the particle size on the
thickness of the shear band, a specimen with
D50 = 0.7 mm consisting of 52,784 particles is tested to
observe the effect of particle size on the shear band incli-
nation and thickness. From Fig. 23, it is observed that the
inclination of shear band for both of these cases is almost
the same at around 14�. The thickness of the shear band
observed from the particle rotation distribution is 0.015 m,
which is about 15�D50. For the specimen with smaller
particle sizes, the thickness of the shear band is 0.01 m,
which is also around 15�D50. It is concluded that the effects
of particle size on the shear band inclination and thickness
(as function of D50) almost could be ignored in the
analysis.
4 Conclusions
The behavior of soils under generalized stress conditions
has been a challenging topic.
Constitutive theories for granular media are needed to
model complex stress loading path involving general
changes in the principal stresses and their directions.
Meanwhile, modern testing devices, such as hollow cyl-
inder apparatus, are extremely complicated and the data
obtained are still not reliable. A major problem, with lab-
oratory experiments is the inability to prepare exact repli-
cates of the physical system, a situation that does not occur
in numerical simulations. The results reported in this paper
illustrate that, at least in a qualitative sense, the mechanical
behavior of hollow cylinder specimen in three typical stress
states can be generated by discrete element modeling.
Numerical simulations with DEM can not only monitor the
global mechanical response from boundaries but also be
able to examine the localized response using measuring
scheme at sampling locations in the test specimen, which
may improve the understanding the physics of particle
systems.
The results presented in the paper show that for HCA
specimen in triaxial stress state, the global stress strain
behavior can be considered as the real response observed
from the uniform localized response measured from dif-
ferent locations in the sample despite certain minor devi-
ations. However, after the introduction of the torque, as
principal stress rotation is increased, the response measured
from the boundary is not that inconsistent with the local-
ized response, especially after the strain at which the shear
banding is initiated. Shear band formation was observed
from the shear strain rate, porosity and particle rotation.
Further, the effects of particle size on the thickness and
orientation is examined. It is shown that the particle size
did not affect the orientation. The thickness of the shear
band is related to the D50 of the assembly.
This paper has shown that it is possible to capture using
DEM the essential features of the mechanical behavior of
granular materials under complex stress state. However,
there are still some limitations in this study. The most
important limitation is that spherical particles were adopted
for simplicity which could not consider the effects of
particle shape. One fast way of accounting for non-spher-
ical particles is by the use of rolling resistance. In two-
dimensional DEM, rolling resistance has been shown to
have important effects on the stress–strain and strain
localization behavior of granular assemblies. In three-
dimension, introduction of rolling resistance is more
challenging as this will require the addition of three more
degrees of freedom per particle. Three-dimensional DEM
modeling accounting for rolling resistance will be the
subject of future studies.
Acknowledgments The work reported here is supported by the
National Natural Science Foundation of China (No. 41202186,
11372228), the Zhejiang Natural Science Foundation (No.
LQ12E08007) and partially Ministry of Housing and Urban- Rural
Development of People’s Republic of China (2013-K3-28). The
authors would like to express their appreciation to the financial
assistance.
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