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Computational modeling
of material failure
Nguyễn Vĩnh Phú*

in collaboration with

Stéphane Bordas, Oriol Lloberas-Valls, 

Amin Karamnejad, Erik Lingen, Martijn Stroeven, Bert Sluys

*School of Civil, Environmental & Mining Engineering

University of Adelaide
Outline
• Computational models for fracture

- Continuum mechanics: LEFM, Cohesive zone models

- Peridynamics

- Continuous/discontinuous description of failure

(Damage models, XFEM, interface elements)
• Multiscale modeling of fracture

- Hierarchical, semi-concurrent and concurrent methods

- Computational homogenization models for fracture
• Image-based modeling

- Conforming mesh methods

- Level Set/XFEM, Finite Cell Method (non-conforming)

-Voxel based methods

2
Continuum mechanics theories
Fracture Mechanics
Damage Mechanics
+
spatial derivatives of displacements:
do not exist at discontinuities (cracks)
Cauchy, Euler, Lagrange…
ij,j + ⇢bi = ⇢¨ui
PDE
Hx
x0
No spatial derivatives of displacements
Peridynamics
S. Silling 2000
Peridynamics is a formulation of continuum mechanics
that is oriented toward deformations with discontinuities,
especially fractures.
Integral equation
3
✏ij =
1
2
(ui,j + uj,i)
ij = Cijkl✏kl
Continuous/discontinuous
description of fracture
Fracture MechanicsDamage Mechanics
LEFM, EPFM, CZMIsotropic damage models
Softening plasticity models
Damage-plastic models 4
strong discontinuityweak discontinuity
Fracture mechanics models
Linear Elastic Fracture
Mechanics (LEFM):
- brittle materials
- ductile materials under
Small ScaleYielding (SSY) condition
- an existing crack is required
Elastic Plastic Fracture Mechanics
(EPFM):
- ductile materials
- an existing crack is required
crack tip
R ⌧ D
Cohesive Zone Models (CZMs):
- quasi-brittle materials (concrete)
- ductile materials
- no existing crack is needed
5
Linear Elastic Fracture
Mechanics (LEFM)
Barsoum element [1970s]
Remeshing is a key point.
1
p
r
da
dN
= C( K)m
Very useful for fatigue life
estimation
ij =
K
p
2⇡r
fij(✓) + H.O.T
SIF
6
crack tip
crack edge
double nodes
crack must locate on element edges
Cohesive Zone Models
(CZMs)
7
separation
Constitutive equations
deformation
t
ft
GIc
0
ft tensile strength
GIc fracture energy
[Extrinsic] Cohesive law
[Initially rigid] TSL
(Traction Separation Law)
max
1 ft
crack initiation
Barrenblatt 1962
Dugdale 1960
Hilleborg, 1976
crack direction
criterion
Cohesive crack model
separation
Constitutive equations
deformation
Governing equations
(strong form)
8
Cohesive crack model
Weak form
new term
where
9
different techniques
Crack discretization techniques
Zero-thickness interface elements, 1968 PUM FEM, 1999
Meshless/Meshfree methods,
1994
Embedded strong discontinuity, 1987
Interface elements
composite delamination
(+) easy to implement 2D/3D
(+) available in ABAQUS, LD-DYNA
intrinsic
cohesive law
u+
, u [[u]] ⌧
11
- preprocessing: GMSH
- solver: jem/jive (C++)
Interface elements
inter-granular fracture of polycrystalline material
12
failure of a fiber reinforced composite
Interface elements with discontinuous Galerkin
13
Partition of Unity Methods
uh
(x) =
X
I2S
NI(x)uI
X
J
NJ (x) = 1
X
J
NJ (x) (x) = (x)
14
(PUM)
Melenk and
Babuska 1996
+
X
J2Sc
NJ (x) (x)aJ
Sum of shape functions is equal to one
ui =
K
2µ
r
r
2⇡
fij(✓)
Approximation of the displacement field
Jr ✓
Extended FEM (XFEM)
+
X
K2St
NK(x)
4X
↵=1
B↵b↵
K
!
uh
(x) =
X
I2S
NI(x)uI
+
X
J2Sc
NJ (x)H(x)aJ
for LEFM
[B↵] =

p
r sin
✓
2
,
p
r cos
✓
2
,
p
r sin
✓
2
sin ✓,
p
r cos
✓
2
sin ✓
H(x) =
⇢
+1 if (x x⇤
) · n 0
1 otherwise
Enrichment functions
15
Belytschko et al., 1999
Sc
St
nothing but an instance of
PUM for crack problems
Sub-triangulation for numerical integration
Homogeneous LEFM
Interfacial
LEFM
16
two cracks
Matlab code
XFEM for cohesive cracks
Sc
No good crack tip solution is known, no
tip enrichment!!!
Wells, Sluys, 2001
not enriched to ensure zero
crack tip opening!!!
17numerical integration
˙ = D˙✏
˙t = T ˙[[u]]
uh
(x) =
X
I2S
NI(x)uI +
X
J2Sc
NJ (x)H(x)aJ
H(x) =
⇢
+1 if (x x⇤
) · n 0
1 otherwise
18
XFEM/Cohesive zones
Size effect
M. Duflot
F.P. van der Mer,TU Delft
19
… convincing examples
Northwestern Univ.
XFEM for material interfaces
level set representation
signed distance functionabs-enrichment function
uh
(x) =
X
I2S
NI(x)uI +
X
J2Sc
NJ (x) (x)aJ
,x
across interface, strain field is discontinuous
x
20
xc
rc
Sukumar et al. 2002
(x) = NI(x) I
= ||x xc|| rc
min max < 0Sc
trabecular bone, PhD thesis,Tran, NUS
hole
holes=extremely soft inclusions
21
Continuum damage mechanics
A = ¯ ¯A
Hook’s law:
=
¯A
A
¯ = (1 !)¯, ! = 1
¯A
A
¯ = E"
= (1 !)E"
nominal stress
effective stress¯
A
¯A
22
Kachanov, 1958, Rabotnov 1969, Hult 1979
damage variable
0  !  1
CDM is a constitutive theory that describes the progressive loss of
material integrity due to the initiation, coalescence and propagation
of microcracks, microvoids etc.These changes in the microstructure lead
to the degradation of the material stiffness at the macroscale.
[M. Jirasek]
= (1 !)E"
damage variable
Local damage model
= (1 !)C✏
! = f(✏eq)
✏eq = g(✏)
Isotropic damage model
! =
8
><
>:
0 if  < i
1 i

c 
c i
if i    c
1 if  > c
C : elasticity tensor
: equivalent strain [-]✏eq
 = max ✏eq
Damage evolution law
Irreversibility of failure
✏
i c
linear softening
✏eq =
v
u
u
t
3X
i=1
h✏ii2Tensile failure
[Mazars]
(1 !)E
stress update: explicit and simple
E
Local damage model
No energy dissipation !!!
In the early 1980s it was found that FE solutions of softening
damage do not converge upon mesh refinement, Z. Bazant, 1984.
Softening plastic models: also suffer from mesh sensitivity.
Isotropic damage model
= (1 !)C✏
! = f(✏eq)
✏eq = g(✏)
Nonlocal damage model
25
SEN beam
l is the length scale
0  !  1
Cabot and Bazant, 1987
l
= (1 !)C✏
! = f(¯✏eq)
↵(r) = exp
✓
r2
2l2
◆
¯✏eq(x) =
Z
⌦
↵(x ⇠)✏eq(⇠)d⇠ nonlocal
eqv. strain?
Gradient damage model
nodal unknowns: displacements
and nonlocal equivalent strain
0  !  1
= (1 !)C✏
! = f(¯✏eq)
↵(r) = exp
✓
r2
2l2
◆
¯✏eq(x) =
Z
⌦
↵(x ⇠)✏eq(⇠)d⇠
c =
l2
2
= (1 !)C✏
! = f(¯✏eq)
¯✏eq cr2
¯✏eq = ✏eq
Peerlings et al., 1996
Implicit GD modelMicroplane
Damage Models
(Z. Bazant)
˙ = (1 !)C˙✏ C✏ ˙!
secant matrix
Continuous vs. discontinuous description
27
+ easy to implement (2D/3D)
+ one single constitutive law
+ standard elements
- incorrect final stage of failure
- evolving length scale
- hard to implement (3D)
- two separate constitutive laws
- enriched elements
+ correct final stage of failure
bests of both worlds: combined
continuous-discontinuous approaches
(Dr. Nguyen Dinh Giang, Univ. Sydney)
Solution strategies
28
F
u
snap-through
snap-back
For a quasi-static analysis of softening solids,
one encounters cases...
F
u
?: divergence occurs
load control
F
disp control ?: divergence
uIncremental-iterative procedure
Path-following methods
29
Newton-Raphson
fext
= g
where
uI = K 1
r, uII = K 1
g
arc-length/constraint function(u, )
correction
Riks 1972 load factor
reference load vector
Energy control
30
V =
1
2
Z
⌦
✏T
=
1
2
Z
⌦
aT
BT
=
1
2
aT
fint
=
1
2
aT
g
˙V ˙aT
gEnergy release rate
Gutierrez 2004 equilibrium
fint
=
Z
⌦
BT✏ = Ba
Arc-length function
forward Euler
predefined amount of energy
to be released [Nm]
G > 0
Energy based arc-length control
31
0
10
20
30
40
50
0 5 10 15 20 25 30 35
reaction[N]
2u [mm]
32
F.P. van der Mer

EFM, 2008
… and here we are
complex failure mechanism in composites
- matrix cracking
- delamination of plies
[±45o
]
Peridynamics
33
XFEM can do this as well but would
require genius programmers (2D)
See phase field models for similar
capacities
S. Silling 2000
crack branching
continuum version of MD (molecular dynamics)
Bobaru, 2010
glass
time integration:Verlet integration
Multiscale methods
34
multiple length scales
Multiscale models:
- better constitutive models
- design new materials
Classification
h i = C : h✏i
hierarchical methods semi-concurrent concurrent methods
After Ted Belytschko ARLEQUIN method
pile installation
Wriggers,2011
Arlequin method
36
[H. Ben Dhia, 1998]
2D/1D FEM
3D/2D FEM
- partition of unity for energy in gluing zone
- Lagrange multipliers to glue two models
↵M
+ ↵m
= 1
a multi-scale/multi-model method
Mortar Method
37 work in progress
FEMArlequin
Heterogeneous materials
38
macroscopic behavior depends on
- size, shape
- spatial distribution
- volume fraction
- mechanical properties
of the constituents.
macroscopically homogeneous but microscopically heterogeneous
= f(✏, ↵)
phenomenological
constitutive models
two many params
the identification of these parameters is generally difficult
Direct Numerical
Simulation (DNS)
39
Unger, Eckard, 2011
44 cm
1 100 000 degrees of freedom
Due to the high numerical effort and memory demand of
DNS, it is, in general, not possible to simulate the full
structure on the micro-/meso-scale with the computational
power available nowadays
Homogenization
40
Homogenization = replace a heterogeneous material with an
equivalent homogeneous material.
RVE=RepresentativeVolume Element
separation of scales
Voigt, 1910

Reuss 1929

Hill 1965
Homogenization
41
h i =
1
|⌦m|
Z
⌦m
md⌦
h✏i =
1
|⌦m|
Z
⌦m
✏md⌦
1 FEM
2
C effective properties
h i = C : h✏i
bottom-up approach
RVE
+ simple, efficient
- restricted to an assumed macro constitutive model
- linear elasticity, hyperelasticity, simple plasticity
6 independent loads are needed to determine 36 constants
Artificial microstructures
42
F. Fritzen 2010
Statistically equivalent to real microstructures
Easy to discretized into finite elements
Build tailor made materials
Real microstructures: hard to obtain and not meshable
Computational Homogenization
43
FE2 method
[Renard, 1987, Smit 1998,
F. Feyel, 2000]
Micro problems are solved in parallel
+ nonlinear, large deformation
- computationally expensive
- 2D problems at laboratory scale
- not always robust!!!
sigma
Troubles with softening RVEs
44
- RVE does not exist for softening materials
- CH cannot be applied for softening materials
meso-structure of concrete
strain localization
Failure zone averaging
45
Nguyen et al, 2010
46
RVE does exist for softening materials by
using the failure zone averaging technique
Discontinuous CH model
47
MACRO MICRO
Nguyen et al, 2011
discrete crack
localization
band
Example
48
DNS
RVECH
Dynamic discontinuous
CH model
49
Vo
- macro: implicit dynamics
- micro: quasi-static
A. Karamnejad,
Nguyen, Sluys, 2012
More information
50
Image-based modeling
51
Traditional FE analysis
52
Geometry
(CAD)
Mesh FE solver
53
There are many cases in which such CAD geometries
are not available. However, image data are so ready:
medicine, material sciences...
Simpleware
See also the FREE program OOF2, NIST, USA
(1) Industry
voxel based method
each voxel = one finite element
zig-zag boundary
- incorrect volume fraction
- images with high resolution are required
- too large problem size!!!
microstructure of cement paste
P. Wriggers
54
(2) universities
Level set/XFEM
55
Finite Cell Method (FCM) (Fictitious Domain Methods)
Tools
• Preprocessing: GMSH, GID, ANSYS,ABAQUS
• Solvers: 

- FEM: FEAP, OOFEM, libMesh, KRATOS, Code Aster,
TRILINOS, PERMIX, OpenSees (earthquake, structures)

- DEM: LAMMPS, KRATOS,YADE… 

- CFD: OpenFoam, KRATOS… 

- PD: LAMMPS
• Postprocessing: GMSH, PARAVIEW, MATLAB,TECPLOT
56
Matlab is not enough. Consider Fortran, C++, Python.
Move to Ubuntu Linux to make your programming life much easier.
OpenMPI
ParMETIS
domain decomposition
trilinos.sandia.gov/
Prof. L.J. Sluys
Prof. S. Bordas
Dr. M. Stroeven
Dr. O. LloberasValls
A. Karamnejad Dr. E. Lingen
Habanera develops jem/jive C++ library
Thank you for
your attention

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Computational fracture mechanics

  • 1. Computational modeling of material failure Nguyễn Vĩnh Phú* in collaboration with Stéphane Bordas, Oriol Lloberas-Valls, Amin Karamnejad, Erik Lingen, Martijn Stroeven, Bert Sluys *School of Civil, Environmental & Mining Engineering University of Adelaide
  • 2. Outline • Computational models for fracture
 - Continuum mechanics: LEFM, Cohesive zone models
 - Peridynamics
 - Continuous/discontinuous description of failure
 (Damage models, XFEM, interface elements) • Multiscale modeling of fracture
 - Hierarchical, semi-concurrent and concurrent methods
 - Computational homogenization models for fracture • Image-based modeling
 - Conforming mesh methods
 - Level Set/XFEM, Finite Cell Method (non-conforming)
 -Voxel based methods
 2
  • 3. Continuum mechanics theories Fracture Mechanics Damage Mechanics + spatial derivatives of displacements: do not exist at discontinuities (cracks) Cauchy, Euler, Lagrange… ij,j + ⇢bi = ⇢¨ui PDE Hx x0 No spatial derivatives of displacements Peridynamics S. Silling 2000 Peridynamics is a formulation of continuum mechanics that is oriented toward deformations with discontinuities, especially fractures. Integral equation 3 ✏ij = 1 2 (ui,j + uj,i) ij = Cijkl✏kl
  • 4. Continuous/discontinuous description of fracture Fracture MechanicsDamage Mechanics LEFM, EPFM, CZMIsotropic damage models Softening plasticity models Damage-plastic models 4 strong discontinuityweak discontinuity
  • 5. Fracture mechanics models Linear Elastic Fracture Mechanics (LEFM): - brittle materials - ductile materials under Small ScaleYielding (SSY) condition - an existing crack is required Elastic Plastic Fracture Mechanics (EPFM): - ductile materials - an existing crack is required crack tip R ⌧ D Cohesive Zone Models (CZMs): - quasi-brittle materials (concrete) - ductile materials - no existing crack is needed 5
  • 6. Linear Elastic Fracture Mechanics (LEFM) Barsoum element [1970s] Remeshing is a key point. 1 p r da dN = C( K)m Very useful for fatigue life estimation ij = K p 2⇡r fij(✓) + H.O.T SIF 6 crack tip crack edge double nodes crack must locate on element edges
  • 7. Cohesive Zone Models (CZMs) 7 separation Constitutive equations deformation t ft GIc 0 ft tensile strength GIc fracture energy [Extrinsic] Cohesive law [Initially rigid] TSL (Traction Separation Law) max 1 ft crack initiation Barrenblatt 1962 Dugdale 1960 Hilleborg, 1976 crack direction criterion
  • 8. Cohesive crack model separation Constitutive equations deformation Governing equations (strong form) 8
  • 9. Cohesive crack model Weak form new term where 9 different techniques
  • 10. Crack discretization techniques Zero-thickness interface elements, 1968 PUM FEM, 1999 Meshless/Meshfree methods, 1994 Embedded strong discontinuity, 1987
  • 11. Interface elements composite delamination (+) easy to implement 2D/3D (+) available in ABAQUS, LD-DYNA intrinsic cohesive law u+ , u [[u]] ⌧ 11 - preprocessing: GMSH - solver: jem/jive (C++)
  • 12. Interface elements inter-granular fracture of polycrystalline material 12 failure of a fiber reinforced composite
  • 13. Interface elements with discontinuous Galerkin 13
  • 14. Partition of Unity Methods uh (x) = X I2S NI(x)uI X J NJ (x) = 1 X J NJ (x) (x) = (x) 14 (PUM) Melenk and Babuska 1996 + X J2Sc NJ (x) (x)aJ Sum of shape functions is equal to one ui = K 2µ r r 2⇡ fij(✓) Approximation of the displacement field Jr ✓
  • 15. Extended FEM (XFEM) + X K2St NK(x) 4X ↵=1 B↵b↵ K ! uh (x) = X I2S NI(x)uI + X J2Sc NJ (x)H(x)aJ for LEFM [B↵] =  p r sin ✓ 2 , p r cos ✓ 2 , p r sin ✓ 2 sin ✓, p r cos ✓ 2 sin ✓ H(x) = ⇢ +1 if (x x⇤ ) · n 0 1 otherwise Enrichment functions 15 Belytschko et al., 1999 Sc St nothing but an instance of PUM for crack problems
  • 16. Sub-triangulation for numerical integration Homogeneous LEFM Interfacial LEFM 16 two cracks Matlab code
  • 17. XFEM for cohesive cracks Sc No good crack tip solution is known, no tip enrichment!!! Wells, Sluys, 2001 not enriched to ensure zero crack tip opening!!! 17numerical integration ˙ = D˙✏ ˙t = T ˙[[u]] uh (x) = X I2S NI(x)uI + X J2Sc NJ (x)H(x)aJ H(x) = ⇢ +1 if (x x⇤ ) · n 0 1 otherwise
  • 19. M. Duflot F.P. van der Mer,TU Delft 19 … convincing examples Northwestern Univ.
  • 20. XFEM for material interfaces level set representation signed distance functionabs-enrichment function uh (x) = X I2S NI(x)uI + X J2Sc NJ (x) (x)aJ ,x across interface, strain field is discontinuous x 20 xc rc Sukumar et al. 2002 (x) = NI(x) I = ||x xc|| rc min max < 0Sc
  • 21. trabecular bone, PhD thesis,Tran, NUS hole holes=extremely soft inclusions 21
  • 22. Continuum damage mechanics A = ¯ ¯A Hook’s law: = ¯A A ¯ = (1 !)¯, ! = 1 ¯A A ¯ = E" = (1 !)E" nominal stress effective stress¯ A ¯A 22 Kachanov, 1958, Rabotnov 1969, Hult 1979 damage variable 0  !  1 CDM is a constitutive theory that describes the progressive loss of material integrity due to the initiation, coalescence and propagation of microcracks, microvoids etc.These changes in the microstructure lead to the degradation of the material stiffness at the macroscale. [M. Jirasek] = (1 !)E" damage variable
  • 23. Local damage model = (1 !)C✏ ! = f(✏eq) ✏eq = g(✏) Isotropic damage model ! = 8 >< >: 0 if  < i 1 i  c  c i if i    c 1 if  > c C : elasticity tensor : equivalent strain [-]✏eq  = max ✏eq Damage evolution law Irreversibility of failure ✏ i c linear softening ✏eq = v u u t 3X i=1 h✏ii2Tensile failure [Mazars] (1 !)E stress update: explicit and simple E
  • 24. Local damage model No energy dissipation !!! In the early 1980s it was found that FE solutions of softening damage do not converge upon mesh refinement, Z. Bazant, 1984. Softening plastic models: also suffer from mesh sensitivity. Isotropic damage model = (1 !)C✏ ! = f(✏eq) ✏eq = g(✏)
  • 25. Nonlocal damage model 25 SEN beam l is the length scale 0  !  1 Cabot and Bazant, 1987 l = (1 !)C✏ ! = f(¯✏eq) ↵(r) = exp ✓ r2 2l2 ◆ ¯✏eq(x) = Z ⌦ ↵(x ⇠)✏eq(⇠)d⇠ nonlocal eqv. strain?
  • 26. Gradient damage model nodal unknowns: displacements and nonlocal equivalent strain 0  !  1 = (1 !)C✏ ! = f(¯✏eq) ↵(r) = exp ✓ r2 2l2 ◆ ¯✏eq(x) = Z ⌦ ↵(x ⇠)✏eq(⇠)d⇠ c = l2 2 = (1 !)C✏ ! = f(¯✏eq) ¯✏eq cr2 ¯✏eq = ✏eq Peerlings et al., 1996 Implicit GD modelMicroplane Damage Models (Z. Bazant) ˙ = (1 !)C˙✏ C✏ ˙! secant matrix
  • 27. Continuous vs. discontinuous description 27 + easy to implement (2D/3D) + one single constitutive law + standard elements - incorrect final stage of failure - evolving length scale - hard to implement (3D) - two separate constitutive laws - enriched elements + correct final stage of failure bests of both worlds: combined continuous-discontinuous approaches (Dr. Nguyen Dinh Giang, Univ. Sydney)
  • 28. Solution strategies 28 F u snap-through snap-back For a quasi-static analysis of softening solids, one encounters cases... F u ?: divergence occurs load control F disp control ?: divergence uIncremental-iterative procedure
  • 29. Path-following methods 29 Newton-Raphson fext = g where uI = K 1 r, uII = K 1 g arc-length/constraint function(u, ) correction Riks 1972 load factor reference load vector
  • 30. Energy control 30 V = 1 2 Z ⌦ ✏T = 1 2 Z ⌦ aT BT = 1 2 aT fint = 1 2 aT g ˙V ˙aT gEnergy release rate Gutierrez 2004 equilibrium fint = Z ⌦ BT✏ = Ba Arc-length function forward Euler predefined amount of energy to be released [Nm] G > 0
  • 31. Energy based arc-length control 31 0 10 20 30 40 50 0 5 10 15 20 25 30 35 reaction[N] 2u [mm]
  • 32. 32 F.P. van der Mer EFM, 2008 … and here we are complex failure mechanism in composites - matrix cracking - delamination of plies [±45o ]
  • 33. Peridynamics 33 XFEM can do this as well but would require genius programmers (2D) See phase field models for similar capacities S. Silling 2000 crack branching continuum version of MD (molecular dynamics) Bobaru, 2010 glass time integration:Verlet integration
  • 34. Multiscale methods 34 multiple length scales Multiscale models: - better constitutive models - design new materials
  • 35. Classification h i = C : h✏i hierarchical methods semi-concurrent concurrent methods After Ted Belytschko ARLEQUIN method pile installation Wriggers,2011
  • 36. Arlequin method 36 [H. Ben Dhia, 1998] 2D/1D FEM 3D/2D FEM - partition of unity for energy in gluing zone - Lagrange multipliers to glue two models ↵M + ↵m = 1 a multi-scale/multi-model method Mortar Method
  • 37. 37 work in progress FEMArlequin
  • 38. Heterogeneous materials 38 macroscopic behavior depends on - size, shape - spatial distribution - volume fraction - mechanical properties of the constituents. macroscopically homogeneous but microscopically heterogeneous = f(✏, ↵) phenomenological constitutive models two many params the identification of these parameters is generally difficult
  • 39. Direct Numerical Simulation (DNS) 39 Unger, Eckard, 2011 44 cm 1 100 000 degrees of freedom Due to the high numerical effort and memory demand of DNS, it is, in general, not possible to simulate the full structure on the micro-/meso-scale with the computational power available nowadays
  • 40. Homogenization 40 Homogenization = replace a heterogeneous material with an equivalent homogeneous material. RVE=RepresentativeVolume Element separation of scales Voigt, 1910 Reuss 1929 Hill 1965
  • 41. Homogenization 41 h i = 1 |⌦m| Z ⌦m md⌦ h✏i = 1 |⌦m| Z ⌦m ✏md⌦ 1 FEM 2 C effective properties h i = C : h✏i bottom-up approach RVE + simple, efficient - restricted to an assumed macro constitutive model - linear elasticity, hyperelasticity, simple plasticity 6 independent loads are needed to determine 36 constants
  • 42. Artificial microstructures 42 F. Fritzen 2010 Statistically equivalent to real microstructures Easy to discretized into finite elements Build tailor made materials Real microstructures: hard to obtain and not meshable
  • 43. Computational Homogenization 43 FE2 method [Renard, 1987, Smit 1998, F. Feyel, 2000] Micro problems are solved in parallel + nonlinear, large deformation - computationally expensive - 2D problems at laboratory scale - not always robust!!! sigma
  • 44. Troubles with softening RVEs 44 - RVE does not exist for softening materials - CH cannot be applied for softening materials meso-structure of concrete strain localization
  • 46. 46 RVE does exist for softening materials by using the failure zone averaging technique
  • 47. Discontinuous CH model 47 MACRO MICRO Nguyen et al, 2011 discrete crack localization band
  • 49. Dynamic discontinuous CH model 49 Vo - macro: implicit dynamics - micro: quasi-static A. Karamnejad, Nguyen, Sluys, 2012
  • 53. 53 There are many cases in which such CAD geometries are not available. However, image data are so ready: medicine, material sciences... Simpleware See also the FREE program OOF2, NIST, USA (1) Industry
  • 54. voxel based method each voxel = one finite element zig-zag boundary - incorrect volume fraction - images with high resolution are required - too large problem size!!! microstructure of cement paste P. Wriggers 54 (2) universities
  • 55. Level set/XFEM 55 Finite Cell Method (FCM) (Fictitious Domain Methods)
  • 56. Tools • Preprocessing: GMSH, GID, ANSYS,ABAQUS • Solvers: 
 - FEM: FEAP, OOFEM, libMesh, KRATOS, Code Aster, TRILINOS, PERMIX, OpenSees (earthquake, structures)
 - DEM: LAMMPS, KRATOS,YADE… 
 - CFD: OpenFoam, KRATOS… 
 - PD: LAMMPS • Postprocessing: GMSH, PARAVIEW, MATLAB,TECPLOT 56 Matlab is not enough. Consider Fortran, C++, Python. Move to Ubuntu Linux to make your programming life much easier. OpenMPI ParMETIS domain decomposition trilinos.sandia.gov/
  • 57. Prof. L.J. Sluys Prof. S. Bordas Dr. M. Stroeven Dr. O. LloberasValls A. Karamnejad Dr. E. Lingen Habanera develops jem/jive C++ library
  • 58. Thank you for your attention