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Numerical Simulation of
Granular Flow
Based on Micropolar Fluid Theory
Shin-Ichiro Serizawa/Tomoyuki Ito ([email protected])
Needs of Granular Flow Analysis
From Natural Phenomena to Industry
Prediction of Natural Phenomena
Landslide
Avalanche
Pyroclastic flow
Industry
Civil Engineering
Agriculture
Pharmacy
Electrophtography
Numerical Analysis Method
Distinct Element Method
Each Particle Interactions are presented by Cundall Model
Cundall, P.A., Strack, O.D.L., A Discrete Numerical Model for Granular Assemblies, Geotechnique, 29-1(1979), 47-65.
DEM Takes Huge Computing Cost.
Ct
Kt Kn
Cn
m
rj
ri
mj
mi
Cundall Model
Description of Granular Flow as the Constitutive Law model is required.
FEM/FDM and etc. can be applied to solve.
Reduction of Computational Cost
Hibler’s Rheology Model
Numerical Model of the Sea Drift Ices
Hibler, W. D., III. A Dynamic Thermodynamic Sea Ice Model, Journal of Physical Oceanography, 9-4 (1979), 815-846.
Viscosity coefficient h
Decided by Principle Strain Speed
If Large then Act as Plastic Flow
Else if then Act as Viscous flow
Mohr-Coulomb Yield Criterion
Internal Friction Angle f 1 2 1 2 sin f
max
1 2
P sinmin ,
fh h
Hibler’s Rheology Model
Governing Equations
Conservation Law
Momentum
Constitutive Equation
ij ij ij kk ij
1P 2
2 h
iji , j
d
dt
vf
k ,k
d0
dt
v
Problems of Hibler’s Rheology Model
The Rotations of Particles are not Considered.
The Grain Size is not Explicitly Described in Constitutive Equation.
Micoropolar Fluid Theory
Microstructure in Continuum
Micro Rotation w
Characteristic Length d
1
11
2
m32
m31
22
w3
d
12
21
3
v1
v2
Micoropolar Fluid Theory
Governing Equations
Conservation of Mass
Momentum
Angular Momentum
Constitutive Equation
Stress
Coupled Stress
iji , j ijk jk i
dI c
dt m
w
iji , j i
d
dt
vf
k ,k
d0
dt
v
ij k ,k ij i , j j ,i c i , j m h w h w h w h w
j ,i i , j
ij k ,k i
j ,i i , j
kj r ijk
v v2
v vP v 2
22h w h
Model Based on Micropolar Fluid Theory
Kanatani, K., A Micropolar Continuum Theory for the Flow of Granular Materials, International Journal of Engineering Science, 17-4, (1979), 419–432.
Mitarai, N. Hayakawa H. and Nakanishi, H., Collisional Granular Flow as a Micropolar Fluid, Phys. Rev. Lett. 88, (2002), 174301.
Extended Hibler Model
Viscosity
Decided by Equivalent Strain Speed
Micro Rotation Viscosity
Angular Viscosity
Pressure Equation
Pressure is Non Negative value
max
P sinmin ,h
fh
1
2ij ij1 2 ij ji 2
ij3 ij
e e e ed k k
2
g gg
1
3ij ij kk ije
r f ( d ) Const.h
2
c
1I
1d
0h h h
max
0
0 00
0
P P
1
3ij ij kk ijk
Smoothed Particle Hydrodynamics
Physics Quantities are expressed by Kernel Function Lucy, L. B., A numerical approach to the testing of the fission
hydrodynamics, Astron., J., 82-12 (1977), 1013- 1024.
Gingold R. A. Monaghan, J. J., Smoothed particle hydrodynamics: Theory and application to non spherical stars, Mon. Not, Roy. Astron. Soc., 181 (1977), 375-389.
Approximation by Kernel Functions
Example by SPH
Schematic of Sand Pile Formation
0
0.1
0.2
0.3
0.4
0.5
0 0.25 0.5 0.75 1
Hie
gh
t (m
)
x (m)
25 particles
50 particles
x
y
xmax
0.0 4.91 (/s) -4.91
0.0 4.91 (/s) -4.91
Result of Extended Hibler Model
Velosity:v
Angular Velosity:w Counter Clockwise No Rotation Clockwise
0.0 0.78 (m/s)
0.0 0.78 (m/s)
Velosity:v
Angular Velosity:w Counter Clockwise No Rotation Clockwise
Internal Friction Angle
Internal Friction Angle and Angle of Repose
0.0
0.1
0.2
0.3
0.4
0.5
0.0 0.2 0.4 0.6 0.8 1.0
70
60
45
30
15
y
x
15f 30f 45f 60f 75f
Characteristic Length and Fluidity
Propagated Front Position
as Index of Fluidity
0.8
0.9
0.9
1.0
1.0
1x10-5
1x10-4
1x10-3
1x10-2
1x10-1
1x100
x max
d
Hibler Model Radius of Kernel Function:h
xmax
Conclusion
The constitutive model of granular flow based on micropolar fluid theory is presented.
Part of granular matter flow with parallel and rotational motion and the other part do not flow.
The proposed model can reproduce sand pile unlike fluid.
Angle of repose depends on internal friction angle of granular matter.
The size of granular matter has an influence on fluidity.