Upload
merry-stephens
View
226
Download
1
Tags:
Embed Size (px)
Citation preview
Effective Inelastic Response of Polymer Composites by Direct Numerical Simulations
A. Amine Benzerga
Aerospace Engineering, Texas A&M University
With: R. Talreja, K. Chowdhury, X. Poulain, A. DeCastro and B. Burgess
Background & Motivation
2
Example: Composite blade containment casing for jet engines
Wide range of temperatures (service conditions)
Wide range of strain-rates (design for impact applications)
Ideal for implementing a multiscale modeling strategy:
(i) the material is heterogeneous at various scales;
(ii) the physical processes of damage occur at various scales
Li et al. (JAE, July 2009)
Goal: Develop a strategy aimed at predicting durability of structural components
Basic ingredient: Reliable physics-based inelastic constitutive models
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 23rd 2009
Background & Motivation
3
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 23rd 2009
Typical Response of a Polymer
4
elastic
hardening
softening
rehardening
T=298K
Compression
510 / s
Epon 862
Littel et al (2008)
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 23rd 2009
Temperature & Rate sensitivity
5
Effect of Temperature (Epon 862)
The behavior of polymers is temperature and strain-rate dependent
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 23rd 2009
Tension -3ε=10 /s
298K
323K
353K
Littel et al (2008)
CompressionLittel et al (2008)
- 5ε=10 /s - 3ε=10 /s
- 1ε=10 /s
ε=700/s
ε=1600/s
Strain-rate effects (Epon 862)
Specification of plastic flow:
e pD D DAssume additive decomposition
5/6
0 exp 1kk e
kk
A s
T s
2
:3
p pD D
3
2 de
p
3
:2e d d d b
where and
1 :eD L pD p
Pointwise tensor of elastic moduli Jaumann rate of Cauchy stress
Effective strain rate:
(define direction of plastic flow)
Flow rule:
3
2p
de
D
Effective stress: Deviatoric part of driving stress:
Back stress tensor
Strain rate effects
Material parameters
Describe pressure sensitivity
Internal variable
6
Polymer model
July 2009
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
Modified Macromolecular Model (Chowdhury et al. CMAME 2008)
7
1-ss
ss h
s
Nota Bene: Original law(Boyce et al. 1988 )
p
3 ch 8 ch
:1
b R DR R R
Evolution of back stress:
1 21 2
( ) 1 ( ) 1
s ss h h
s s
Evolution of athermal shear
strength s :
Polymer Model
July 2009
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
8
2 12
1
3 ( )1
. , ( ), , 3 1 csch
i j klijkl R ik jl jl ikc c cch
c c
T c cc c c
c c
B BR C N g B g B
tr BN
B F F tr BN
L
Material parameter identification
8
• Material parameters :
Elastic constants : ,E
e
Temperaturesensitivity
Strain-ratesensitivity
Pressuresensitivity
Small strainsoftening
Large strain hardening,
cyclic response
Pre-peak hardening
1 0 , 00 2 3,, , , ,, ,,, , , pR s s hA C Nm s f h Related to inelasticity :
s
E, n
s0
pε
s1
s2
f
h0
CR
N
A, 0ε
s
e
h3
Littell et al. (2008)
Reverse flow stress
Forward flow stress
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
9
1- Uniaxial tension, compression and torsion tests at fixed strain-rate :
2- Tensile data at various temperatures and strain-rates :
3- s0 is determined from :
4- s1 is determined from : (at lowest temperature at given strain-rate)
5- s2 is determined from : (at lowest temperature at given strain-rate)
6- Large strain compressive response and/or unloading response at fixed strain-rate and temperature :
7- Specific shape of stress-strain curve around peak :
Material parameter identification
0,A
( )( )
2(1 )
E TT
0 0.077
(1 )
s
log
( )ref
ref
ET T
E T
1
0
( )
( )p p
y y
s
s
1
2
( )
( )p p
d d
s
s
,RC N
0 , ,h f
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
10
Model validation
Tension at T=323K
10-1/s
10-3/s
620/s
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
11
Model validation
Tension at 10-1/s
T=298K
T=323K
T=353K
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
12
Model validation
Compression at T=298K
700/s
10-1/s
10-3/s
10-5/s
1600/s
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
Numerical Homogenization
13
• Principles of Numerical Simulations :
Unit cell composed of Epon 862 matrix (not optimized set), interface of fixed thickness and carbon fiber
Plane strain conditionsDamage not included
• Objectives :
Investigate evolution of mechanical fields (strains, stresses) in unit-cells
Relate micro/macroscopic behaviors Input for understanding of
onset/propagation of fracture
x1
x2
a
b
Epon 862
C fiber
interface
0
2 1 122
0
220
1( , )
ln
a
T x b dxa
bE
b
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
14
• Geometries :
Height: b= 100Cell aspect ratio: Ac= 2Fiber volume ratio: Vw =0.1Fiber aspect ratio: Aw=variable
Numerical HomogenizationModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
Numerical Homogenization
15
2
2
UM F
t
• Numerical implementation :
Convective representation of finite deformations (Needleman, 1989)
Dynamic principle of Virtual Work:
FEM : Linear displacement triangular elts arranged in quadrilaterals of 4 crossed triangles.
Equations of Motions :
They are integrated numerically by Newmark-B method (Belytshko,1976) in an explicit FE code.
Constitutive updating is based on the rate tangent modulus method of Pierce et al (1984)
2 i
2
ud dS - d
tij i
ij i
V S V
V T u V
Kirchhoff stress
Green-Lagrange strain
Surface traction
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009
16
• Calculations at E22=0.10:
TensionFiber : AS4 (sim. To T700)• Et= 14 GPa• ut=0.25
• Geometries :
Height: b= 100Cell aspect ratio: Ac= 2Fiber volume ratio: Vw =0.2 Fiber aspect ratio: Aw=1 (cyl.)
• Dramatic effect of fiber volume ratio on strengthening at all fiber aspect ratios
Numerical HomogenizationModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
17
• Calculations at E22=0.10:
CompressionFiber : AS4 (sim. To T700)• Et= 14 GPa• ut=0.25
• Geometries :
Height: b= 100Cell aspect ratio: Ac= 2Fiber volume ratio: Vw =0.2 Fiber aspect ratio: Aw=1 (cyl.)
• Plastic strains: Localization and maxima : same as in tension
• Hydrostatic stresses : Building-up in thin ligament between fiber and
edge Aw=6 : proximity of fiber to top surface where
stresses are computed may explain strengthening?
Numerical HomogenizationModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
18
Damage ProgressionModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
Objective: Develop an experimentally-valided matrix cracking model for use in mesoscale analyses
19
Damage ProgressionModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
Finding: Irrespective of the microscopic damage mechanisms, the fracture locus of the polymer matrix is pressure dependent and is temperature-dependent
-5 0 5 10 15 20 25 30 35
-20
0
20
40
60
80
100
120
StrainRate_10e-1eng
StrainRate_10e-3eng
StrainRate_10e-5eng
Maximum local Strain (%)
F/S
o (
MP
a)
0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.70
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
f(x) = NaN x + NaN
Room Temperature; strain rate 10e-3/s
Notched Bars
Linear (Notched Bars)
Smooth Bars
Stress Triaxiality Ratio
20
TENSION (PMMA)
Benzerga et al. (JAE, 2009)
DEBONDING : 0crit kv v kU U
Asp et al., 1996
Damage ProgressionModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
21
COMPRESSION (PMMA) DEBONDING : 0crit kv v kU U
Asp et al., 1996
No debonding :
0kk
Damage ProgressionModel Validation Damage ProgressionNumerical
HomogenizationMaterial Parameter
IdentificationPolymer ModelExperimentsBackground/
Motivation
July 18th 2009
Polymer Fracture Model
22
2 1
, 0
,
c k kI k k
c kk k
k
T
c TT c T
Sternstein et al, 1979Gearing et Anand, 2004
Initiation:micro-void nucleation
fC
Propagation:Drawing of new polymer from active zone
1/
02(1 ( ) )
m
p cr II I
crc
D e es
Gearing et Anand, 2004
1f
Breakdown:Chain scission and disentanglement
c
Element Vanish Tech. of Tvergaard, 1981
Model Validation Damage ProgressionNumerical Homogenization
Material Parameter Identification
Polymer ModelExperimentsBackground/Motivation
July 18th 2009