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Life Prediction of Composite Materials and Structures

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Title: Life Prediction of Composite Materials and Structures


1
Life Prediction of Composite Materials and
Structures
  • Scott Case
  • Materials Response Group
  • Virginia Tech
  • Blacksburg, VA 24061-0219

2
Life Prediction Definitions
  • Life
  • time/cycles/history to failure of component
  • failure - of suitability for service, based on
    measurement of stiffness, strength, properties,
    appearance, ...
  • component - may be structure, element, joint,
    bond, sub-element, ...

3
Necessity for life prediction (or Why go to all
this trouble?)
  • To certify structures for service
  • Lack of life prediction techniques is currently
    viewed as the single biggest limitation to the
    use of composite in civil infrastructure
  • To reduce the need for experimental testing
  • To design new components or structures (what if
    studies)
  • To warranty existing or new products

4
Life Prediction Issues
  • Basic Issues
  • Understanding physical degradation processes at
    the basic level
  • Modeling physical rate processes
  • Establishing independent physical observables
    that track the processes
  • Modeling the effect of combined processes
  • Validation of models on real structures

5
Life Prediction Problem Elements
  • Elements of the problem
  • Physical behavior damage and failure modes
  • Modeling discrete events, multiple processes
  • Measurements independent observables as inputs
    to the models
  • Life prediction extensions, generalizations,
    accelerations of laboratory experience

6
Objectives
  • To develop a life-prediction method based on
    remaining strength that may be applied to
    composite structures
  • To validate the method by comparing with existing
    experimental evidence

7
Basic Assumptions
  • Strength (and, as a result, life) of material
    systems is controlled by
  • Statistical accumulation of flaws subsequent
    interaction of flaws
  • Large changes in material states and stress
    states
  • Highly local level behavior (on the fiber/matrix
    scale)

8
Damage in Composite LaminatesIM7/K3B laminates
(room temperature 65UTS)
10000 cycles
20000 cycles
9
Stiffness Changes IM7/K3B laminates (room
temperature 65UTS)
10
Stiffness Changes IM7/K3B laminates (177C
65UTS)
11
The use of remaining strength as a state variable
  • Track remaining strength during fatigue process
  • Define a scalar failure function based upon
    tensor strength and stresses use this failure
    function for calculations
  • May include the effects of changing loading
    conditions
  • May be directly validated experimentally, unlike
    Miners rule

Residual Strength
12
The use of remaining strength as a state variable
  • Track remaining strength during fatigue process
  • Define a scalar failure function based upon
    tensor strength and stresses use this failure
    function for calculations
  • May include the effects of changing loading
    conditions
  • May be directly validated experimentally, unlike
    Miners rule

Residual Strength
13
The use of remaining strength as a state variable
  • Track remaining strength during the fatigue
    process
  • Define a scalar failure function based upon
    tensor strength and stresses use this failure
    function for calculations
  • May include the effects of changing loading
    conditions
  • May be directly validated experimentally, unlike
    Miners rule

Residual Strength
Sult
Stress or Strength
Life Curve
N1
N2
Cycles
14
Mathematical Representation
  • Define a failure criterion, Fa, and a remaining
    strength in terms of that failure criterion, Fr
  • Define a generalized time (for example n/N)
  • From kinetics we have the change in remaining
    strength over the interval
  • Fa is constant over
  • For the special case in which is equal to zero
  • Some possible choices for failure criteria
  • Maximum stress/strain
  • Tsai-Hill/Tsai-Wu

15
Mathematical Representation
  • Calculate change in remaining strength over the
    interval
  • Calculate number of cycles required for failure

16
Life Prediction Interactive Effects
  • Modeling combined, interactive effects
  • MRLife

17
Models Employed
  • Modeling currently included in analysis
  • MRLife
  • Viscoelastic creep--linear TTSP based upon
    constant applied stress
  • Stiffness reduction due to microcracking
    including continuum damage mechanics (Talreja)
  • Creep rupture--degradation of strength
  • Delamination growth based on strain energy
    release rate (OBrien)
  • Anisotropic elasticity solution for a plate
    containing a hole (Lekhnitskii) with stress
    redistribution due to damage
  • Life equations for the critical element
  • Rate equations for degradation processes
  • Moisture diffusion solution
  • Remaining strength equation

18
Characterize Fatigue Effect(Unidirectional
AS-4/PPS Composites)
  • Fatigue Tests at 25C
  • R 0.1
  • f 10 Hz
  • Fit data with S-N Curve

19
Characterize Temperature Effect
  • Tensile rupture tests at 90 C
  • Fit data with Kachanov-type curve

20
Predict Elevated Temperature Fatigue Behavior
  • Fatigue behavior accurately predicted at 90C, R
    0.1
  • Validates the life prediction technique for this
    case

21
Sponsors of Durability Activities
  • NASA Langley - life prediction for high
    temperature polymer composites
  • Pratt and Whitney - high-T PMCs
  • Halliburton (Wellstream) - life prediction for
    flexible risers
  • Goodyear - truck tire durability
  • McDermott Technologies - hot gas filters radiant
    burners development of new materials (CMCs)
  • Martin Marietta - continuous fiber CMCs, time
    dependence
  • Taylor Made Golf - composite golf shafts
  • Boise Cascade - building product (using recylced
    materials)
  • Owens Corning - shingles, pipe, tension members
  • Strongwell - infrastructure applications (bridge
    and bridge deck)
  • Federal Highway Administration - bridge and
    bridge deck
  • National Science Foundation - durability of
    composites for infrastructure applications
  • Johnson Johnson - bioprosthetic devices

22
Ongoing/Future work
  • Refine analysis to eliminate discrepancies
    between model/experiments
  • Incorporate with finite element analysis to
    better model progressive failure as well as
    statistical strength distributions
  • Apply analysis to out-of-plane failures
    (particularly important for infrastructure
    applications)

23
Delamination Modeling
  • Pultruded fiber reinforced polymer (FRP)
  • Hybrid Layup
  • Glass
  • Carbon
  • Non-symmetric flanges

24
Failure Mode Delamination
Observed delamination
25
Four-Point Bend FRP Beam Analysis
Moment
Ply Stresses sx, sy, txy
kxo
CLT
EIeff
Interfacial Stresses sz, txz
26
Stress Distribution in Top Flange
27
Bending Fatigue Life Prediction
New Flange Modulus
Reduce Beam Modulus
NO
YES
NO
Evaluate Stresses
Delamination?
Failure?
YES
Beam Failed
28
Bending Fatigue Life Prediction
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