US-China Winter School New Functionalities in Glass
Why Does Glass Break?
Some considerations of the mechanical properties of glass
Richard K. Brow
Missouri University of Science & Technology
Department of Materials Science & Engineering
If glass was 100X stronger, what
*new* applications would result?
New applications will benefit from stronger glass…..
Apple Store, 5th Ave., NYC Glasgow, Scotland
Train Station/Strasbourg, France
Strong glass comes in handy for other applications
Our Outline
1. Background Information
• Elastic modulus
• Fracture mechanics and strength
• Fatigue
• Strengthening
2. Two-point bend studies of pristine glass
Some useful references:
• A. Varshneya, “Fundamentals of Inorganic Glasses”, Society of Glass Technology (2006)- chap. 18
• “Elastic Properties and Short-to Medium-Range Order in Glasses”, Tanguy Rouxel, J. Am. Ceram. Soc., 90 [10] 3019–3039 (2007)
• “Environmentally Enhanced Fracture of Glass: A Historical
Perspective,” S. W. Frieman, S.M. Weiderhorn, and J.J. Mecholsky, J. Am. Ceram. Soc. 92[7] 1371-1382 (2009)
• M. Ciccotti, “Stress-corrosion mechanisms in silicate glasses,” J.
Phys. D: Appl. Phys. 42, 214006 (2009).
• C. R. Kurkjian, P. K. Gupta, R. K. Brow, and N. Lower,” The intrinsic strength and fatigue of oxide glasses’, J. Noncryst. Solids, 316, 114 (2003).
Can we connect mechanical performance to the molecular structure of glass?
E
U
r r0
U0
Elastic Modulus
Definitions?
Why should we care about modulus?
Elastic Modulus- resistance to deflection
x x
E
Why is the elastic modulus of a glass important?
• Stiffer hard-drive disks (minimize deflection at high rpm’s)
• Stiffer glass-fiber reinforces composites (larger wind- turbine blades)
• Reduce the thickness (and weight) of architectural glass)
• Increase the stiffness of glass-bearing structures (buildings, bio-glass scaffolds, etc.)
• Design glass or glass-ceramic matrices for aerospace applications
x
Poisson‟s Ratio
Elastic Modulus Is Related To The Strength of Nearest Neighbor Bonds
U
r
Force = F = - dU/dr
Stiffness = S0 = (dU2/dr2) r = r0 Elastic Modulus = E = S / r0
r0 F
r
r0
Elastic Modulus: Pascals = J/m3 a measure of the volume density of strain energy (E≈U0/V0)
U0
0 0 2
2
0 9
0
U V m n V
V U K
V
Bulk Modulus:
0 0
2 2
0 9
0
U V m n V
V U K
V
From atomistic to continuum properties:
Multi-component glasses:
) (
) ( )
(
/ /
0 0
0 0
0
y x f
f f
ai
i i
i ai
i
B A H
B H
y A
H x H
M f H
f V
U
i: density
fi: molar fraction of ith component Mi: molar mass of ith component
Hai: enthalpy of ith component (Born-Haber cycle)
E and T
gare related within a composition class
Rouxel, J. Am. Ceram. Soc., 90 [10] 3019–3039 (2007)
More cross-links:
greater E
Poisson‟s ratio appears to be sensitive to structure: packing density and „network dimensionality‟
The temperature-dependence of the Poisson‟s ratio may indicate changes in structure through the glass transition
Summary: Elasticity
•There is a limited correlation between E and Tg within compositional series, but not necessarily between
compositional types
•High elastic moduli are favored by structural disorder and atomic packing seems to be more important than bond strength
•Poisson‟s ratio ( ) correlates with atomic packing density and with network dimensionality (polymerization)
•The temperature dependence of elastic properties above Tg may be related to “fragile” and “strong” viscosity
behavior.
Glass Strength
What factors determine the strength of glass?
Theoretical Strength Can Be Estimated From the Potential Energy Curve (Orowan)
2
f=
msin( x/ ) dx
=
m/ ( )
a0
m
= E / a
0m
= [
fE / a
0]
1/2If E = 70 GPa, f = 3.5 J/m2 and a0 = 0.2nm, then
m
= 35 GPa !
How does the addition of Na
2O affect the Young’s modulus and fracture surface
energy of silica glass? Consider what Prof.
Pantano discussed the other day….
Practical strengths are significantly less than the theoretical strengths:
Common glass products 14-70 MPa
Freshly drawn glass rods 70-140 MPa
Abraded glass rods 14-35 MPa
Wet, scored glass rods 3-7 MPa
Armored glass 350-500 MPa
Handled glass fibers 350-700 MPa
Freshly drawn glass fibers 700-2100 MPa Most metals, including steels 140-350 MPa
C. E. Inglis (1913): flaws acted as stress concentrators A.A Griffith (1921): critical flaws determine strength
Stress enhancement by flaws with length 2c and radius :
yy
≈ 2
a(c/ )
1/2Calculated strength with critical flaw c*:
f
= [2
fE / c*]
1/2If E = 70 GPa, and f = 3.5 J/m2 Then a crack of 100 microns will result in a failure stress of ≈ 25 MPa
Fracture mechanics allow the evaluation of stresses in the vicinity of a propagating crack
ij
= [K / (2 r)
1/2] f
ij( )
K
Ic=
a( c)
1/2Fracture criterion when stress intensity exceeds the strain energy release rate (depends on E, f)
Cathodoluminescence measurements of stress distributions around crack tips (Pezzotti and Leto, 2007)
P, probability density
, applied stress
m
d
, applied stress
P F, cumulative failure prob. 1.0
m2 m1
Note: same „average‟
fracture strength, but m1<m2 (broader distri- bution of strengths).
ln lnln(1-P F)-1
m
An aside: Weibull Statistics
2 2
2
) exp (
2 1 d d
P m
m
PF
0
exp 1
ln 0
ln 1
ln
ln PF m
Room temperature tensile tests of pristine silica fibers drawn and tested in vacuum- bimodal distribution
14GPa
9GPa
The Ultimate Strength of Glass Silica Nanowires, G. Brambilla and DN Payne, Nano Letters, 9[2] 831 (2009)
Flame-attenuation of optical fibers
Fiber diameter (nm)
Failure strength (GPa)
E-glass fibers (tensile tests, in air)
Lower soak temperatures lead to bimodal strength distributions
Gulati, et al., Ceramic Bulletin, 83[5] 14, 2004
Concentric ring tests,
abraded Corning glass 1737, two different thicknesses.
Baikova, et al. Glass Phys. Chem., 21[2] (1995) 115.
E
Hv
LN
RT
K/Al-metaphosphate glasses
Mechanical properties depend on glass structure
Pukh et al., 2005
MD Simulations of fracture reveal the development of cavities that coalesce to form the failure site
Quenched and annealed soda-lime glasses at 5GPa tension
S. Ito and T. Taniguchi, JNCS (2004)
There may be experimental evidence for cavitation near the tips of slow-moving cracks
Aluminosilicate glass, 10-11 m/s, 45% RH, AFM Images
Célarié, et al., PRL (2003)
„Nano-ductility‟ interpretation is not universal
„Post-mortem‟ AFM
analyses of the opposing fracture surfaces show no evidence for the formation of nano-cavities
Guin and Wiederhorn, PRL (2004) Note the relatively rough surface
Fatigue
http://www.youtube.com/watch?v=r8q-R9ZISac
An example of fatigue in glass
1 e - 9 1 e - 8 1 e - 7 1 e - 6 1 e - 5 1 e - 4
Failure Strength (MPa)
1 1 0 1 0 0 1 0 0 0 1 0 0 0 0
I n h e r e n t F la w s
S t r u c t u r a l F la w s
F a b r i- c a t io n
- s c o p ic D a m a g e
V is ib le D a m a g e
P r is t in e , A s - D r a w n
P r is t in e , A n n e a le d F o r m e d G la s s
U s e d G la s s D a m a g e d
G la s s
S tatic
F atig u e
E ffe ct In sta n
ta ne o
u s S
tren gth E nd u
r a nc e
L im it
Stress Corrosion: source for static fatigue- the
reduction in strength with time
Fatigue data on silica fibers
Room temperature, ambient conditions Room temperature, vacuum
Liquid nitrogen
Note: residual
stresses increase susceptibility to static fatigue
V=dc/dt
K=P2/f(geometry)
c
Double-Cantilever Beam (DCB) used for controlled stress intensity and crack velocity experiments
Region I: stress-corrosion Region II: diffusion-limited Region III: rapid fracture (KIC) Region 0: propagation threshold
Crack propagation kinetics depend on the stress
intensity
Crack velocity (m/s)
H2O(l)
II
III
100%
30%
10%
1.0%
0.2%
0.017%
Water and stress enhance crack growth in glass
Region I: stress- corrosion
v=AK
In, where n is the„stress corrosion susceptibility factor‟
Compositional- dependence of v- K behavior in
Region I
Different glasses are more or less
susceptible to fatigue effects – We do not
understand this compositional dependence!
Borosilicate
Silica
Soda-Lime
Aluminosilicate
Temperature-
dependence of v-K
behavior in Region I
Slow crack growth is a thermally activated process
) /
0
exp( E bK RT
V
V
IChemical rate theory has been used to explain the exponential form of the V –KI curves:
where V0 is a constant, E is the activation energy for the
reaction, R is the gas constant, T is the temperature, and b is proportional to the activation volume for the crack growth process, ΔV*.
Wiederhorn, et al., JACerS, 1974
Stress-corrosion in silicate glass:
a. Adsorption of a water molecule on a strained siloxane bond at a crack tip;
b. Reaction based on proton and electron transfer;
c. Separation of silanol groups after rupture of the hydrogen bond.
Net result: extension of the crack length by one tetrahedral unit
Stress-corrosion in silicate glass:
a. Reactive molecules can donate both protons and electrons to the
ruptured siloxane bond;
b. Reactive molecules are small
enough to reach the crack tip (<0.5 nm).
Water, ammonia, hydrazine (H2N-NH2), formamide (CH3NO)
•Controlled flaws (Vicker’s indents) in S-L-S
•Aging in different environments
•Tensile tests in inert conditions (silicone oil)
•May be due to stress release- not crack geometry?
Other ‘crack-tip chemistries’ lead to strength
increasing with time
Change in crack tip geometry due to corrosion: (a) Flaw sharpening for stresses greater than the fatigue limit; (b) Constant flaw sharpness for stresses equal to the fatigue stress; (c) Flaw blunting for stresses below the fatigue limit.
.T.-J. Chuang and E.R. Fuller, Jr. “Extended Charles-Hillig Theory for Stress Corrosion Cracking of Glass,” J. Am. Ceram. Soc. 75[3] 540-45 (1992).
W.B. Hillig, “Model of effect of environmental attack on flaw growth kinetics of glass,” Int. J.
Crack-tip sharpness depends on glass structure and
corrosion conditions
AFM detects significant morphological changes around the crack-tip in aged samples
• Formation of alkali-rich regions modeled by Na+-H3O+ inter-diffusion
SLS glass, 45% RH Célarié, et al., JNCS (2007)
The ‘corrosion reactions’ at a crack tip are similar to those that occur at glass surfaces
From Prof. Jain:
A clear glass plate is made of soda lime silicate glass by pressing molten gob. It shows the following undesirable pattern upon washing in a dishwasher. Discuss this problem with your roommate. Then develop a collaborative research program to characterize and solve the problem. The proposal should be about 1500 words long.
Water plays many roles at a crack-tip
1. Chemical attack on strained bonds to extend flaws 2. Water films adsorbed on crack surfaces
3. Capillary condensation at the crack tip
4. Water diffusion into the glass network, changing elastic properties
5. Inter-diffusion with alkali ions, changing pH and
Strengthening- What can we do to make
glass stronger (or more reliable)?
• Polished surfaces
• Surface dealkalization
• Protective coatings
• Relaxation of residual stresses (annealing)
• Reduction of expansion coefficients (thermal shock)
• Thermal tempering
• Chemical tempering
• Modified compositions:
– Increasing elastic modulus and/or surface energy – Reducing stress-corrosion
– Propagation threshold – Crack healing
Annealed vs. chemically tempered glass
From Jill Glass, Sandia National Labs
Two-point bend studies of
the failure characteristics of silicate glasses
We have produced and tested pristine fibers
Box Furnace Drawing Cage
• “Pristine” 10 cm length fibers
• Fiber diameters ~125 mm.
• Fibers can be tested immediately.
TNL Tool and Technology, LLC – www.TNLTool.com
We have measured failure strains using a Two-Point Bend technique
• Face plate velocities: 1 – 10,000 mm/sec
d
f
198 .
1
TNL Tool and Technology, LLC – www.TNLTool.com
The inert failure strain measurements are reproducible
F a ilu r e S t r a in ( % )
9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0
Cumulative Failure Probability (%)
1 3 5 1 0 2 0 4 0 6 0 8 0 9 0 9 9
S ilic a m = 1 0 3
A v g
= 1 7 . 9 8 % E - G la s s
m = 1 1 9
A v g = 1 2 . 8 1 %
Eight sets of E-glass fibers, tested in liquid nitrogen, collected over two years
y = -0.00013x + 12.82 12.2
12.4 12.6 12.8 13.0 13.2
Failure strain (%)
The inert failure strain measurements are intrinsic
Criteria for ‘intrinsic’ failure properties*
•Narrow failure distributions: s(failure) < s(fiber diameter)
•Failure property (strength, strain) independent of diameter
*Gupta and Kurkjian, JNCS 351 (2005) 2343.
~180 E-glass fibers/LN2 tests
m = 131, 12.09%
m = 142, 6.29%
-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0
1.00 1.20 1.40 1.60 1.80 2.00 2.20 2.40 2.60
ln(failure strain, %)
ln(ln(1/1-f))
E-glass3 C1 P1 LN E-glass3 C2 P1 LN E-glass3 C3 P1 LN E-glass3 C3 P1 RH
m = 113, 12.05%
m = 117, 12.08%
20%RH, 26ºC
LN2
Fibers fail at lower strains
in ambient conditions
Fatigue effects can be characterized
RH / Temp. Sensor
Chamber purged with controlled humidity
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
4A
24oC, varied RH mAvg = 181
Weibull Plot of 4A (0.0% B2O3)
Tested at 24 C and different relative humidities.
FPV = 4000 m/s Increasing RH
80%
RH
10%
RH
Failure Strain (%)
3 4 5 6 7 8 9 10 12 14 1618
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
Fresh 2 days 4 days 7 days 14 days 28 days
4A Aged at 80% RH, 50oC
Tested using:
LN2, 4000 m/s
Aging effects have also been characterized
6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0
0.0 10.0 20.0 30.0 40.0 50.0
Time (Days)
Failure Strain (%)
Aging of 4A Aging of 4A2
Aging of 4C (set 1) Aging of 4C (set 2)
B-free composition
Ca-aluminoborosilicates
What might inert 2pb studies tell us about
the failure characteristics of silicate glasses?
Compositions Studied
• xNa
2O * (100-x)SiO
2• x = 0, 7, 10, 15, 20, 25, 30, 35
• xK
2O * (100-x)SiO
2• x = 0, 4.5, 7, 10, 15, 20, 25
• 25Na
2O * xAl
2O
3* (75-x)SiO
2• x = 0, 5, 10, 15, 20, 25, 30, 32.5
• xNa
2O * yCaO * (100-x-y)SiO
2– Compositions studied by Ito, et al.
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
15-85 NaSi 0-100
NaSi
20-80 NaSi
25-75 NaSi
30-70 NaSi
35-75 10-90 NaSi
NaSi 7-93 NaSi
Na-silicate inert failure strains depend on composition
Avg m ~ 259 xNa2O * (100-x)SiO2
55.0 60.0 65.0 70.0 75.0
0.00 0.10 0.20 0.30 0.40
Mole Fraction Na2O
Elastic Modulus (GPa)
UMR Bokin
Takahashi K.
Karapetyan Livshits
Sodium silicate properties
15.0 17.0 19.0 21.0 23.0 25.0
0.00 0.10 0.20 0.30 0.40
Mole Fraction Na2O
Failure Strain (%)
LN4000
Increasing NBO‟s
xNa2O * (1-x)SiO2
Na-Al-silicate inert failure strains depend on composition
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
25-5-70 NaAlSi 25-10-65
NaAlSi
25-75 Na-Si 25-25-50
NaAlSi
25-15-60 NaAlSi 25-20-55
NaAlSi 25-30-45
NaAlSi 25-32.5-42.5
NaAlSi
25Na2O * (x)Al2O3 * (75-x) SiO2
55.0 60.0 65.0 70.0 75.0 80.0 85.0
0.00 0.10 0.20 0.30 0.40
Mole Fraction Al2O3
Elastic Modulus (GPa)
UMR Livshits Yoshida
13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 21.0
0.00 0.10 0.20 0.30
Mole Fraction Al2O3
Failure Strain (%)
Na-Al-silicate properties depend on structure
Greater cross-linking:
“stiffer” structure
Fully
„cross-linked‟
0.25Na2O * (x)Al2O3 (0.75-x) SiO2
12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0
2.80 3.00 3.20 3.40 3.60 3.80 4.00
Failure Strain, %
NAS NS KS SLS
Inert failure strain decreases for ‘cross-
linked’ structures
Failure strain depends on elastic modulus
5.0 10.0 15.0 20.0 25.0
25.0 35.0 45.0 55.0 65.0 75.0 85.0
Elastic Modulus (GPa)
Failure Strain, %
NAS NS KS NB SLS Silica CABS TV Panel E-Glass C-0317
Do these measurements provide information about the strength of glass?
…depends on what we know about
the elastic modulus
Bruckner, Strength of Inorg. Glass 1986
Elastic modulus depends on strain
E-glass fibers Na/Li-phosphate fibers
Strain dependence of modulus has been modeled
Converting failure strain to failure stress requires knowledge of Y( ): Gupta and Kurkjian, JNCS 351 (2005) 2343
Y( ) = Y0+Y1 +(Y2/2) 2 ; f = f[(2/3)Y0+(Y1/6) f]
Failure strengths can be calculated if Y( ) is known
5.0 10.0 15.0 20.0 25.0
4.0 6.0 8.0 10.0 12.0 14.0 16.0
0.0 10.0 20.0 30.0 40.0
Inert Failure Strain (%)
Mechanical Property (GPa)
mole % Na2O
stress
Pukh, et al.
strain
What role is played by ‘critical flaws’?
• There are no apparent surface heterogeneities.
• If Griffith flaws are responsible for low strengths, they will be in the range of 2-7 nm,
depending on the flaw (stress concentrator) geometry.
0 2 4 6 8 10 12 14 16
0 5 10 15
Griffith Flaw Size (nm)
Failure Strength (GPa) .
13GPa -> 1.4 nm flaw 6GPa -> 6.7 nm flaw
2 1
2 E
6 7 8 9 10 11 12 13
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
Advantex C2P5 2:00 at 1180oC
m = 7
Avg = 10.36%
Advantex C2 P3 2:00 at 1250oC
m = 60
Avg = 12.11%
Advantex C2 P4 2:00 at 1200oC
m = 9
Avg = 10.88%
Advantex C2 P2 12:00 at 1350oC
m = 129
Avg = 12.18%
Advantex Failure Strains
4 5 6 7 8 9 10 11 12 13
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
Advantex C2 P11 3:00 at 1350oC
m = 55
Avg = 11.88%
Advantex C2 P8 0:30 at 1350oC
m = 3
Avg = 8.51%
Advantex C2 P2 12:00 at 1350oC
m = 129
Avg = 12.18%
Advantex C2 P9 1:00 at 1350oC
m = 4
Avg = 9.34%
Advantex C2 P10 2:00 at 1350oC
m = 35
Avg = 11.73%
Weibull distributions of fibers drawn after different melt histories. Weibull modulus (m), average failure strain ( Avg), and melt history are reported for each data set.
Some questions related to Prof. Sen‟s lecture:
What type of heterogeneities might account for these distributions in failure strains?
What techniques could you use to characterize these heterogeneities?
4 . 0 5 . 0 6 . 0 7 . 0 8 . 0 9 . 0 1 0 . 0 1 1 . 0 1 2 . 0 1 3 . 0
Failure Strain, %
1 1 0 0 1 1 5 0 1 2 0 0 1 2 5 0 1 3 0 0 1 3 5 0
Melting Temperature (C)
F a ilu r e S t r a in s
M e lt in g T e m p e r a t u r e
TF ~ 1 3 5 0 º C
TL ~ 1 2 0 0 º C
T h e r m a l H is t o r y
I m p r o v in g
D e g r a d in g
I m p r o v in g
G la s s b e h a v e s s t r a n g e ly a t TL- 5 0
Advantex Thermal History Summary
Crystallites form
When the glass was melted at 1350ºC, the failure strain distributions narrow with time.
Failure strain distributions begin to broaden when melts are cooled to TL+50ºC.
How does glass break?
Inert ‘failure rate’ studies
F a i l u r e S t r a i n ( % )
1 6 . 5 1 7 1 7 . 5 1 8 1 8 . 5
Cumulative Failure Probability (%)
1 3 5 1 0 2 0 4 0 6 0 8 0 9 0 9 9
I n c r e a s i n g V
f p
S i l i c a
m A v g= 1 3 2
5 m / s 1 0 , 0 0 0
m / s
F a i l u r e S t r a i n ( % )
1 6 1 6 . 5 1 7 1 7 . 5 1 8
Cumulative Failure Probability (%)
1 3 5 1 0 2 0 4 0 6 0 8 0 9 0 9 9
D e c r e a s i n g V
f p
1 0 - 1 0 - 8 0 S L S m A v g= 1 8 9
5 m / s 4 , 0 0 0 m / s
‘Normal’ Inert Fatigue
Inert Delayed Failure Effect
2.8 2.81 2.82 2.83 2.84 2.85 2.86 2.87 2.88 2.89 2.9
0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0
ln (failure strain, %)
10-10-80 SLS Silica
n = 1 / (dln( / dln(Vfp)) n = 365
Inert ‘failure rate’ studies
The inert delayed failure effect depends on structure
-0.020 0.000 0.020 0.040 0.060 0.080 0.100
2.80 3.00 3.20 3.40 3.60 3.80 4.00
Bridging Oxygens/Former Inert Delayed Failure Effect (50-4000)/50)
NAS NS KS SLS
Failure strain measurements also correlate with crack initiation loads
14 15 16 17 18 19 20 21
Failure Strain (%)
0.5 0.7 1.0 1.2 1.5 1.7 2.0
Crack initiation load (N)
Satoshi Yoshida, 2003
0.25Na2O * (x)Al2O3 * (0.75-x) SiO2
More Brittle
Failure strain measurements may provide information about ‘less brittle’ glasses
Setsuro Ito, 2002
2 / 3 4
/
39 1
. 2
a P C
B s
Brittlenes
P is applied load, C is crack length, and a is Vickers
indentation diagonal length
“Brittleness parameter” has been determined from
indentation measurements
Soda-lime silicate glasses exhibit the ‘delayed failure’
effect
Failure Strain (%)
17.5 18 18.5 19 19.5 20 20.5 21
Cumulative Failure Probability (%)
1 3 5 10 20 40 60 80 90 99
20-10-70 SLS mAvg = 326
15-10-75 SLS mAvg = 261 15-5-80
SLS mAvg = 345
Each glass possesses a large IDFE.
Closed symbols 4000 mm/sec, Open symbols
50 mm/sec
-2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0
IDFE (Missouri S&T)
Silica Soda-lime &
borosilicate glasses
‘Brittleness’ and ‘inert delayed failure’
may be related
Is IDFE related to network relaxation?
Day & Rindone, 1962
NBO motion?
Na diffusion
Is there a universal dependence of glass failure characteristics on network structure?
8.0 12.0 16.0 20.0 24.0
Failure strain, %
NS NAS KS SLS Silica CABS TV Panel E-glass C-0317 TiMgAlSi
LN depends on E (IDFE≤0) 2. Silica is anomalous
LN depends on network relaxation (IDFE>0)
WOULD ‘INSTANTANEOUS’ FAILURE STRAINS ALL FALL ON A STRAIGHT
LINE??
Summary
Inert failure strains are sensitive to the composition/structure of glass fibers.
f increases when NBO’s replace BO’s
f increases when Young’s modulus decreases
Inert failure strains are dependent on the applied stressing rates (Vfp).
Structure with non-bridging oxygens fail at larger strains with slower Vfp.
‘Framework’ structures do not exhibit this ‘inert delayed failure effect’.
Is IDFE due to relaxation of the network? What role is played by the NBO’s?