Durability and Damage Tolerance and Life Prediction of ...
Transcript of Durability and Damage Tolerance and Life Prediction of ...
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Durability and Damage Tolerance and Life Prediction of Composite & Metallic Components
Using GENOA Software
Mohit GargEmail: [email protected]
Alpha STAR Corporation, Long Beach, CA 90804www.ascgenoa.com
Java
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• Challenges in Composite Design • Why GENOA ?• Typical Applications• GENOA For Virtual Testing & Simulations • Technical Approach • GENOA Modules and Key Capabilities • Examples:Progressive Failure Static, Dynamic,
Material Qualification, Material Allowable, Fatigue,VCCT/DCZM, Filament Winding, and Reliability Prediction
Outline
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Material Modeling under hygral conditionsNonlinear Fiber/Matrix (Unidirectional, Bidirectional, and triaxial) propertiesSandwich structure (metals/composites/honeycomb/ceramics/foams)Filament Winding for Composite Over-wraped Pressure Vessels
Manufacturing (fabrication process)Fiber lay-up (Directional Uncertainty)Fiber & Void Volume RatioCuring and Springback
Life Assessment PredictionStatic, thermal and mechanical Fatigue (low, high, random, two stage, PSD)Buckling, Creep, thermal aging, low & high velocity impactDamage & Failure initiation loads and modes (delamination, shear, tensile, etc.,)Micro-crack Density & PermeabilityInspection Intervals & Repairs
Cost Effective Optimized DesignReliabilityDurability
Challenges In Composites Design
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FEM codes are challenged by complex mechanisms caused by pre-mature failure of composite structure– Typically failure is assessed at laminate/lamina scales– Actual failure has its source at micro scale fiber/matrix
Genoa was developed to meet the challenge posed by composite andceramic structural systems
Genoa is an augmentation to FEA– adding the necessary micro-scale analysis– Uses a building block approach from material development to design and
certification– Reduces amount of coupon, component and structure testing
Augmentation provides consistent, reliable and accurate (<10% error) predictions– Composite architectures are complex– Composite Micro crack formation during manufacturing and service– Helps to understand when (LOAD VALUE), where, and why failure
occurs in a composite structure
Why GENOA ?
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Feature GENOA ABAQUS MD NASTRANStrength
Durability & Damage Tolerance(linear and nonlinear)
FE Solver (linear and nonlinear) FE Solver (linear & nonlinear)
FTD/FCG
Fatigue (Quasi-Static, Spectrum, Two-stage)
Material Characterization (fiber/matrix)
A & B-Basis Allowables
Parametric Carpet Plots
Composite, Sandwich StructuresStrength (Damage Initiation,
Progression and Final Failure) and Stiffness
(limited damage initiation & final failure) Requires very advanced user
subroutine
(limited damage initiation & final failure)
Fiber/Matrix/Inter-phase/Ply Input (ply only) (ply only)
Creeplimited (several options available mainly
focused for metals)(TBD)
Dynamic (SOL 700) Invokes LS-DYNA and GENOA as library
Failure Criteria(several to chose from) (limited and interactive ply based) (Uses GENOA Library)
Solver Speed Comparatively Slower Comparatively Faster Comparatively Faster
Comparison with Other FE Solvers
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• Durability and Damage Tolerance• Impact, Fatigue and Creep• Crack Initiation, Accumulation and Growth• Structural reliability and reliability based optimization• Effects of temperature, cure, moisture, and
manufacturing defects on material/structural response
Typical Applications
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Equilib. After DamageInitiation~Cycle 14Node 549 Ply 11,12,Node 688 Ply 5Node 687 Ply 5,10
Last Equilib.Cycle 116
Cycle 91Peak
Fracture InitiationCycle 24
3.21 9497.66 18992.11 28486.55 37981.00
1098.30
823.73
549.15
274.58
0.00
Damage Energy Release Rate (psi)
Force
Full Scale Verification
Component Tests
Sub-Element Tests
Environmental
Coupon Tests
InspectionDamage Mechanisms
Constituent Verification
Sensitivity
GENOA For Virtual Testing & Simulations
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Material ConstituentVerification
Full Scale Verification
Coupon Verification
Sub-Element Verification
Requires Calibration
Process
Requires Configuration
Calibration Process
Requires Minimum
Verification Process
Defines Risk Mitigation
Benefits - Certification process, Reduced test plan
Genoa Is A Virtual Testing Tool – Follows ASTM Standards
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Organization Project Objective
Boeing X-37 Orbital Vehicle
Determination of strength of the composite sandwich fuselage
Im pactorFixture plate
BoeingDetermination of the residual strength after impact of composite panels
Launch Vehicle Panels
Boeing/NASA Wing Panels
Determination of the residual strength with discrete source damage
NASAEngineering
Safety Center
Detail RCC Impact
Response
Analysis of progressive failure mechanisms
GENOA For Virtual Testing & Simulations
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Organization Project Objective
Piper Aircraft
virtual test, life assessment and verification
NASAColumbia Accident Inves-tigation Board
Shuttle RCC Impact and
Failure
Verification of the foam impact damage scenario and subsequent structural failure
Honeywell Engine System
Metallic Stiffened Structure
High CycleFatigue
Frequency degradation, life assessment and verification
NavyFailure of
Composite Joints
Determination of the strength and failure modes of composite joints for design improvements
GENOA For Virtual Testing & Simulations
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Organization Project Objective
Honeywell,Siemens,
COI Ceramics
Ceramic Combustor
Liners
Determine creep behavior and fatigue life
Navy- ONR/ Carderock
Analysis of Deck-bulkhead
Structure
Fire resistance simulation of a deck-bulkhead assembly
Life assessment and Failure Analysis
Fatigue Analysis Turbofan
Blade
Hartzel
Navy Thermal Mechanical
Fatigue Analysis
Life assessment and Uncertainty Failure Analysis
GENOA For Virtual Testing & Simulations
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Organization Project Objective
NASA/LaRCX-37 Sub-
Element Pi JointDesign
Simulating the failure and load capacity of the X-37 Honeycomb T-joint
Navy/ONRComposite Joint
Failure Bolted/Bonded
Determine strength and failure modes of composite joints & improved design Optimization
Aerospace Joint: Virtual Testing /Verification
Navy/ONRGeneral Dynamic
Composite Storage Module
(CSM)Bond Shear
Failure
Adhesive Bond progressive FailureMode I- II), void effect, surface polish effect
Navy/ONRComposite TAS
JointCore, Putty
Effect on Failure
Laminate damage at core tip and core cracking observed
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Organization Project Objective
NASA/LaRC
(X-37)
Joining MethodPanel-to-Panel
2D/3D C/SiC Assembled
Sub-Elements
Predict/Verify Durability, failure location/load, failure type Predict/Test=0.99
Composite Joint: Virtual Testing /Verification
NASA/LaRC
(X-37)
Joining MethodPanel-to-Tube
2D/3D C/SiC Sub-Elements
Predict/Verify Durability, failure load, location, failure type Predict/Test=2882/3045 lbs
NASA/LaRC
(X-37)
Joining MethodTube-to-Tube
2D/3D C/SiC CMC Sub-Elements
Predict loading effect on, failure load, location, failure type
Navy
(ONR)Composite Joint
Delamination failure
Predict/Verify Delaminatin Initiation, Growth, location/load
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Organization Project ObjectiveAerospace Composite Joint: Virtual Testing /Verification
Navy- ONR, General Dynamics , Boeing
Design Director’s Room Joint Blast Condition: Ply Drop off,Closure
Actual design: yielding in metallic gusset. Metallic Components thickened to force failure in composite material
Lockheed Martin
F-22
Failure under Shake ( PSD)
, harmonic Environment
Determine failure location, Natural frequency degradation
Static progressive damage analysis was conducted with contact interface between each component.
ONRL Bolted JointDesign Failure,
washer, insert type
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Technical Approach
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Technical Approach
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GENOA PFA (Progressive Failure Analysis) – Solution Hierarchy
U nit cell a t node
2D W oven
Lam inate
S liced un it ce ll
C om ponent FE M
V ehic le
M icro -S cale
Traditional FE M stops hereG E N O A goes dow n to m icro-scale
Lam ina
3D F iber
F E M resu lts carried dow n to m icro scale R educed properties propagated up to veh icle scale
PFA takes full-scale finite element model and breaks the material properties down to the microscopic level. Material properties are updated, reflecting any changes resulting from damage or crack
Technical Approach
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Multi Scale Multiple Failure Criteria
* Options: Tsai-Wu, Tsai-Hill, User defined criteria, Puck, SIFT, HOFF, HASH
** Wrinkling, Crimpling, Dimpling, Intra-cell buckling, Core crushing
Reference: D. Huang, F. Abdi, A. Mossallam, “Comparison of Failure Mechanisms in Composite Structure”. SAMPE 2003 Conference Paper.
Unit Celldamagecriteria
Delamcriteria
1. Matrix: Transverse tension2. Matrix: Transverse
compression3. Matrix: In-plane shear (+)4. Matrix: In-plane shear (-)5. Matrix: Normal compression6. Matrix: Micro crack Density
7. Fiber: Longitudinal tension8. Fiber: Longitudinal
compression• Fiber micro buckling• Fiber crushing• Delamination
11. Normal tension12. Transverse out-of-plane shear (+)13. Transverse out-of-plane-shear (-)14. Longitudinal out-of-plane shear (+)15. Longitudinal out-of-plane shear (-)16. Relative rotation criteria17. Edge Effect
9. Strain limit18. VCCT, DCZM-2d-3d (LEFM)19.Honeycomb**
10. Interactive*• MDE (stress)• SIFT (strain)
Damage, and Fracture Mechanics based
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Load Stepping
• User defined maximum damage per increment
• Reduced properties after damage
Technical Approach
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Adjustment of MaterialProperties
FEA Iteration
DamageInitiation/Growth
No Change In Damage
State
IncreaseLoad
STOP
Structural Failure
• Node displacements• Resultant laminate forces (shells)• Laminate stresses (solids)• Generalized laminate strains (shells)• Laminate strains (solids)
DamageAssessment
Technical Approach
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o o
oo
x
y
z
x
Lamina Micro-stress Theory*Stresses, strains and rotations at a node
z
l
Unit Cellat a node
Delamination at a Node
zl
Laminate TheoryFEM results at a node in each lamina
y
FEM Nodal –Based Resultsu, v, w x, y, xy
x, y, xy
zn
Sub-Divided Unit Cell at a Node
Interrogate Unit Cell
Consequences of Delamination•Loss of local stiffnesses at node•Loads transfer to other nodes or lamina possibly causing delam propagation
i
i+1
z
x
Occurs due to a combination of interlamina micro-stresses or relative
rotations
z
z
ll
nn
l
• Stresses and strains from micro-stress theory*
• Typically 7x7 subdivisions • 16 failure criteria per sub-division
l
i
Technical Approach
Delamination Prediction Process
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Determine: when, why, where, and how to fix failure
Role of Analysis in FAA Building-Block Verification
Role of Analysis• Guides the integration and design processes• Identifies causes when failure to meet performance requirements occurs• Benefits certification process by establishing:
• reduced test plan at each Level (use reversed Taguchi: regression analysis)• Consider Scatter in Geometry, manufacturing, and material levels
GENOA reduces testing at each level of the Building Block Process
SDD_03_0102
Components
Sub - Components
Details
Elements
Coupons
Generic Specimens
Generic Specimens
Structural Features
Data Base
Integration of Design and Processes
Increasing Sample Size
SDD_03_0102
Components
Sub-Components
Details
ElementsCoupons
Non Generic Specimens
Generic Specimens
Structural Features
Data Base
Integration of Design
& Processes
Incr
easin
g Sa
mpl
e Si
ze
Virtual Testing Guides/Reduces Testing at Each Level
--
Configuration Validation Process
Requires Minimum Verification
Defines Risk Mitigation
Calibration Process
Analysis Processes
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PFA Provides Exhaustion Of Energy Tracking
10 100 1000
Percent Damage
Failure initiates at 9 cycles
Failure initiates at 9 cycles
0
3
6
9
1
10
10 1001
1000 10000
Total Damage Energy Release RateAn overall indicator of energy expanded in creation of damage• Ratio of total energy expanded during damage to total damage produced.•Usually crosses a minimum value, corresponding to a damage tolerance limit, prior to structural fracture
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TDERR
1
Percent of Damage Volume• Indicator of structural margin of
safety, and degradation• Ratio of the total damage volume in
composite to total volume of composite structure, multiplied by 100
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PFA Provides Exhaustion Of Energy Tracking
100
10
1
Cycles10 1001 1000 10000
Failure initiates at 9 cycles
Track Damage Energy Release RateFailure is consistently indicated by all critical parameters
Damage Energy Release Rate• Indicator of inspection criteria• Ratio of incremental work done by external forces to the incremental volume of damage created during a load increment that causes damage
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GENOAModular Structure
& Key Capabilities
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Modular Structure & Key Capabilities
GENOA is also Available on the Web
Graphical User Interface with Automatic Import Capability From NASTRAN, MARC, ABAQUS, and ANSYS
Material Simulation Modules
Material Characterization Analysis
Material Uncertainty Analysis
Reliability & Optimization
Fracture Toughness Determination
Fatigue Crack Growth Determination
Progressive Failure Analysis
Random Fatigue
Creep
Power Spectrum Density
Virtual Crack Closure Technique
Discrete Cohesive Zone Modeling
Progressive Failure Analysis -
Virtual Crack Closure Technique (Metal Fatigue)
Static
Vibration
Buckling
Post -Buckling
Quasi -Static Fatigue
High Cycle Fatigue
(Harmonic Loading)IMPACT (High & Low
velocity
Graphical User Interface with Automatic Import Capability From NASTRAN, ABAQUS, ANSYS, and LS-DYNA
Material Simulation Modules
Material Certification & Qualification
Material Uncertainty Analysis
Reliability & Optimization
Fracture Toughness Determination
Fatigue Crack Growth Determination
Progressive Failure Analysis
Random Fatigue
Creep
Power Spectrum Density
Virtual Crack Closure Technique
Discrete Cohesive Zone Modeling
Progressive Failure Analysis -
Virtual Crack Closure Technique (Metal Fatigue)
Static
Vibration
Buckling
Post -Buckling
Quasi -Static Fatigue
High Cycle Fatigue
(Harmonic Loading)IMPACT (High & Low
velocity
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Material Modeling and Analysis
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Material Characterization Analysis (MCA)
• Predicts lamina (ply) and laminate composite properties of metal, polymers (braid, weave, stitched 2D/3D) and ceramic composites
• Predicts distribution of micro stresses in fibers and matrix caused by external loading
• Material properties calibration based on experimental data• Enables accounting for manufacturing defects (voids, residual stress-strain
fields, etc.) and environmental effects (temperature, moisture, etc.)• Predicts the following lamina/laminate properties:
– Modulus / Poisson’s Ratio / Strength– Thermal Expansion Coefficient / Heat Conductivity / Moisture Diffusivities
• Simulates material processing
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Stuffer
Wrap Weaver
Layer-to-Layer Angle Interlock Woven
Filler
0.5 cm
Stuffer
Through-The-Thickness Angle Interlock Wrap
Weaver
Filler
1.0 cm
Wrap Weaver
Stuffer
Filler
Orthogonal Interlock Woven
1.0 cm
HL
HT
HO
Composite Parameter Test Cox GENOA E11(msi) 12.3 13.23 12.35 E22(msi) 6.35 8.15 6.42 E33(msi) 2.32 1.75 1.7
HL1
G12(msi) 0.9 0.78 0.69 E11(msi) 11.6 11.77 11.68 E22(msi) 6.13 8 6.6 E33(msi) 2.03 1.48 1.46
HL2
G12(msi) 0.84 0.71 0.6 E11(msi) 11.45 12.84 11.49 E22(msi) 6.16 7.89 6.17 E33(msi) 2 1.85 1.78
HT1
G12(msi) 0.81 0.77 0.67 E11(msi) 10.44 12.34 10.62 E22(msi) 6.64 9.63 6.7 E33(msi) 2.01 1.64 1.56
HT2
G12(msi) 0.83 0.72 0.64 E11(msi) 12.76 13.5 12.79 E22(msi) 5.78 8.18 6.1 E33(msi) 2.23 2.5 2.85
HO1
G12(msi) 0.73 0.78 0.67 E11(msi) 10 12.15 10 E22(msi) 6.03 8.1 6.97 E33(msi) 3.23 2.95 3.33
HO2
G12(msi) - - 0.62
Heavily Compacted PMC Composites—Prediction vs. Test
GENOA MCA Results Compared to Test
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Calibration of lamina Mechanical Properties for Cryogenic Tank made of IM7/PETI-5
0.0
0.2
0.4
0.6
0.8
1.0
-423F -320F 75F 350F 400F 450FTemperature
Shea
r Mod
ulus
(msi
)
CalibrationTest
220
240
260
280
300
320
-423F -320F 75F 350F 400F 450FTemperature
Long
itudi
nal T
ensi
le S
tren
gth
(ksi
)
CalibrationTest
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23
24
25
26
27
-423F -320F 75F 350F 400F 450FTemperature
Long
itudi
nal M
odul
us (m
si) Calibration
Test
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
-423F -320F 75F 350F 400F 450FTemperature
Tran
sver
se M
odul
us (m
si) Calibration
Test
Longitudinal Modulus Transverse Modulus
Shear Modulus Longitudinal Tensile StrengthFrank Abdi, Xiaofeng Su, “Progressive Failure Analysis of RLV Laminates of IM7/PETI-5 at High, Room, and Cryogenic Temperatures”, SDM 44 Conference Paper.
Material Property Prediction Verification
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-5
0
5
10
15
20
25
30
35
-500 -400 -300 -200 -100 0 100 200 300 400 500
Temperature (F)
CTE
x10
-6(in
/in -
F)
CTE1 (longitudinal) - TestCTE1 (longitudinal) - SimulationCTE2 (transverse) -TestCTE2 (transverse) - Simulation
-423F -320F 75F 350F
450F
400F
Test (CTE2)
Calibration of lamina Mechanical Properties for Cryogenic Tank made of IM7/PETI-5
Frank Abdi, Xiaofeng Su, “Progressive Failure Analysis of RLV Laminates of IM7/PETI-5 at High, Room, and Cryogenic Temperatures”, SDM 44 Conference Paper.
Material Property Prediction Verification
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ECM: Equivalent Constraint Model
9 0
9 0
-4 5
-4 5
• Many composites failures initiate as a result of matrix cracking
• When matrix cracks it releases energy that causes accumulation of additional cracks. The process continues until reaching a saturation point
0
1
2
3
4
5
6
7
8
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8Applied Strain (%)
Cra
ck D
ensi
ty (c
m-1
)
Simulation - [45/-45/90/90]sTest - [45/-45/90/90]sSimulation - [0/0/-60/-60/60/60]sTest - [0/0/-60/-60/60/60]s
Prediction/Test verification of crack densities in 90° coupons subject to longitudinal tension
0
1000
2000
3000
4000
5000
6000
7000
8000
0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40
Strain (%)
Dam
age
Ener
gy (i
n-lb
)
450F400F350F75F-320F-423F
UN-RLV(90)
Permeability Study of Cryogenic Tank[-45/03/45/903/45/03/-45] IM7-977-2 at the range of
temperatures between 423°F and 450 °F
Ref: Frank Abdi, Xiaofeng Su “Composite Tank Permeation and Crack Density Prediction and Verification”, ASME Paper No. IMECE2003-4439, November 2003.
Micro-crack Formation Prediction Verification
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Through-the-thickness crack density distributions in the layers of 25-inch composite disk made of quasi-isotropic laminate [45/90/-45/0]s subject to various levels of external pressure
(Cont’d)Micro-crack Formation Prediction Verification
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Material Uncertainty Analysis (MUA)
• Allows for probabilistic design of composite materials• Calculation of the lamina/laminate allowables and design variables based on the
scatter in the test/simulated data• Predicts critical design variables prior to the start-up of the test program• Combines composite micro-mechanics and probabilistic analysis to evaluate the
reliability of a composite material/structure based on the scatter of fundamental primitive variables (fiber/matrix stiffness and strength, fiber volume ratio, void volume ratio and others)
• Predicts the sensitivity to constituent material properties and other design variables including fiber architecture, as-built manufacturing processes and defect content
• Outputs Cumulative Distribution Function (CDF) and Probability Density Function (PDF) of the response and primitive variables over the entire failure probability
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GENOA ModuleMaterial Uncertainty Analyzer
(MUA)
CDF
Ef1
1
Ef2
2
Nuf
12
Nuf
21
Gf1
2
Sf11
T
Sf11
C
Em
Num
SmT
SmC
Sm12
S11T S1
1C S12
S22T S2
2C
0 .00 .10 .20 .30 .40 .50 .60 .70 .80 .91 .0
Sens
itivi
ty
C o n stitu en t P ro p ertyL am in a
P ro p ertyFive Lamina Properties
Twelve Fiber and MatrixConstituent Properties
Normalized Sensitivity
INPUTFiber/Matrix or Lamina
Uncertainty Data
Sensitivity Data Probability and cumulativedensity functions for
lamina/laminate
100%
ExptAnalysis
ExptAnalysis
Establish A-B Base Allowables(Cont’d)
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Material Characterization Optimization (MCO]
• Allows for calibration of fiber/matrix properties of a selected composite system while simulating the ASTM coupon tests (stress-strain fields) until they are closely reproduced
• Applicable for short- and long-fiber composites• Allows for simulating multiple tests at once• Instrumental for developing/validating standards for material/coupon testing• Reliable for virtual simulation of material testing• Ideal tool for identifying fabrication process variables that maximize material
performance
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Simulation of 96-oz 3TEX 3Weave E-glass/Dion 9800TM composite system
Longitudinal tension of cross-ply coupon
Material Characterization Optimization (MCO]
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Transverse tension of cross-ply coupon
Simulation of 96-oz 3TEX 3Weave E-glass/Dion 9800TM composite system
Material Characterization Optimization (MCO]
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Shear Coupon Test
Simulation of 96-oz 3TEX 3Weave E-glass/Dion 9800TM composite system
Material Characterization Optimization (MCO]
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MCO Predicted Effective Matrix SS Curve for the Composite Systemvs. original stress-strain curve for Dion 9800TM matrix
“Original” stands for Dion Matrix alone
Simulation of 96-oz 3TEX 3Weave E-glass/Dion 9800TM composite system
Material Characterization Optimization (MCO]
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Test shows Composite thickness Effects Strength Property
Fiber Micro-Buckling, Fiber Volume Ratio, Void Volume Ratio Fiber Waviness/ Misalignment
Reference: Soutis, C., and Lee, J., (2007). A study on the compressive strength of thick carbon fibre-epoxy laminates. Composite Science & Technology 67, pp. 2015-2026.
%Void Vs. thickness Failure stress Vs. Fiber Waviness
Test Vs. Simulation Un-notched Coupons: Combined Effect
0.0
0.2
0.4
0.6
0.8
1.0
1.2
2 4 8
Laminate Thickness [mm]
Nor
mal
ized
Stre
ngth
[-] Test
Simulation
Combined Effect: VVR, FVR, FMB, WavinessU n n o t c h e d C o m p r e s s io n [ P ly - L e v e l S c a l in g ]
01 0 02 0 03 0 04 0 05 0 06 0 07 0 08 0 09 0 0
0 .0 0 0 0 .0 0 5 0 .0 1 0 0 .0 1 5 0 .0 2 0
S t r a in [ m m /m m ]
Stre
ss [M
Pa]
t = 2 m mt = 4 m mt = 8 m m
t 1=2mm
t 2=4mm
t 3=8mm
Thickness Effect on Stress-Strain CurveVVRFVR
WAVINESS
Probabilistic Sensitivity Factors
THICKNESSFMB_D11C
Laminate Property Reduction Factors:
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State-of-the art durability and damage tolerance capability by means of progressive failure analysis• Predicts thermo-mechanical limit loads of composite/metallic structural
components while taking into consideration:– Material degradation
• Matrix plasticity and micro-cracking• Environmental effects and manufacturing defects
– Material Nonlinearity– Changes in structural geometry
• Predicts crack initiation and growth• Computes various damage and failure modes and locations at different material
scales beginning with the micro-cracking in fiber, matrix, fiber/matrix interface• Predicts the post-buckling response• Predicts the limit time to failure and time-dependent crack initiation and growth • Effective for permeability and damage tolerant design• Effective for reducing the number of tests and certification
Progressive Failure Analysis (PFA): Static
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1 inch
0.229 inches19 plies
302 lbs 343 lbs
Delamination Process
(Cont’d)
Ref: V. S. Sokolinsky, J. Housner, Jonas Surdenas, and F. Abdi, “Progressive Failure Analysis of Shuttle Reinforced Carbon-Carbon Plate Specimens”, Proceedings of the 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Newport, Rhode Island, May 1–4, 2006, AIAA–2006–1781.
Evaluation of RCC
Progressive Failure Analysis (PFA): Static
44Computation time: 25 min
(Cont’d)
Progressive Failure Analysis (PFA): Static
Evaluation of RCC
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Crack turns parallel to loading
Specimen Cross-Section
Crack turns
Crack growth is initially normal to loading
Simulation
Test
Photo-elasticity
Ref: D. Moon, F. Abdi, B. Davis, “Discrete Source Damage Tolerance Evaluation of S/RFI Stiffened Panels”, SAMPE 1999 Symposium
(Cont’d)
Predict Ultimate Load of 3 Stringer Panel
Progressive Failure Analysis (PFA): Static
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(Cont’d)
• Uses an explicit transient dynamic algorithm through the integration with LS-DYNA software.
• Predicts complicated large deformation behavior in composite structures including prediction of any extensive material degradation
• Simulates low/high speed impact event, including damage initiation and propagation and ultimately final collapse of the composite structure
• Detects damage in composite laminates at each time interval at micro-level using the advanced micro-mechanics
• Tracks material degradation at the fiber/matrix level enables accurate simulation of the global response of a composite structure
• Supports multiple element types (shell and solid)• Enables simulation of the components subjected to large deformation,
material nonlinearity, and nonlinear boundary conditions
Progressive Failure Dynamic Analysis (PFDA):Dynamics
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Back
Top Top Layer
Back Layer
I m p a c t o rF i x t u r e p l a t e5 inch by 5 inch panel
Impact Speed: 3.01 ft/secImpact Energy: 7.58 ft-lbsTotal Time: 19.75 msecClamped boundary condition on all four sidesSpherical Steel Impactor (Diameter 1 inch)G30-500/45 R6367: /-45/0/90/0/90/0/90/0/90/-45/45
Impact of Steel Ball on Composite Plate
-2.00E+00
0.00E+00
2.00E+00
4.00E+00
6.00E+00
8.00E+00
1.00E+01
-5.00E+00 0.00E+00 5.00E+00 1.00E+01 1.50E+01 2.00E+01 2.50E+01
Time (msec)
Load
(lb)
*100
simulationexperiment
Load Vs. Time Curve
Low Velocity Impact of Composite Panel (Boeing)
Reference:1- D. Huang, F. Abdi, M. Khatiblou “Impact, and Tension After Impact of Composite Launch Space Structure” , SAMPE 2001, Long Beach, CA2- F. Abdi, “Impact Damage Propagation In Composite Structures”. JEC 2006 Journal Publication.
Experimental Simulated
Foot Print Foot Print
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Low Velocity Impact(GENOA Predicts Residual Strength After Impact)
ImpactorFixture plate
0
100
200
300
400
500
600
700
800
900
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45Deflection in.
Forc
e L
b
AnalysisTest
TestGENOA
0
20
40
60
80
100
120
0 0.2 0.4 0.6 0.8 1 1.2 1.4Damage Size in.
Stre
ss P
si
TestGenoa
TestGENOA
Back
Front
6 layers of G30-500/R3676 fabric• (45,-45), 4x(0,90),(45,-45) • Ply thickness - 0.014 in • Total thickness - 0.084 in
• Impactor mass - 53.75 lbs • impact velocity - 3.01 ft/sec • impact energy - 7.58 ft-lbs
Front
Back
Ref: D. Huang, F. Abdi, M. Khatiblou “Impact, and Tension After Impact of Composite Launch Space Structure” , SAMPE 2001, Long Beach, CA
49
High Velocity Impact
30 mph
825 lbsTest Comparison of Composite Response at 48 km/hr to
GENOA-LS-DYNA and LS-DYNA Stand Alone Solutions
Damage Initiation Damage Progression
Pattern of Bulging Side Walls of Boxed Beam Is Consistent with Test Observation
50
GENOA Impact Simulation(With Compression After Impact Compared to Test)
Impact on Sandwich Composite Panel
Ref: M. Garg1, F. Abdi1, A. Zammit2, J. Bayandor2 , Y. Suh3 , S. Song (2009). IMPACT DAMAGE RESISTANCE AND COMPRESSION-AFTER-IMPACT STRENGTH OF SANDWICH COMPOSITES. SAMPE 2009.
51
GENOA Impact Simulation - Damage Propagation
Time Dependent Damage Progression & Contributing Failure Mechanisms Simulation of Impacted Composite Foam
52
GENOA Impact Simulation – Load vs Time & Energy vsTime
Load v.s. Time Energy v.s. Time
0
5
10
15
20
25
30
0 5 10 15 20 25
Time [ms]En
ergy
[ft-l
bf]
Test1Test2
Sim (Fiber/Matrix)Sim (Ply)
53
GENOA Results For Compression After Impact(Compared to Test)
Compression Load = 0 lb Compression Load = 24,680 lb
Test Simulation
Impact Energy 25 lbf-ft 25 lbf-ft
Impact Peak Load 1,400 lb 1,530 lb
CAI Residual Strength
23,280 lb 24,136 lb
Failure Mechanism Asymmetric Crippling of bottom skin
Crippling of skin (Normal Shear Failure)
Summary of Results
Load v.s. Displacement
54
Time=3.715×10-4 SecondAluminum
Composites
Reference: F. Abdi, D. Xie, H. Bhugaloo, J.L. Bozec “PROGRESSIVE FAILURE SIMULATION OF AN AIRCRAFT FAN BLADE IMPACT ONTO ENGINE INLET”. Proceedings of COMP07: 6th International Symposium on Advanced Composites, 16-18 May, 2007, Corfu, Greece.
Hard Body Impact: Engine Blade Out
Composite Blade Out
Titanium Blade;Composite Housing
Inner Layer: Aluminum 6061-T6Out Layer: Kevlar 29 Dry Fiber
Titanium Ti-6Al-4V
Blade initial speed: 4000 in/sec
55
Comparison of Impact Simulations and TestComparison of Impact Simulations and Test
RCC6 RCC7 RCC8
18.6 inches
10.2 inches
Final State Due to Impact
RCC6 RCC7 RCC8
Prior to Final State Due to ImpactShown to Display Fracture Progression
From Simulations
RCC8 looking outboard.Cracking of panel 8 extends all the way to and including the outboard rib of panel 8.
RCC8 looking up.Cracking of panel 8 extends from apex of RCC8 curvature to before the representative carrier panels. RCC7
RCC8
RCC9
From TestsDamage From Foam Impact on RCC Panel 8Damage From Foam Impact on RCC Panel 8
Reference: K. Bowcutt, D. Picetti, K. Yun, F. Abdi “A High-Fidelity Aero-Thermal-Structural Analysis Of The STS-107 Columbia Reentry With Postulated Wing Leading Edge Damage”. JANNAF Conference Paper 2003, Colorado Spring, Colorado.
Hard Body Impact: Shuttle Foam Impact Accident Re-construction
56
Progressive Failure Analysis (PFA): Quasi-Static (Low-Cycle) Fatigue
• Provides an effective evaluation of the fatigue (service) life of the composite/metallic structures subjected to constant amplitude static thermo-mechanical loads.
• Predicts the damage initiation site in structural components under applied cyclic loading
• The degree of cumulative damage incurred is calculated from the SN curve at each stress level; the SN curve can be obtained from tests or literature
• Can be used in conjunction with efficient Multi-factor interaction model (MFIM) to account for a broad range of factors that affect the fatigue life of a structure
• Can be used in conjunction with GENOA’s Probabilistic Analysis module to account for the probabilistic nature of fatigue
• Accounts for SN curve degradation for a considered material
57
Lamina Ply # Mat # OprTmp CureTmp Moisture, angle Thickness
PLY 1 1 70.00 70.000 0.0000 0.00 0.01268
PLY 2 1 70.00 70.000 0.0000 90.00 0.02056
PLY 3 1 70.00 70.000 0.0000 0.00 0.01268
PLY 4 1 70.00 70.000 0.0000 90.00 0.01014
PLY 5 1 70.00 70.000 0.0000 0.00 0.01268
PLY 6 1 70.00 70.000 0.0000 90.00 0.02056
PLY 7 1 70.00 70.000 0.0000 0.00 0.01268
MATCRD 1EGKGDION 0.55000 0.09655EGKGDION 0.00000 0.55000 0.09655 1.00000
BRAID 1EGKGDION 60.00 90.00 30.00 0.0250
BRAID 2EGKGDION -60.00 90.00 30.00 0.0250
Progressive Failure Analysis (PFA): Quasi-Static Fatigue
E-glass fiber; Dion 9800 matrix
Force
Experimental Strain-Stress curve of resin
Strain-Stress Curve of DION
0
3
6
9
12
15
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
Strain (%)St
ress
(ksi
)
original experimental data representative points picked
Ref: Kunc, V.; Lynn K.; Abdi, F.; Qian, Z.; Knouff, B. The Prediction of 3 Dimensional Fabric Composite Fatigue Sensitivity to Void Content. 2006 SAE World Congress, Detroit, MI, April 3-6, 2006
3-D Woven Composite, Material: 3-Tex
58
Results for 3-D Woven coupon Average 10% Void : Fiber Micro Buckling Longitudinal compression damage (12,500 Cycles)
Longitudinal compression damage of plies after fatigue cycle 12500 (stage 3)
(30% of static ultimate load)
0°
90°
0°
0°
0°
90°
90°
After Matrix damages, Matrix’s Shear Modulus changes to Zero. It comes with fiber microbuckling, which results the composite damage.
Progressive Failure Analysis (PFA): Quasi-Static Fatigue
59
Longitudinal tensile damage after fatigue cycle 12500 (stage 4) (30% of static ultimate load)
Results for 3-D Woven coupon, Average 10% Void : Longitudinal tensile damage (12,500 Cycles)
0°
90°
0°
0°
0°
90°
90°
Progressive Failure Analysis (PFA): Quasi-Static Fatigue
60
Failure Progression for 3-D Woven coupon: Matrix (Transverse Tensile), 90 deg Fiber (fiber buckling), and 0 deg fiber (Long tensile)
Cycle 12400
Cycle 12500
After Cycle 12500
No Matrix damage
before cycle 12400
Matrix damage Initiation
Transverse tensile damage
Longitudinal compression
damage
Fiber Micro buckling
Longitudinal tensile damage
No damage
Transverse tensile damage
Matrix damage Propagation
Transverse tensile damage
Progressive Failure Analysis (PFA): Quasi-Static Fatigue
61
Comparison between simulation and test fatigue cyclic lives
40
50
60
70
80
90
100
110
120
130
100 1000 10000 100000 1000000
Cycles to Failure
Max
Cyc
lic S
tres
s (k
si)
Test - RTSimulation - RTTest - CryoSimulation - Cryo
Ref: Xiaofeng Su, Frank Abdi, Ron. Kim, “Prediction of Micro-crack Densities in IM7/977-2 Polymer Composite Laminates under Mechanical Loading at Room and Cryogenic Temperatures”, SDM 46, Austin, Texas, 2005.
(Cont’d)
Progressive Failure Analysis (PFA): Quasi-Static Fatigue
62618.25
2,831.5
13,158.5
Test Ave.
10% void
number of cycles to failure
422
2925
13,000
GENOA
540,000
Test
2% void
466
3,900
534,400
GENOA
1.170%
1.350%
41.130%
Life increase (times)
load
618.25
2,831.5
13,158.5
Test Ave.
10% void
number of cycles to failure
422
2925
13,000
GENOA
540,000
Test
2% void
466
3,900
534,400
GENOA
1.170%
1.350%
41.130%
Life increase (times)
load
10
15
20
25
30
35
40
45
50
100 1000 10000 100000 1000000number of cycles to failure
stre
ss (k
si)
axial-Experimental transverse-ExperimentalGENOA predicted (10% void) GENOA predicted (2% void)Experimental
~40 times life
2% Void
10% Void
Progressive Failure Analysis (PFA): Quasi-Static Fatigue
Comparison of life cycles between Test and Predictions: Void Effect
63
Progressive Failure Analysis (PFA): Harmonic (High-Cycle) Fatigue
• Provides an effective evaluation of the fatigue (service) life of the composite/metallic structures subjected to constant amplitude dynamic thermo-mechanical loads.
• Predicts the damage initiation site in structural components under applied cyclic loading
• The degree of cumulative damage incurred is calculated from the SN curve at each stress level; the SN curve can be obtained from tests or literature
• Can be used in conjunction with efficient Multi-factor interaction model (MFIM) to account for a broad range of factors that affect the fatigue life of a structure
• Can be used in conjunction with GENOA’s Probabilistic Analysis module to account for the probabilistic nature of fatigue
• Accounts for SN curve degradation for a considered material
64
Progressive Failure Analysis (PFA):Spectrum (Random) Fatigue
• Provides an effective evaluation of the fatigue (service) life of the composite/metallic structures subjected to a sequence of external cyclic thermo-mechanical excitations with variable amplitude and period.
• Predicts the damage initiation site in structural components under applied cyclic loading
• Rainflow analysis is used to reduce the complex loading to a series of simple cyclic loadings
• The degree of cumulative damage incurred is calculated from the SN curve at each stress level; the individual contributions are combined using Miner’s rule
• Can be used in conjunction with efficient Multi-factor interaction model (MFIM) to account for a broad range of factors that affect the fatigue life of a structure
• Can be used in conjunction with GENOA’s Probabilistic Analysis module to account for the probabilistic nature of fatigue
• Accounts for SN curve degradation for a considered material
65
Progressive Failure Analysis (PFA):Fatigue with Fracture Mechanics (PFA / FATIGUE / VCCT)
• Provides an effective evaluation of the fatigue life of a metallic structure by combining the PFA with VCCT and FCG modules
• Analyzes the development of the damage initiation site along a predetermined path under the applied cyclic loading
• The approach is fracture mechanics based and requires:– A predetermined fracture path– Fatigue Crack Growth curve (da/dN vs. ∆K data); can be obrained from GENOA/FCG– SN curve
• Can be used in conjunction with GENOA’s Probabilistic Analysis module to account for the probabilistic nature of fatigue
• The approach is restricted to linear elastic materials and shell elements
66
1.E-09
1.E-08
1.E-07
1.E-06
1.E-05
1.E-04
1.E-03
1.E-02
1.E-01
1.E+00
1 10 100
DK (psi in^0.5)
da/d
N (i
n/cy
cle)
Simulation of Boeing IAS (Integral Airframe Structures) using da/dN vs ∆K input and VCCT utilization
FCG curve (da/dN v.s. ∆K) for T7457 is generated by GENOA/FTD/FCG
Material: T7475-T7351, Initial crack: 2.5in, Load: pressure load on internal surfaces
Fuselage panel (8.6psi)
Test GENOA
Cycle to Fracture
10,333 10,230
Static Loading (ultimate)
10.30 psi ~10.48 psi
Ref: B. Farahmand, C. Saff, De Xie and F. Abdi, “Estimation of Fatigue and Fracture Allowables For Metallic Materials Under Cyclic Loading”. AIAA-2007-2381, Honolulu, Hawaii, April, 2007
Progressive Failure Analysis (PFA): Fatigue with Fracture Mechanics (PFA / FATIGUE / VCCT)
67
68
Progressive Failure Analysis (PFA):Virtual Crack Closure Technique [VCCT]
• Virtual Crack Closure Technique (VCCT) is a fracture mechanics based approach for PFA integrated into GENOA-PFA:
– The technique is based on linear spring elements and is insensitive to FEM mesh size– Avoids the use of singular crack elements (extensive mesh preparation work not
required)– Computationally efficient due to the use of the node-based displacements and forces– Only Fracture toughness data is required as input and can be obtained from
the following sources:• Experimental testing/Material Handbooks• GENOA Fracture Toughness Determination (FTD) Module
– Requires fracture path to be pre-determined based on the following:• Experimental testing/Experience• Preliminary Progressive Failure Analysis
– Computes strain energy release rate in linear elastic materials– Provides accurate failure analysis of interfaces and adhesively bonded joints– Able to detect critical crack propagation and arrest
0
10
20
30
40
50
60
70
0 5 10 15
D e f l e c t i o n ( mm)
69
X
Y
1 2
3 4
Δa
Ref:Rybicki EF, Kanninen MF. A finite element calculation of stress intensity factors by a modified crack closure integral. Engng
Fract Mech 1977;9:931-938.Xie D and Biggers, Jr. SB, Strain energy release rate calculation for a moving delamination front of arbitrary shape based on
virtual crack closure technique, Part 1 and Part 2, Engineering Fracture Mechanics, accepted.Xie D and Biggers, Jr. SB, Progressive crack growth analysis using interface element based on the virtual crack closure
technique, Finite Elements in Analysis and Design, submitted.
Requires pre-defined crack path,
Needs fracture toughness test data.
If ply configuration is changed, repeated toughness test required.
Orthotropic Material model
Progressive Failure Analysis (PFA):Virtual Crack Closure Technique [VCCT]
70
0
10
20
30
40
50
60
70
0 2 4 6 8 10 12 14
Deflection (mm)
Load
(N)
ABAQUS/UELMesh 400, increment 0.04 mmMesh 400, increment 0.4 mmMesh 1200, increment 0.4 mmCrisfield
a=2.832L=10
b=1
2h=2×0.1924P, δ
P, δ
x
y
z
Ex = 20.6 MSI, Ey = Ez = 1.13 MSIGxy = 0.58 MSI, Gxz = 0.58 MSI, Gyz = 0.37 MSIVxy = 0.34, Vxz = 0.34,Vyz = 0.53GIC = 1.89 lb/in
Unit: Inch
PFA–VCCT offers• PFA offers damage tracking approach no crack path definition • PFA detects the failure mechanisms involved at Micro, and
macro-level• PFA-VCCT offers load displacement contour plots• PFA –VCCT can be simulated with NASTRAN
PFA Defined Propagation Path
Progressive Failure Analysis (PFA):Virtual Crack Closure Technique [VCCT]
71
Multi-Site cracks - plate containing two parallel cracks
F2
Crack a
Crack bF1
Multi-cracks - plate containing two perpendicular cracks
Progressive Failure Analysis (PFA): Virtual Crack Closure Technique [VCCT]
72
Progressive Failure Analysis (PFA):Discrete Cohesive Zone Modeling [DCZM]
• Discrete Cohesive Zone Model (DCZM) is a fracture mechanics based approach for progressive crack growth analysis in GENOA-PFA:
– The technique is based on bi-linear spring elements and is insensitive to FEM mesh size– Avoids the use of singular crack elements– Computationally efficient due to the use of the node-based displacements and forces– Requires fracture toughness, cohesive strength, and cohesive stiffness as
input:• Fracture toughness can be obtained from Experimental testing/Material Handbooks/GENOA
Fracture Toughness Determination (FTD) Module• Cohesive strength and stiffness can be obtained via test calibration
– Requires fracture path to be pre-determined based on the following:• Experimental testing/Experience• Preliminary Progressive Failure Analysis
– Enables modeling material softening– Provides accurate failure analysis of interfaces and adhesively bonded joints– Predicts face-sheet core delamination in sandwich materials– Able to detect critical crack propagation and arrest
73
Discrete Cohesive Zone Model (DCZM) Continuum Cohesive Zone Model (CCZM)
X
Y
1 2
Δa
X
Y
1 2
3 4σ(MPa)
σc
GIC δ(mm)δc δm
Cohesive Law
Nonlinear Spring Continuum
ICmc G=δσ21
Ref:Ungsuwarungsri T and Knauss WG, The Role of Damage-Softened Material Behavior in the fracture of composites and adhesives, International Journal of Fracture, 35(1987): 221-241. See also Ph.D. thesis, 1985, Aeronautics Department, Caltech, Pasadena, CA.
Song SJ and Waas AM, Energy-based mechanical model for mixed-mode failure of laminated composites, AIAA Journal, 33 (1995): 739-745
Shahwan KW and Waas AM, Non-self-similar decohesion along a finite interface of unilaterally constrained delaminations, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, 453 (1997): 515-550.
PFA-DCZM can model material softening that VCCT can notSame Input requirements as VCCTThis Unique capability does not exist with Abaqus
Progressive Failure Analysis (PFA):Discrete Cohesive Zone Modeling [DCZM]
74
GENOA-DCZM Benchmarks: CC, IC, CT
8.0
w2a0° Fiber
(a) CC2
16.0
w2a
0° Fiber
(b) CC4
8.0
w2a’
0° Fiber
(c) IC
1.70
1.75w
a
0.385
0°Fiber
(d) CT
Ref: Masters JE, Trans-laminar Fracture Toughness of a Composite Wing Skin Made of Stitched Warp-knit Fabric, NASA Contractor Report 201728, November 1997.
Illustrate the procedure for calibration Calibrate cohesive strength using CC2 specimenPredict load displacement curve for CC4, IC, and CT specimens
75
GENOA-PFA Predicts The Crack Path And Residual Strength: Benchmark: CC2
[+45/-45/02/90/02/-45/+45] with 44% as 0° plies
44% as ±/45° pliesand 12% as 90° plies
Test PFA/NASTRAN
64.5Ksi 67.2Ksi
W = 2.0in, a = 0.5in, L = 4.0in
Ref: J. Mastres., NASA Contractor Report 201728 “ Translaminar Fracture Toughness of a Composite Wing Skin Made of Stitched warp-Knit Fabric”
Number of Mindlin Shell Elements: 1936
Fracture starts at load: 43.7Ksi
Final Fracture load: 67.2 Ksi
AS4/3501
PFA shows that the crack propagates perpendicular to the load direction
76
GENOA-DCZM Calibration ProcessBenchmark: CC2
0.0E+00
1.5E+04
3.0E+04
4.5E+04
6.0E+04
7.5E+04
9.0E+04
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
COD (inch)
Stre
ss (p
si)
Test
VCCT
DCZM,100%
DCZM, 50%
DCZM, 70%
DCZM,65%
0.0E+00
1.5E+04
3.0E+04
4.5E+04
6.0E+04
7.5E+04
9.0E+04
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
COD (inch)
Stre
ss (p
si)
Test
VCCT
DCZM,100%
DCZM, 50%
DCZM, 70%
DCZM,65%
Test: 64.5ksi errorVCCT: 52.5ksi; –19%. DCZM: 64.6ksi; +0.2%.
Calibration: the cohesive strength is calibrated as the percentage of material axial tensile strength
Cohesive Strength ~ 65% of TS
8.0
2.0
2a
0° Fiber
Load Displacement Curves for Cohesive Strength Selection
Ref:Masters JE, Translaminar Fracture Toughness of a Composite Wing Skin Made of Stitched Warp-knit Fabric, NASA Contractor Report 201728, November 1997.
77
GENOA-DCZM Corrects Load Displacement Curve And Residual Strength Benchmark: CC4
0.0E+00
1.5E+04
3.0E+04
4.5E+04
6.0E+04
7.5E+04
9.0E+04
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
COD (inch)
Stre
ss (p
si)
testVCCTDCZM , 65%
0.0E+00
1.5E+04
3.0E+04
4.5E+04
6.0E+04
7.5E+04
9.0E+04
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
COD (inch)
Stre
ss (p
si)
testVCCTDCZM , 65%
Test: 58.8ksiVCCT: 49.5ksi; –16%. DCZM: 57.6ksi; –3%.
16.0
4.02a
0° Fiber
CC4
The calibrated Cohesive Strength (~ 65% of TS) is used to make the prediction for wide central crack panel (4.0inch wide).
Ref: Masters JE, Translaminar Fracture Toughness of a Composite Wing Skin Made of Stitched Warp-knit Fabric, NASA Contractor Report 201728, November 1997.
78
GENOA-PFA Predicts The Crack Path And Residual Strength Benchmark: IC
W = 2.0in, a = 0.5in, L = 4.0in
[+45/-45/02/90/02/-45/+45]with 44% as 0° plies
44% as ±/45° pliesand 12% as 90° plies
Ref: J. Mastres., Nasa-Contractor Report 201728 “ Translaminar Fracture Toughness of a Composite Wing Skin Made of Stitched warp-Knit Fabric”
Test PFA/NASTRAN
61.3ksi 65.5 Ksi
Number of Mindlin Shell Elements: 4488
Fracture starts at load: 24.0 Ksi
Final Fracture load: 65.5 Ksi
AS4/3501
PFA shows that the crack propagates perpendicular to the load direction
79
GENOA-DCZM Corrects Load Displacement Curve And Residual Strength Benchmark: IC
0.0E+00
1.5E+04
3.0E+04
4.5E+04
6.0E+04
7.5E+04
9.0E+04
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
COD (inch)
Stre
ss (p
si)
VCCT
DCZM, 65%
0.0E+00
1.5E+04
3.0E+04
4.5E+04
6.0E+04
7.5E+04
9.0E+04
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
COD (inch)
Stre
ss (p
si)
VCCT
DCZM, 65%
Test: 61.3ksi errorVCCT: 45.0ksi; –26%. DCZM: 60.0ksi; –2%.
8.0
2.0
2a’
0° Fiber
IC
The calibrated Cohesive Strength (~ 65% of TS) is used to make the prediction for inclined central crack panel.
Ref: Masters JE, Translaminar Fracture Toughness of a Composite Wing Skin Made of Stitched Warp-knit Fabric, NASA Contractor Report 201728, November 1997.
80
GENOA-PFA Predicts the Crack Path and Residual Strength Benchmark: CT
Test PFA/NASTRAN
2.31 Kip 2.47 Kip
W = 1.4in, a = 0.5in, L = 4.0in
Ref: J. Mastres., Nasa-Contractor Report 201728 “ Translaminar Fracture Toughness of a Composite Wing Skin Made of Stitched warp-Knit Fabric”
[+45/-45/02/90/02/-45/+45]with 44% as 0° plies
44% as ±/45° pliesand 12% as 90° plies
Fracture start at load:2.04Kips
Final Fracture load:2.47Kips
AS4/3501
PFA shows that the crack propagates perpendicular to the load direction
81
Fracture Toughness Determination (FTD)
• Computes fracture toughness based on the extended Griffith energy balance theory
• Predicts the fatigue life and performance of metallic structures (aluminum, titanium, steel) with minimal experimental testing
• Cost and time effective approach for sophisticated fracture testing--eliminates high standard specimen preparation, complex test procedures and data processing
• Requires only the stress/strain curves for tensile specimens as input. The SS curve can be obtained from:
– Experiments– Handbooks– Other literature
82
Fatigue Crack Growth (FCG)
• Computes da/dN vs. ∆K curves• Predicts the fatigue life and performance of metallic structures (aluminum,
titanium, steel) with minimal experimental testing• Cost and time effective approach for sophisticated fracture testing--eliminates
high standard specimen preparation, complex test procedures and data processing
• Requires fracture toughness as input. The fracture toughness can be obtained from:
– Experiments– Handbooks– Other literature– GENOA/FTD module
83
Flow Chart: Fatigue Crack Metal Approach
• KC• KIC• Stress Ratio• Maximum Stress• Yield Stress
•ASTM E647OR
FTD
Tensile test
Part I
PFAPart II
Part III
FCG
Test
Outputs
FEA Model component
component
material
Ref: B. Farahmand, C. Saff, De Xie and F. Abdi, “Estimation of Fatigue and Fracture Allowables For Metallic Materials Under Cyclic Loading”. AIAA-2007-2381, Honolulu, Hawaii, April, 2007
84
Flow Chart: Application of FTD and FCG
InputStress-Strain Curve (From
a Reliable Source)
Fracture Toughness
DeterminationFTD
Fracture Toughness Versus Thickness (2219-T87)
01020304050607080
0 0.5 1 1.5 2 2.5
Thickness, inch
Kc
-ksi
(in.)^
0.5
Small Plate'W=10", 2a=3"NASGRO
KIc
NASGRO
FTD
Delta K, ksi-(in)^0.5
1.E-09
1.E-08
1.E-07
1.E-06
1.E-05
1.E-04
1.E-03
1.E-02
1.E-01
1.E+00
1 10 100
da/d
n, in
/cyc
le
10 100
FCG
PhysicalTesting -
NASGRO
2219-T87
85
Composite Over-wrappedPressure Vessels (COPVs)
86
Filament Winding (FW)
• Supports design and analysis of composites over-wrapped vessels (COPVs)• Generates mesh for circular cylinder and dome shapes (Spherical, Geodesic,
Elliptic, Toroidal)• Allows for importing external mesh• Allows to model linerless COPVs• Allows for modeling bonded, unbonded, and frictional behavior between the
linear and the composite over-wrap• Duplicates the manufacturing process by generating the correct tape schedule at
each location on the COPV FEM model and calculating residual stresses caused by the filament winding process
• Simplifies the complex Hoop/Helical wrapping definitions for the user and need to requires:
– Winding Angle– Tape overlap– Number of windings
• Generated model can be used with Progressive Failure Analysis for simulating the certification process
87
COPV Delamination Initiation / Progression and Fracture Simulation
Delamination Initiation in Tank 3(Pressure 3,200 psi)
Fracture Initiation in Tank 3(Pressure 5,040 psi)
Delamination Progression in Tank 3(Pressure 4,480 psi)
Fracture Test/Prediction Comparison
Test : 4,890 to 5,303 psiTest Average: 5,057 psi
GENOA: 5,040 psi
Prediction burst pressure is 0.33 % lowerthan the average test pressure
Ref: G. Abumeri, F. Abdi, M. Baker, M. Triplet and, J. Griffin “Reliability Based Design of Composite Over-Wrapped Tanks”. SAE World Congress, 2007, 07M-312, Detroit Mi, April 2007
88
Reference: G. Abumeri, F. Abdi, M. Baker, M. Triplet and, J. Griffin “Reliability Based Design of Composite Over-Wrapped Tanks”. SAE World Congress, 2007, 07M-312, Detroit Mi, April 2007
Probabilistic Evaluation
Test Fracture Internal Pressure4,890 to 5,303 psi corresponds to cumulative probability of 0.425 to 0.70;
Test Average: 5,057 psi GENOA 50% Probability Prediction: 4,950
Test
Test
Methodology is applicable to all types of materials and structures
cont’dFracture Initiation Load of Composite Tank
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Probability & Reliability Analysis
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Progressive Failure Optimization (PFO)
• Helps maximize the structural performance of a designed composite structure by directing the design towards minimization of its service life damage.
• Optimizes the durability and damage tolerance of the part in consideration and improves the overall robustness
• Helps reduce experimental efforts by computing the optimized design parameters that produce the best performance
• Minimizes objective function in the overall material damage• Graphically shows the comparison of the optimized results and initial design• Requires the selection of manufacturing design variables and constraints• Recalculates the stress distribution at the micro level based on the input loads
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Probabilistic Analysis (PA)
• Permits the simulation of progressive failure in composite structures taking into consideration uncertainties in material properties, loading conditions and service and manufacturing environments
• Generates various probabilistic responses and sensitivities based on the user defined perturbed random variables
• Can predict the complicated response of composite structures using the following:
– Cumulative Distribution Function (CDF)– Probability Density Function (PDF)– Probabilistic Sensitivities– Random variables most probable design vectors
• Requires the identification of variables and definition corresponding mean values, standard deviation, and distribution types.
• Helps rationalize between competing designs• Facilitates the assessment of the reliability of advanced materials and structures
for a variety of applications
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Probabilistic Progressive Failure Analysis (PPFA)
• Evaluates the reliability of a structure in presence of the following:– Uncertainties in the constituent properties of the composite (or properties of metal)– Fabrication variables and geometry– Service conditions
• Enables quantify the relative effect of the various random variables on the performance of the structure
• Calculates the following– Cumulative Distribution Function (CDF)– Probability Density Functions (PDF) of the response– Sensitivities of design parameters to the response
• Automatic linking to major FEA solvers (e.g., NASTRAN, ANSYS, and ABAQUS). PPFA perturbs the random variables and automatically extracts response from the structural solver
• Choice of using either high fidelity methods (Advance Mean Value and Monte Carlo
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Fabrication Process is a Primary Source ofVariation (Scatter) in Composites
Other Sources of Scatter Include: Loading, Environment, and Service
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Ref: G. Abumeri, F. Abdi, M. Baker, M. Triplet and, J. Griffin “Reliability Based Design of Composite Over-Wrapped Tanks”. SAE World Congress, 2007, 07M-312, Detroit Mi, April 2007
Probabilistic Evaluation of Fracture Initiation Load of Composite Tank
Test Fracture Internal Pressure4,890 to 5,303 psi corresponds to cumulative probability of 0.425 to 0.70;
Test Average: 5,057 psi GENOA 50% Probability Prediction: 4,950
Test
Test
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1999 NASA Software of the Year Best of the 90’sR&D 100 Technology Yr-2000Turning Goals Into Reality 2000US Senate/Tibbets Award (SBA) yr-2001NASA CAIB Award 2004ASC has published 300+ papers and 4 books
GENOA - Award Winning Software