granular mechanics of geomaterials
TRANSCRIPT
1
Granular Mechanics of Geomaterials (presentation in Cassino, Italy, 2006)
Takashi Matsushima University of Tsukuba
2
Where am I from?
3
What is granular mechanics?
Particle characteristics(size, shape, crushability etc.)
Constitutive model as solid or fluid
Particle interaction
Direct simulation(by DEM etc.)
Simulation as continua(by FEM, SPH etc.)
No element test!?
4
Lunar exploration
Mechanical properties of Lunar soil is needed.
But only TWO TC test results is available.
Lunar regolith:very angular well graded sand
Lunar sourcebook, 1991
5
Why granular mechanics?
*TRUE predictionfrom particle informationeg.Mechanics of crushable soilMechanics of unsaturated soilMechanics of cemented soiland more…
*UNIQUE constitutive modelmore convincing, more rational
6
Contents:
1. Theory of granular mechanicsChang and Misra 1990, Matsushima and Chang 2006
2. Micro X-ray CT experimentMatsushima et al. 2002-
3. Image-based DEM simulationMatsushima 2002-
incl. recent application to Lunar explorationMatsushima 2006
7
Basic theoriesMolecular dynamics
Statistical mechanics for molecules(sparse, non-frictional )
Mechanics of solid frictional particlesKinetic theory(sparse→behaves as a fluid)
+
Mechanics of geomaterials(dense →behaves as a solid)
8
stress
strain
contact contactforce, F
displ.
Uniform strain model (Chang and Misra 1990)
→ contact displ.
*Grain rotation coincides with continuum rotation
*Grain controids stick to continuum deformation field
9
Contact displ.→Contact force→Stress
Global →local coordinatesδRδ TL
L
s
n
s
nL
kk
ff
δf
00
Force-displ. relation at contact
LfRf Global local coordinates
δrefl l
c
ttt
R
Tt
V)(1 flσ
Stress Sum of contacts in VR
work at contact = work as continuum
10
Elastic solution
Assumingequal-sized isotropic sphere packing…
sn
nsn kk
kkkVNrE
45)32(
152 2
sn
sn
kkkk
4
)1(43
3 ern
VN
n :coordination number
Overall Young’s modulus and Poisson ratiocan be described by contact stiffness
e-n relation is necessary
11
Elastic solution (continued..)
Applying Hertz-Mindlin contact law… (Johnson,Contact mechanics)
nnnnn kfGrf
3/1
3/2
13
sssn
sns k
ffkf
3/1
tan1
2)1(2
)35(2
3/23/1
0
2
)1()9(
)35(3)45(2
VGNrE
3/10
3/2
)(1
)()1(2
e
enAEG 3/2
33/1
2
)1(43)9(
)2(15)45(2
r
GrA
G is a function ofconfining pressure, 0
and void ratio, e
een 79.163.2)(
Smith et al. (1929) by the combination of closest and loosest packing
12
Elastic solution (continued..)
0.6 0.7 0.8 0.9 1.060000
70000
80000
90000
100000
110000
120000
130000
140000
150000
0=100(kPa)
G
max
(kPa
)
void ratio
Chang (A=280) H-R (B=840) experiment (Kokusho et al.) experiment (Kuribayasi et al.)
2/10
2
)(1
)17.2( eeBG
Cf. Hardin & Richart
13
Elastic solution (continued..)
2/10
2
)(1
)17.2( eeBG
Cf. Hardin & Richart
10 100 100030000
400005000060000700008000090000100000
200000
300000
400000e=0.68
Chang (A=280) H-R (B=840) experiment (Iwasaki et al.)
G
max
(kPa
)
confining pressure (kPa)
14
Elastic solution (continued..)
Note:
A=280 corresponds toG=73(GPa), =0.25 (sand particle as a solid)
Estimation of
is not good.(Further research is necessary.)
15
●Loss of contactis considered by tension-free model
Nonlinear model
●Contact slip (plasticity)
)()()(
snsn
ns fsignffslidingf
elasticff
n
nf
Analytical solution is not available.→A set of branch vectors are assumed
and the solution is obtained numerically.
-1.0 -0.5 0.0 0.5 1.0
-1.0
-0.5
0.0
0.5
1.0
y
x
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Basic response (biaxial compression)
Material does NOT yield!
0.00 0.01 0.020
10
20
30
40
50elastic elastic, no tension
slip plasticity(=0.5)no tension
stre
ss ra
tio
1/3
shear strain, =1-3
0.00 0.01 0.02-0.004
-0.002
0.000
0.002
0.004
0.006
slip plasticity(=0.5)no tension
elastic, no tensionelasticvo
lum
etric
stra
in
v=1+
3
shear strain, =1-3
stress-strain curve dilation curve
17
Basic response (biaxial compression)
Why?Contact of loading direction does NOT slip.
0.0
0.5
1.0
1.5
0
30
6090
120
150
180
210
240270
300
330
0.0
0.5
1.0
1.5
no tension, =0.5
con
tact
nor
mal
forc
e (N
)
Contact normal force distributionslip
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DEM study
0.00 0.02 0.04 0.06 0.08 0.100
2
4
6
8
10
stre
ss ra
tio
1 / 2
maximum shear strain
0.00 0.02 0.04 0.06 0.08 0.10-0.02
-0.01
0.00
0.01
0.02
0.03
0.04
volu
met
ric st
rain
v
maximum shear strain
No grain rotation
grain rotation free
No grain rotation
grain rotation free
periodic boundariesat both directions
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DEM study
Force chainin granular assembly
0.00
0.02
0.04
0.06
0.080
30
60
90
120
150180
210
240
270
300
330
0.00
0.02
0.04
0.06
0.08 c
onta
ct n
orm
al fo
rce
(N)
dense, rotation free
Contact normal forcedistribution
20
Buckling of granular column
・
Assign minimum aspect ratio for contact force distribution
・
Determine average contact force such that the stored energy in contact keeps constant
insufficient confiningpressure
↓buckling
(Matsushima and Chang, 2006)
21
Response of Buckling model
Buckling resistance controls the yield strength
(Matsushima and Chang, 2006)
related to particle properties
22
Possibility of granular mechanics C.E.
Rational incorporation of particle properties(size, shape, stiffness, crushability, contact cement, etc.)
Validation not only with macro responsebut also with particle-level information
Detailed comparison with Particle visualization experimentMore realistic DEM
is needed.
23
Particle visualization by Micro X-ray CT
At University Joseph Fourier, Grenoble, 2002
24
Objective
to obtain 3-D micro properties(grain properties, microstructureand its change due to external loading)of some standard sandswith micro X-ray CT in SPring-8
Typical standard sands:Toyoura sand: D50 =0.167(mm)Ottawa sand: D50 =0.174(mm)Hostun sand: D50 =0.408(mm)S.L.B. sand: D50 =0.681(mm)
(high resolution system is necessary)
25
Micro X-ray CT at Spring-8
Synchrotron(Electron is acceleratedup to 8 GeV)
Storage Ring
The world's largest third-generationsynchrotron radiation facility
26
Experimental roomStorage ring facility
47 beamlines (BL)
X-ray CT is available at BL20B2 and BL47XU.
27
Outline of Spring-8
X-ray comes from here DetectorStage
CCD camera
28
X-raysspecimen
rotation stage
fluorescentscreen
visiblelight
mirror
CCD
Monochromator
X-ray CT system at SPring-8
Resolution:BL20B2: 13 mBL47XU: 1.5 m
29denseToyoura sand
30
dense medium dense loose
Toyoura sand
Example of CT image (BL20B2)
31
Glass beads Hostun sand Ottawa sand
Example of CT image (BL20B2)
32
Ottawa sand Toyoura sand Wakasa sand
Example of CT image (BL47XU)
Lunar soil simulant(FJS-1)
Roundish
very angular
33
Masado (crushable sand) unsaturated condition
Example of CT image (BL47XU)
34
Micro Triaxial test (BL20B2)(1)
specimendiameter 4.3mmheight 10mm
pressure tank
loading motor
specimen
pressure cell
Load cell
membrane4.3mm
35
Micro Triaxial test (BL20B2)(2)
CT scan of initial condition
↓
loading↓
stop loading and CT scan (1.5 hours)
0 5 10 15 20
100
200
300
400
500
600
700
axia
l stre
ss (k
Pa)
axial strain (%)
Toyoura sandconfining pressure=100 (kPa)
dense (eini=0.719) loose (eini=0.984)
stress-strain curve
36
Micro Triaxial test (BL20B2)(3)
Toyoura (medium dense)
void increase within a shear band
37
Micro Triaxial test (BL20B2)(4)
Masado (cruchable sand)0.351-0.64mm(medium dense)
particle crushing is NOT predominant
38
Micro 1-D compression test
0.1 1 1040
30
20
10
0 1-D compressionMasado(0.64-0.90mm)
axia
l stra
in (
%)
axial stress (MPa)
particle crushing after yield stress
39
Processing of CT image
Original image After binarization After pore-filling After 1st erosion
After 2nd erosion After 3rd erosion Cluster labeling Attribution
40
Adequate erosion cycles
0 1 2 3 4 50
1000
2000
3000
4000
5000
6000
7000
8000
glass beads, dense030525d
Toyoura sand, dense030525a
num
ber o
f res
ultn
g cl
uste
rs
number of erosion0 1 2 3 4 5
0
500
1000
1500
2000
2500
3000
3500
glass beads, dense030525d
Toyoura sand, dense030525a
max
imum
equ
ival
ent d
iam
eter
(m
)
number of erosion
0 50 100 150 200 250 3000
500
1000
1500
2000
2500
3000
Toyoura sand, dense030525aafter 3rd erosion
freq
uenc
y
equivalent diameter of cluster (m)0 50 100 150 200 250 300
0
500
1000
1500
2000
2500
3000
Toyoura sand, dense030525aafter 5th erosion
freq
uenc
y
equivalent diameter of cluster (m)
41
Grain identification
3-D image after attribution process
42
Grain identification
Identified Toyoura sand grains
43
Grain size distribution
0 50 100 150 200 250 300 350 4000
20
40
60
80
100
Glass beadsdense
Glass beadsloose
Toyoura sanddense
pe
rcen
t pas
sing
by
wei
ght
Equivalent diameter (m)
44
Contact area and their normals
→ coordination number, fabric tensor, etc.
340360
380400
80
100
120
140
160
360
380400
420
Contact between No.4 and No.25
y
z
x
340360
380400
80
100
120
140
160
360
380400
420
Contact between No.4 and No.5
y
z
x
340360
380400
80
100
120
140
160
360
380400
420
Contact between No.1 and No.4
yz
x
340360
380400
80
100
120
140
160
360
380400
420
Contact between No.4 and No.7
y
z
x
340360
380400
80
100
120
140
160
360
380400
420
Contact between No.4 and No.6
yz
x
45
Coordination number (1)
0 5 10 15 200
5
10
15
20
25
30
35
40
45
8.51
an030525a-3Toyoura sanddense(n=0.409)
freq
uenc
y (%
)
coordination number, NC
0 5 10 15 200
5
10
15
20
25
30
35
40
45Smith et al.(1929)lead ballsloose(n=0.447)
6.89
7.18
at030525e-3glass beadsloose (n=0.451)
freq
uenc
y (%
)
coordination number, NC
like a normal distribution
46
Coordination number (2)
0.3 0.4 0.55
6
7
8
9
10
11
12
Smith et al.(1929)
Toyoura sanddense
Glass beadsloose
Glass beadsdense
cood
inat
ion
num
ber
NC
porosity n
1
een
47
Next step
*Detection of each grain motion (translation and rotation) (Chang, Matsushima, Lee, J. Eng. Mech. ASCE, 2002.)
*Detection of grain crushing
48
Image-based DEM
49
Background
* Rapid increase of computer abilities→DEM simulations with large number of grains
* For quantitative discussion…→Precise modeling of grains
(contact model, grain shape, crushability, etc.)is necessary.
This study deals withGRAIN SHAPE MODELING
50
Image-based modeling (Matsushima and Saomoto 2002)
Irregular grain shape is described by a rigid connection of elements (circles or spheres)
To find an optimum positionsand radii of the elements…
time marching computation(Dynamic optimization)
Each element moves and expands (or shrink)to get a better fitting to the target grain shape
51
Dynamic Optimization algorithm
Each surface point of a target grain gives an attraction to the closest element
which directs from the centroid of the element to the surface point
and its magnitude is proportional to the distance.
52
2D example (1)
Ottawa sand (sub-rounded)
Toyoura sand (sub-angular)Grain density 2.64(g/cm2)Spring constant
(normal)
1.0e9 (g/s2)(tangential)
2.5e8 (g/s2)
Damping coefficient(normal)
2.0e2 (g/s)
(tangential)
1.0e2 (g/s)Friction coefficient between grains
27 (deg.)Time increment 2.5e-8 (sec.)
0.01 0.1 10
20
40
60
80
100 Toyoura Ottawa
perc
ent p
assi
ng b
y w
eigh
t
Diameter (mm)
53
2D example (2)
200 grains (Each grain is modeled with 10 elements)Periodic boundary at both sidesConstant confining pressure(10kN/m),Lateral displacement is imposed at the bottom grains
54
2D example (3)
0.00 0.05 0.10 0.15 0.20 0.25 0.300
10
20
30
40
simple shear test with 200 grains (eini=0.20)
Toyoura
Ottawa
Circles
m
obili
zed
fric
tion
angl
e
mob
(de
g.)
shear strain
Dense specimen (eini
=0.20)
Toyoura>Ottawa>Circles for peak strength
55
2D example (4)
0.10 0.15 0.20 0.25 0.3010
15
20
25
30
35
40
45
Toyoura Ottawa Circles
peak
fric
tion
angl
e
peak
(de
g.)
initial void ratio eini
Peak strengths with different initial void ratio
The modeling is verified qualitatively.
56
2D example (5)Granular column structure during shear
Two grains are in contact with plural pointsMoment transmission Higher strength
57
3D example: Toyoura sand (1)
X-ray CT result 3D modeling
Toyoura sand model
58
3D example: Toyoura sand (2)
0.1 10
20
40
60
80
100
DEM model CT data
for 400 grains
perc
ent p
assi
ng b
y w
eigh
t
grain diameter (mm)
Grain size distribution:DEM model = original CT data Simple shear simulation
59
3D example: Toyoura sand (3)
0.0 0.1 0.2 0.30.0
0.2
0.4
0.6
0.8
1.0
1.2
TSS test (n=100 (kPa)(Pradhan et al. 1988)
eini=0.659 eini=0.793
eini=0.763
=20 (deg.)
eini=0.672
stre
ss ra
tio ( /
n )
shear strain 0.0 0.1 0.2 0.3
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
eini=0.763
eini=0.672
=20 (deg.)TSS test (n=100 (kPa)
(Pradhan et al. 1988) eini=0.659 eini=0.793
volu
met
ric st
rain
d
shear strain
Quantitative agreement with experimentif inter-particle friction angle=20(deg.)
Stress-strain curve dilation curve
Matsushima 2004
60
3D example: Toyoura sand (4)
0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.9020
25
30
35
40
45
50
DEM (spheres)=27 (deg.)
TSS test (Toyoura sand)(n=100 (kPa)(Pradhan et al. 1988)
Toyoura sand DEM=27 (deg.)Toyoura sand
DEM=20 (deg.)
in
tern
al fr
ictio
n an
gle
d
initial void ratio eini
Peak strength for various void ratio
61
Lunar soil simulant (1)
w=1.0mm d=0.2mm
h=1.1mm
600 grains (10-spheres model)are fell down into a vessel
Periodic boundary in y-direction
Bottom grains are fixed into the bottom plate
Remove the right side wall
62
63
Effect of grain hardness Effect of damping
0.0 0.2 0.4 0.6 0.8 1.0
30
40
50
1-element model
10-elements model
angl
e of
repo
se (d
eg)
restitution coefficient0.0 0.5 1.0 1.5 2.0
30
40
50
1-element model
ks=kn/4
exp. glass beads
exp. FJS-1
10-elements model
an
gle
of re
pose
(deg
)
kn (*1e4)
0 10 20 30 40
20
30
40
50
1-element model10-elements model
angl
e of
repo
se (d
eg)
inter-particle friction angle(deg)effect of interparticle friction
Lunar soil simulant(3): Parametric study
64
2-elements model
3-elements model
4-elements model
7-elements model
Lunar soil simulant(4): model accuracy
65
Lunar soil simulant(5): model accuracy
0 2 4 6 8 10
30
40
50
exp (FJS-1)
exp (glass beads)
an
gle
of re
pose
(deg
)
number of spheres
66
Particle shape effect: The mechanism
Contact force chain
Plural contact points between two grains→ rolling resistance
Matsushima, P&G2005
→ overall shape is important
67
Conclusions
Application of Granular Mechanics into geomaterials has been tried for decades.
Some breakthrough has been found recently(in my opinion).
Recent progress of various technologies makes it push forward.
68
References
Chang, C.-S. and Misra, A. 1990a. Application of uniform strain theory to heterogeneous granular solids, J. Eng. Mech., ASCE, 116, 10, 2310-2329. Chang, C.-S. and Misra, A. 1990b. Packing structure and me-chanical properties of granulates, J. Eng. Mech., ASCE, 116, 5, 1077-1093. Smith, W.O., Foote, P.D., Busang, P.F. 1929. Packing of ho-mogeneous spheres, Physical Review, 34, 1271-1274. Heiken, G.H., Vaniman, D.T., French, B.M. editors (1991). Lunar Sourcebook, Cambridge University Press, 1991. Matsushima, T. and Chang, C-S. 2006. Proc. IS-Yamaguchi, (submitted). Matsushima, T. and Saomoto, H. (2002). Discrete element modeling for irregularly-shaped sand grains, Proc. NUMGE2002: Numerical Methods in Geotechnical Engineering, Mestat (ed.), 239-246. Matsushima, T. (2004). 3-D Image-based Discrete Element Modeling for Irregularly-Shaped Grains, Proc. 2nd International PFC Symposium.
69
References
Matsushima, T., Saomoto, H., Uesugi, K., Tsuchiyama, A. and Nakano, T. (2004). Detection of 3-D irregular grain shape of Toyoura sand at SPring-8, X-ray CT for geomaterials: Proc. International workshop on X-ray CT for geomaterials (Otani and Obara eds.), Balkema, 121-126. Chang, C.-S., Matsushima, T., Lee, X.: Heterogeneous Strain and Bonded Granular Structure Change in Triaxial Specimen Studied by Computer Tomography, Journal of Engineering Mechanics, ASCE. Vol. 129, Issue 11, pp.1295-1307, 2003. Matsushima, T. et al. (2006.3) Image-based modeling of Lunar soil simulant for 3- D DEM simulations, Earth & Space 2006 (CD-ROM). (to be submitted to J. Aerospace Eng., ASCE). Matsushima, T. (2005) Effect of irregular grain shape on quasi-static shear behavior of granular assembly, Proc. Powders & Grains 2005.