Upload
dan-m-frangopol
View
217
Download
3
Embed Size (px)
Citation preview
Reliability of fiber-reinforced composite laminate plates
Dan M. Frangopola,*, Sebastien Recekb
aDepartment of Civil, Environmental and Architectural Engineering, Campus Box 428, University of Colorado, Boulder, CO 80309-0428, USAbFrench Institute for Advanced Mechanics, IFMA, Campus des Cezeaux, Aubiere 63170, France
Abstract
Many engineering structures ranging from aircrafts, spacecrafts and submarines to civil structures, automobiles, trucks and rail vehicles,
require less weight and more stiff and strong materials. As a result of these requirements, the use of composite materials has increased during
the past decades. In fact during the past five years, we have witnessed exponential growth in research and field demonstrations of fiber-
reinforced composites in civil engineering. Manufacturers and designers have now access to a wide range of composite materials. However,
they face great problems with forecasting the reliability of composites materials. Due to the differences among the properties of materials
used for composites, manufacturing processes, load combinations, and types of environment, the prediction of reliability of composites is a
very complex task. In this study, the reliability of fiber-reinforced composite laminate plates under random loads is investigated. The
background of the problem is defined, the failure criterion chosen is presented, and the probability of failure is computed by Monte Carlo
simulation.
q 2003 Elsevier Science Ltd. All rights reserved.
Keywords: Fiber-reinforced; Composite materials; Laminate plate; Reliability; Monte Carlo simulation
1. Introduction
A composite is made of two types of materials: matrix
and reinforcement. Often, composites use fibers as
reinforcement, such as graphite, glass or polymer fibers.
Fiber-reinforced composites (FRCs) are the most commonly
used composite materials. Usually, fibers have different
mechanical properties than the matrix. FRCs are exhibiting
directional characteristics under loads. This is mainly due to
their naturally anisotropic material behavior.
There is a wide variety of FRCs. The three types of fibers
quoted previously define the three largest families of
composite materials. The type of matrix and the shape of
the fibers provide different materials. For example, fibers
can be put in only one direction in the material or can be
woven or even cut and randomly distributed in the matrix.
Mechanical properties of FRCs are dependent on the
shape of fibers used within the material. For example, if the
fibers are cut in small parts (1–30 mm usually) and put
randomly in the matrix, the resultant composite will have an
isotropic behavior. This type of fiber-reinforced material is
used mainly on low performance parts produced in great
series. If FRCs use fibers that run all the length of the
composite in only one direction, the mechanical properties
will vary with the direction of load. The composite will have
stronger mechanical properties in the direction of fibers and
weaker in any other direction.
There have been a large number of studies on stress and
strength analysis of FRCs and various failure criteria are
used [2–4,6,8,10–14]. Most of these studies are determi-
nistic. However, some of them use statistical models for
describing the failure process but neglect the randomness in
loading. Since it is generally recognized that stress, strength
and failure of FRCs are non-deterministic, concepts and
methods of probability have to be used for the evaluation of
reliability and development of acceptance and design
criteria for FRCs [1,9].
This study focuses on fiber-reinforced composite
materials with unidirectional fibers, especially on laminate
plates under random loads. Since a macro-mechanical level
of analysis is used, only the properties along and
perpendicular to the fiber direction are considered (i.e.
microstructure of the lamina is ignored). At this level, only
the average properties of the lamina are considered
important [14]. The background of the study is defined,
the failure criterion chosen is presented, and the probability
of failure is computed by Monte Carlo simulation.
0266-8920/03/$ - see front matter q 2003 Elsevier Science Ltd. All rights reserved.
doi:10 . 1 01 6 /S02 6 6- 89 2 0( 02 )0 00 5 4- 1
Probabilistic Engineering Mechanics 18 (2003) 119–137
www.elsevier.com/locate/probengmech
* Corresponding author. Tel.: þ1-303-492-7165; fax: þ1-303-492-7317.
E-mail address: [email protected] (D.M. Frangopol).
2. Background
2.1. Laminate plate
Consider a composite laminate plate with n layers as
shown in Fig. 1. Each layer is a composite material made of
fibers in a matrix. All fibers are oriented in the same
direction within each layer (i.e. the principal direction 1 in
Fig. 2). This orientation produces considerably higher
mechanical properties in principal direction 1 than in the
perpendicular direction (i.e. principal direction 2 in Fig. 2).
The fibers of various layers can be oriented in different
directions in the horizontal (i.e. (x,y)) plane shown in Fig. 1.
Due to these different orientations of fibers in layers, the
laminate plate can be designed specifically for prescribed
load directions and combinations.
2.2. Kirchhoff hypothesis
Due to the small thickness of a layer compared to the
other two dimensions, the layer is considered as a plate.
Therefore, the classical plate theory proposed by Kirchhoff
in the mid 1800s can be used.
A global Cartesian coordinate system is defined as
follows: x and y are two perpendicular axes in the plane of
the plate, and the origin of coordinate z is located in the
geometric midplane of the plate [5].
According to Kirchhoff, a line normal to initial
geometric midplane of the plate will remain straight and
normal to the deformed geometric midplane, despite
deformations caused by loads. A displacement of a point
belonging to a normal line to the plate is composed of a
translation and a rotation. Therefore, the displacements of
all points belonging to a normal line are linked. Following
Ref. [5], the displacements along x, y and z are denoted as
uðx; y; zÞ; vðx; y; zÞ and wðx; y; zÞ; respectively.
The intersection of the normal to the plate with the
midplane is denoted P 0. This point can only translate in the
ðx; yÞ plane when the plate is stressed. The displacements of
P 0 in the directions x, y, and z are denoted u 0(x,y), v 0(x,y),
and w 0(x,y), respectively. The displacements of an
unspecified point of the normal line to the plate can be
obtained by the following relations [5]:
uðx; y; zÞ ¼ u0ðx; yÞ2 z›w0ðx; yÞ
›xð1Þ
vðx; y; zÞ ¼ v0ðx; yÞ2 z›w0ðx; yÞ
›yð2Þ
wðx; y; zÞ ¼ w0ðx; yÞ ð3Þ
The displacement along the z-coordinate is explicit. There-
fore, the behavior of the entire plate may be extrapolated
from the behavior of its geometric midplane. The following
development is summarized from Ref. [5].
The strains in the three directions x, y and z are,
respectively, as follows
1xðx; y; zÞ ¼ 10xðx; yÞ þ zx0
xðx; yÞ ð4Þ
1yðx; y; zÞ ¼ 10yðx; yÞ þ zx0
yðx; yÞ ð5Þ
gxyðx; y; zÞ ¼ g0xyðx; yÞ þ zx0
xyðx; yÞ ð6Þ
where
10xðx; yÞ ¼
›u0ðx; yÞ
›xand x0
xðx; yÞ ¼ 2›2w0ðx; yÞ
›x2ð7Þ
10yðx; yÞ ¼
›v0ðx; yÞ
›yand x0
yðx; yÞ ¼ 2›2w0ðx; yÞ
›y2ð8Þ
g0xy ¼
›v0ðx; yÞ
›xþ
›u0ðx; yÞ
›yand x0
xy ¼ 22›2w0ðx; yÞ
›x›yð9Þ
The midplane strain vector is
{1} ¼
10x
10y
g0xy
8>>><>>>:
9>>>=>>>;
ð10Þ
and the midplane change of curvature and twist vector is:
{x} ¼
x0x
x0y
x0xy
8>>><>>>:
9>>>=>>>;
ð11Þ
Fig. 2. Composite layer.
Fig. 1. Composite n-layer laminate plate.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137120
2.3. Layer stresses
Each layer k is a plate having a plate-like stiffness matrix
in principal axes
CðkÞ ¼
CðkÞ11 CðkÞ
12 0
CðkÞ12 CðkÞ
22 0
0 0 CðkÞ44
26664
37775 ð12Þ
with
CðkÞ11 ¼
EðkÞ1
1 2 nðkÞ12n
ðkÞ21
ð13Þ
CðkÞ12 ¼
EðkÞ1 vðkÞ21
1 2 nðkÞ12n
ðkÞ21
¼EðkÞ
2 nðkÞ12
1 2 nðkÞ12n
ðkÞ21
ð14Þ
CðkÞ22 ¼
EðkÞ2
1 2 nðkÞ12n
ðkÞ21
ð15Þ
CðkÞ44 ¼ GðkÞ
12 ð16Þ
where EðkÞ1 and EðkÞ
2 are elastic moduli in directions 1 and
2 of layer k, nðkÞ12 and nðkÞ21 are Poisson ratios in directions
1 and 2 of layer k, GðkÞ12 is the shearing modulus
associated with direction 1 and 2 of layer k, and E1=E2 ¼
n12=n21:
The stiffness matrix links stress, strain, curvature and
twist of the layer k in principal axes as follows:
sðkÞ1
sðkÞ2
tðkÞ12
8>>><>>>:
9>>>=>>>;¼ CðkÞ
1ðkÞ1
1ðkÞ2
gðkÞ12
8>>><>>>:
9>>>=>>>;
ð17Þ
Using Eqs. (4)–(6), Eq. (17) becomes:
sðkÞ1
sðkÞ2
tðkÞ12
8>>><>>>:
9>>>=>>>;¼ CðkÞ
10ðkÞ1
10ðkÞ2
g0ðkÞ12
8>>><>>>:
9>>>=>>>;þ z
x0ðkÞ1
x0ðkÞ2
x0ðkÞ12
8>>><>>>:
9>>>=>>>;
0BBB@
1CCCA ð18Þ
To obtain this matrix in geometrical axes ðx; y; zÞ; a rotation
matrix is introduced as follows
TðkÞ ¼
cos2uðkÞ sin2uðkÞ 2sinuðkÞcosuðkÞ
sin2uðkÞ cos2uðkÞ 22sinuðkÞcosuðkÞ
2sinuðkÞcosuðkÞ sinuðkÞcosuðkÞ cos2uðkÞ2 sin2uðkÞ
266664
377775
ð19Þ
where u (k) is the orientation of fibers in layer k, measured
counterclockwise from the þx axis to the þy axis [5].
Using the rotation matrix (19) and the stiffness matrix in
principal axes, a stiffness matrix �C is defined in geometrical
axes as follows:
�CðkÞ ¼ TðkÞ21CðkÞTðkÞ ð20Þ
Therefore, the stress–strain relations associated with the
layer k are:
sðkÞx
sðkÞy
tðkÞxy
8>>><>>>:
9>>>=>>>;
¼ �CðkÞ
10ðkÞx
10ðkÞy
g0ðkÞxy
8>>><>>>:
9>>>=>>>;2 z
x0ðkÞx
x0ðkÞy
x0ðkÞxy
8>>><>>>:
9>>>=>>>;
0BBB@
1CCCA ð21Þ
2.4. Stress in each layer of a laminate plate
Given the loading and the dimensions of the laminate
plate, the stresses in each direction of the plate are easy to
calculate. Each layer has a different stiffness due to fiber
orientation and/or different material. Therefore, in each
layer a relation is needed between applied loads and
stresses.
An important hypothesis is the assumption of perfect
bond between layers. This implies that the laminate plate
will have the displacement and strain behavior of a
homogenous plate. The following development is summar-
ized from Ref. [2].
Consider a laminate plate subjected to distributed forces
Nx, Ny, Nz, distributed moments Mx, My, Mz and concen-
trated p and distributed q loads normal to the plate.
The contribution of each layer k to the stress-resultants
{N} and stress-couples {M} of the plate is given by:
NðkÞx ¼
ðzk
zk21
sðkÞx dz ð22Þ
NðkÞy ¼
ðzk
zk21
sðkÞy dz ð23Þ
NðkÞxy ¼
ðzk
zk21
tðkÞxy dz ð24Þ
MðkÞx ¼
ðzk
zk21
sðkÞx z dz ð25Þ
MðkÞy ¼
ðzk
zk21
sðkÞy z dz ð26Þ
MðkÞxy ¼
ðzk
zk21
tðkÞxy z dz ð27Þ
For a plate with n layers, the stress-resultant and stress-
couple are obtained by the summation of Eqs. (22)–(27)
over n layers. Substituting Eqs. (22)–(27) into Eq. (21) and
performing this summation results in
{N} ¼ A{1} 2 B{x} ð28Þ
{M} ¼ B{1} 2 D{x} ð29Þ
where the plate midplane stress-resultant vector is {N} ¼
{Nx;Ny;Nxy}T and the plate midplane stress-couple vector is
{M} ¼ {Mx;My;Mxy}T; and
Aij ¼Xn
k¼1
�CðkÞij ðhk 2 hk21Þ ð30Þ
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 121
Bij ¼1
2
Xn
k¼1
�CðkÞij ðh
2k 2 h2
k21Þ ð31Þ
Dij ¼1
3
Xn
k¼1
�CðkÞij ðh
3k 2 h3
k21Þ ð32Þ
where hk is the maximum distance (always positive) from
the most distant surface of the layer to the midplane surface.
Solving Eq. (28) leads to the following result:
{1} ¼ A21{N} þ A21B{x} ð33Þ
Substituting Eq. (33) into Eq. (29) gives
{M} ¼ BA21{N} þ ðBA21B 2 DÞ{x} ð34Þ
and
{x} ¼ ðBA21B 2 DÞ21ð{M} 2 BA21{N}Þ ð35Þ
{1}¼A21{N}þA21BðBA21B2DÞ21ð{M}2BA21{N}Þ
ð36Þ
In Eqs. (35) and (36) the total strain of the laminate plate is
defined in function of the applied load and stiffness matrix
of each layer. Now stresses in layer k are obtained using this
layer stiffness matrix and z-coordinate, and the midplane
strain vectors {1} and {x} as follows:
sðkÞx
sðkÞy
tðkÞxy
8>>><>>>:
9>>>=>>>;¼ �CðkÞð{1}2 z{x}Þ ð37Þ
Fig. 3. Tsai–Wu failure ellipsoid; 3D representation.
Fig. 4. Tsai–Wu failure ellipsoid for different values of t12.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137122
sðkÞ1
sðkÞ2
tðkÞ12
8>>><>>>:
9>>>=>>>;¼TðkÞ �CðkÞð{1}2 z{x}Þ ð38Þ
Or, based on Eq. (20)
sðkÞ1
sðkÞ2
tðkÞ12
8>>><>>>:
9>>>=>>>;¼CðkÞTðkÞð{1}2 z{x}Þ ð39Þ
where {x} and {1} are given by Eqs. (35) and (36),
respectively.
3. Failure criterion
As indicated in Ref. [5], there are many issues surrounding
the subject of failure of composite materials and many
mechanisms must be considered when studying failure of
these materials. Knowing the applied loads on the laminate
plate, it is possible to determine the principal stresses in each
layer. A criterion is needed in order to predict if the principal
stresses lead to layer failure. The most commonly used
criteria for failure of polymer–matrix composites are the
maximum stress and the Tsai–Wu criteria [5].
In this study, the failure criterion chosen for fiber-
reinforced composite laminate plates is the Tsai–Wu
criterion [5]. This criterion is used to determine the failure
of an orthotropic material. An orthotropic material has
different mechanical properties in three mutually perpen-
dicular directions denoted as 1, 2, and 3, respectively.
Fiber-reinforced composite materials are considered ortho-
tropic in the principal material coordinate system.
The Tsai–Wu criterion for a composite material plane
layer element subject to stresses in its principal directions is
expressed as [5]:
(a) Survival criterion
F1s1 þ F2s2 þ F11s21 þ F22s
22 þ F66t12
2ffiffiffiffiffiffiffiffiffiF11F22
ps1s2 , 1 ð40Þ
(b) Failure criterion
F1s1 þ F2s2 þ F11s21 þ F22s
22 þ F66t12
2ffiffiffiffiffiffiffiffiffiF11F22
ps1s2 ¼ 1 ð41Þ
Fig. 5. Tsai–Wu failure ellipsoid for different values of s2.
Fig. 6. Tsai–Wu failure ellipsoid for different values of s1.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 123
where
F1 ¼1
sT1
þ1
sC1
ð42Þ
F2 ¼1
sT2
þ1
sC2
ð43Þ
F11 ¼ 21
sT1s
C1
ð44Þ
F22 ¼ 21
sT2s
C2
ð45Þ
Fig. 7. Effect of correlation, r(s1,s2), on the probability of failure in tension–tension. (a) Arithmetic scale and (b) logarithmic scale for failure probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137124
F66 ¼1
t F12
!2
ð46Þ
where sCi is the compression strength in the direction
i (negative value), sTi is the tension strength in
the direction i (positive value), and tF12 is the shear
strength in the plane 1–2.
The inequality F1s1 þ F2s2 þ F11s21 þ F22s
22 þ
F66t12 2ffiffiffiffiffiffiffiffiffiF11F22
ps1s2 . 1 is physically impossible
Fig. 8. Effect of t12 on the probability of failure in tension–tension. (a) Arithmetic scale and (b) logarithmic scale for failure probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 125
since, for given applied loads, the stress will grow until
Eq. (41) is satisfied and there will be degradation of the
effective properties that will change sCi ; sT
i ; tF12:
However, we may assume that, for given s1, s2, s12,
the event
F1s1þF2s2þF11s21þF22s
22þF66t122
ffiffiffiffiffiffiffiffiffiF11F22
ps1s2.1 ð47Þ
represents failure.
Fig. 9. Probability of failure in tension–tension and in compression–compression for different correlations r(s1,s2). (a) Arithmetic scale and (b) logarithmic
scale for failure probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137126
The Tsai–Wu criterion leads to the failure ellipsoid,
whose equation in s1, s2, t12 space is Eq. (41). If a point
ðs1;s2; t12Þ is inside the ellipsoid there is no failure, if it is
on or outside the ellipsoid failure occurs.
Figs. 3–6 are different graphical representations of the
Tsai–Wu ellipsoid. The material is graphite-reinforced
epoxy composite with the following properties (see Ref. [5],
page 396): sT1 ¼ 1500 MPa; sC
1 ¼ 21250 MPa; sT2 ¼ 50
MPa; sC2 ¼ 2200 MPa and tF
12 ¼ 100 MPa:
Fig. 3 shows the 3D representation of the ellipsoid. It is
noted that using the above values, one stress is dominant.
This is the stress in the direction of fibers s1. In this
direction, the layer can support more stress.
Figs. 4–6 show cross-sections of the ellipsoid for
different values of the stresses t12, s2 and s1, respectively.
4. Probability of failure
The purpose herein is to calculate the probability of
failure of a FRC laminate plate under random loads. As
indicated previously (a) the principal stresses associated
with each layer of a laminate plate can be computed, and (b)
there is a failure criterion based on these principal stresses.
The next step is to use this information in a reliability
model. Unfortunately, principal stresses calculation
methods and the Tsai–Wu criterion lead to a very complex
expression to compute the probability of failure analytically.
A direct way to compute this probability of failure is by
Monte Carlo simulation. For this particular study Monte
Carlo simulation is preferable to first and second order
reliability methods since non-linear complex behavior does
not complicate the basic procedure.
4.1. Single-layer laminate plate
This section concentrates on a single layer of graphite-
reinforced epoxy composite material with properties
indicated in Ref. [5], considering principal stresses as
lognormal distributed random variables. The lognormal
distribution was chosen since no information on the type of
distribution for principal stresses was available for this
study. The mean values of s1 and s2 are assumed to satisfy
the relation Eðs1Þ ¼ 25Eðs2Þ: The coefficient of variation of
each random variable is assumed the same Vðs1Þ ¼
Vðs2Þ ¼ Vðt12Þ: Monte Carlo simulation was performed
by using the software MONTE [7]. The results of these
simulations are shown in Figs. 7–9. In these figures, the
deterministic material properties sC1 and sC
2 are indicated in
absolute values.
Fig. 7 shows the effects of the mean value of the principal
stress s1, E(s1), and the coefficient of correlation between
principal stresses, r(s1,s2), on the probability of failure Pf
for the tension–tension case (i.e. s1 . 0, s2 . 0 and
t12 ¼ 0). As indicated, an increase in correlation increases
the probability of failure in the range of interest (say,
Pf , 1023).
Fig. 8 shows the results of simulation for the tension–
tension case without correlation (i.e. s1 . 0, s2 . 0 and
t12 – 0) considering deterministic and random shear stress,
t12. It is noted that the values of t12 are too small to change
significantly the results shown in Fig. 7.
The probabilities of failure in tension– tension and
compression–compression are compared in Fig. 9. As
indicated the reliability in tension–tension is much lower
than in compression–compression. This is due to the
asymmetry of the Tsai–Wu failure ellipsoid shown in Fig. 3.
4.2. Two-layer laminate plate
4.2.1. Uniaxial tension
Consider the glass–epoxy composite laminate plate
constituted of two layers with perpendicular fiber directions
shown in Fig. 10. For the representation of simulation
results the Cartesian coordinate system shown in Fig. 10 is
used, due to its convenience, for the remaining part of this
study. It is noted that this system is different from that used
for the derivation of mechanics aspects of FRCs in Fig. 1.
The only load is Nx. The mechanical properties of the glass-
epoxy composite used for simulations are as follows [5]:
E1 ¼ 55 GPa, E2 ¼ 18 GPa, n12 ¼ 0.25, n21 ¼ 0.08 and
G12 ¼ 8 GPa.
The probability of failure is computed by Monte Carlo
simulation using the software MONTE [7]. The user file of
MONTE has been modified to enable resultant forces input
instead of stress input. The results are shown in Fig. 11. The
layer whose fibers are perpendicular to the applied force (i.e.
layer 1) has a much greater chance to fail before the layer
whose fibers are in the direction of the force (i.e. layer 2). If
layer 1 does not fail before layer 2 (e.g. layer 1 made of a
more resistive material than layer 2, but with same stiffness
matrix), the probability of failure of layer 2 given that layer
1 survives, PðF2lS1Þ; is larger than the probability of failure
of layer 2 alone PðF2lS1Þ . PðF2Þ:
The presence of layer 1 creates twists and changes
of curvature that do not exist when layer 2 is alone.
Fig. 10. Two-layer laminate plate under uniaxial tension.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 127
This produces extra stresses causing failure of layer 2
sooner. For this reason the presence of layer 1 increases
the probability of failure of layer 2. On the other hand,
the presence of layer 2 decreases the probability of
failure of layer 1 alone, PðF1lS2Þ , PðF1Þ:
The probability of failure of the plate, PðFPLATEÞ;
assumed as a weakest-link system, was calculated
by Monte Carlo simulation [1]. The results indicate
that PðFPLATEÞ is almost equal to the probability of
failure of layer 1. This is due to the fact that
Fig. 11. Probability of failure of the layers of the plate shown in Fig. 10. (a) Arithmetic scale and (b) logarithmic scale for failure probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137128
the probability of failure of layer 1 is much greater
than that of layer 2.
4.2.2. Biaxial tension
If an additional force Ny is applied on the same plate,
Ny ¼ Nx; in the perpendicular direction to Nx, the
probability of failure of each layer will be the same
(Fig. 12). This is due to the symmetry of the system and
the assumptions that only loads are random variables.
The probability of failure of the plate is greater than
the probability of failure of each layer, due to the
assumption of a series system.
As expected, the probability of failure of the plate under
biaxial tension Nx and Ny is greater than the probability of
the same plate under uniaxial tension Nx (Fig. 13). However,
the increase of the probability of failure in the biaxial case is
not dramatic. This is because the plate may support either Nx
alone, or Ny alone, or both Nx and Ny without significant
change in the probability of failure. However, if the plate is
intended to support only a load in a single direction, it is
Fig. 12. Two-layer laminate plate under biaxial tension: probability of failure of layers and plate. (a) Arithmetic scale and (b) logarithmic scale for failure
probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 129
obviously better to use a plate with all fibers in the direction
of the force.
4.3. Thickness of layers effect
Consider a two-layer laminate plate under biaxial tension
and denote t1 the thickness of layer 1, whose fibers are
oriented along y-axis, and t2, the thickness of the layer,
whose fibers are oriented along x-axis (i.e. a [90,0] laminate
plate). The uniform distributed loads Nx and Ny are both
lognormal with mean values of 200 and 100 kN/m,
respectively, and same coefficient of variation VðNxÞ ¼
VðNyÞ ¼ 0:20: The material properties are those specified in
Fig. 10, where the values chosen for the Tsai–Wu failure
criterion are taken from Ref. [5].
What should the thickness ratio of the two layers t1/t2be in order to minimize the probability of failure? We
may wrongly answer that the layer whose fibers’
orientation is 08 (i.e. layer 2) should be twice as thick
as the one whose fibers’ orientation is 908 (i.e. layer 1),
Fig. 13. Comparison of probabilities of failure of a two-layer laminate plate under uniaxial and biaxial tension. (a) Arithmetic scale and (b) logarithmic scale for
failure probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137130
Fig. 14. Probability of failure of a two-layer laminate under biaxial tension: effect of layer thickness ratio.
Fig. 15. Two-layer laminate plate under uniaxial tension with the fibers in layer 1 normal to the direction of tension. Three different orientations of fibers in
layer 2.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 131
as it carries a load two times greater. In order to provide
the correct answer, the thickness of layer 1, t1, is varied
keeping thickness of layer 2 constant, t2 ¼ 3 mm: In this
study, the thickness of 3 mm for layers was chosen for
simulation demonstration purposes. The probability of
failure of the plate is indicated in Fig. 14. The best
choice is to eliminate layer 1. In this case, layer 2 under
both loads, Nx and Ny, has maximum reliability.
This proves that adding a layer in order to support a force
perpendicular to the fibers may actually increase the
probability of failure of the plate if the thickness of this
layer is not chosen rationally.
Fig. 16. Two-layer laminate plate under uniaxial tension with the fibers in layer 1 normal to the direction of tension. Effect of orientation of fibers in layer 2 on:
(a) probability of failure of layer 2, (b) probability of failure of layer 1, and (c) probability of failure of the plate.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137132
4.4. Fibers’ orientation effect
Consider the glass–epoxy laminate plate in Fig. 10
constituted of two layers whose thicknesses are 3 mm under
a uniform uniaxial load Nx (see Fig. 15). The first layer’s
fibers are perpendicular to the force Nx (i.e. 908). However,
the orientation of the second layer’s fibers, u2, varies from
90 to 08. The probability of failure of the plate with respect
to the orientation of the fibers of the second layer is plotted
in Fig. 16.
Fig. 16 (continued )
Fig. 17. Two-layer laminate plate under uniaxial tension with the fibers in layer 1 along the direction of tension. Three different orientations of fibers in layer 2.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 133
When u2 increases the probability of failure of layer 2
under the random lognormal distributed load Nx increases
(Fig. 16(a)), but the probability of failure of layer 1 may
increase or decrease (Fig. 16(b)). This is due to the presence
of a layer carrying a load perpendicular to its fibers. The
probability of failure of the plate shows a minimum for
u2 ¼ 308 (Fig. 16(c)).
The inverse problem is also addressed herein. The
angle of the first layer’s fibers is set to 08 and the second
layer’s fiber orientation angle varies from 0 to 908
(Fig. 17). In this case, as indicated in Fig. 18(a), the
probability of failure of the second layer increases when
u2 increases, but the probability of failure of layer 1 does
not necessarily increase when u2 increases (see
Fig. 18(b)). However, the lowest probability of failure
is when u2 ¼ 08: The probability of failure of the plate is
minimal for fibers’ orientation of 08 in both layers
(Fig. 18(c)).
Fig. 18. Two-layer laminate plate under uniaxial tension with the fibers in layer 1 along the direction of tension. Effect of orientation of fibers in layer 2 on: (a)
probability of failure of layer 2, (b) probability of failure of layer 1, and (c) probability of failure of the plate.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137134
4.5. Four-layer laminate plate
Finally, the four-layer laminate plate [0,45, 2 45,0] in
Fig. 19 is considered. The orientation of fibers of the two
external layers (i.e. 1 and 4) is 08. The orientations of fibers
of the internal layers 2 and 3 are 45 and 2458, respectively.
The thickness of all layers is the same, ti ¼ 3 mm; and the
uniaxial uniform distributed tension Nx is lognormal with
20% coefficient of variation.
Since the internal layers have the fibers oriented in
perpendicular directions, the plate is not symmetric but
its behavior under the uniaxial uniform distributed load
has symmetry. This implies that, for a given load Nx,
stresses are the same in layers 1 and 4 or in layers 2 and
3. For this reason, the external layers, or the internal
layers, have the same failure probabilities. This is clearly
indicated in Fig. 20. This figure also shows that the
reliability of the internal layers is much lower than that
of external layers. Consequently, the probability of
failure of the plate, considered as a weakest-link system,
will be close to the probability of failure of its internal
layers (i.e. layer 2 or 3).
Fig. 18 (continued )
Fig. 19. Four-layer laminate plate under uniaxial tension.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 135
5. Conclusions
Based on the results presented in this paper, the
following conclusions can be made.
1. Concepts and methods of probability have to be used for
the reliability evaluation and development of acceptance
and design criteria for FRCs.
2. There are some studies describing the failure process by
using statistical models for strength and failure of FRCs.
However, most of the studies neglect the randomness in
loading.
3. The reliability of a composite laminate plate is not easy
to evaluate. Each layer has a different strength due to its
fibers’ orientation and, therefore, a different reliability.
For reliability computations, a laminate plate is
Fig. 20. Probability of failure of the layers of the four-layer laminate plate shown in Fig. 19. (a) Arithmetic scale and (b) logarithmic scale for failure
probability.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137136
considered as a series system of different layers. The
Tsai–Wu failure criterion can be used in conjunction
with Monte Carlo simulation.
4. The presence of an additional layer in a composite
laminate plate does not necessarily increase the
reliability of the plate. In fact, it is possible that this
additional layer increases the probability of failure of
other layers. For this reason, it is necessary to consider
layer-interaction effects in evaluating the reliability of
FRCs.
5. It would be dangerous to assume that the reliability of FRC
plates increases with the increase in the thickness of one or
more layers. The thickness ratio of layers has to be chosen
rationally in order to increase the reliability of the plate.
6. The orientation of fibers has a significant effect on the
reliability of FRC plates.
7. The probability of failure of a fiber-reinforced
composite laminate plate can be significantly reduced
if the number and thickness of layers and orientation
of fibers under prescribed load combinations are
optimized.
8. The reliability experts and FRCs experts must work in
synergy to develop evaluation, acceptance, and design
criteria for FRCs.
Acknowledgements
The present study is a part of the project dealing with
acceptance test specifications and guidelines for fiber-
reinforced polymeric bridge decks, funded by the Federal
Highway Administration to Georgia Institute of Technology
(Prof. Abdul Zureick, Principal Investigator). Part of this
project was subcontracted to the University of Colorado at
Boulder (Prof. Dan M. Frangopol, Principal Investigator).
The first author also acknowledges partial support for the
US National Science Foundation under NSF Grant No.
CMS-9912525 to the University of Colorado at Boulder.
Thanks are due to Prof. Abdul Zureick, Georgia Institute of
Technology, for some stimulating discussions. The second
author spent six months at the University of Colorado at
Boulder as a visiting student from the French Institute for
Advanced Mechanics, IFMA, to study reliability of
composite materials. Thanks are also due to Mr David
Guillot, visiting student from IFMA, who contributed to the
final version of this paper. The opinions and conclusions
presented in this paper are those of the authors and do not
necessarily reflect the views of the Federal Highway
Administration, the National Science Foundation, and/or
the French Institute for Advanced Mechanics.
References
[1] Ang AH-S, Tang WH, Probability concepts in engineering planning
and design, vol. II. New York: Wiley; 1984.
[2] Calcote LR. The Analysis of laminated composite structures. New
York: Van Nostrand Reinhold; 1969.
[3] Curtin WA. Dimensionality and size effects on the strength of fiber-
reinforced composites. Compos Sci Technol 2000;60:543–51.
[4] Guerez RM, Morais JJL, Marques AT, Cardon AH. Prediction of
long-term behaviour of composite materials. Comput Struct 2000;76:
183–94.
[5] Hyer MW. Stress analysis of fiber-reinforced composite materials.
New York: McGraw-Hill; 1998.
[6] Jeong HK, Shenoi RA. Probabilistic strength analysis of rectangular
FRP plates using Monte Carlo simulation. Comput Struct 2000;76:
219–35.
[7] Kong JS, Akgul F, Frangopol DM. MONTE: user’s manual. Monte
Carlo simulation program. Report no. 00-1. Structural engineering
and structural mechanics research series no. CU/SR-00/1. Department
of Civil, Environmental and Architectural Engineering, University of
Colorado, Boulder; November 2000.
[8] Lienkamp M, Exner HE. Prediction of the strength distribution for
unidirectionalfibre-reinforcedcomposites.ActaMetallurgica1996;4433–46.
[9] Recek S, Frangopol DM. Reliability of composite laminates. In:
Spanos PD, editor. Proceedings of the Fourth International Con-
ference on Computational Stochastic Mechanics, Corfu, Greece; June;
2002, in press.
[10] Sotiropoulos SN, GangaRao HVS, Mongi ANK. Theoretical and
experimental evaluation of FRP components and systems. J Struct
Engng, ASCE 1994;120(2):464–85.
[11] Swanson SR, Messick MJ, Tian Z. Failure of carbon/epoxy
lamina under combined stress. J Compos Mater 1987;21:
619–30.
[12] Tagawa T, Miyata T. Size effect on tensile strength of carbon fibers.
Mater Sci Engng 1997;A238:336–42.
[13] Tsai SW, Wu EM. A general theory of strength for anisotropic
materials. J Compos Mater 1971;5:58–80.
[14] Vinson JR, Sierakowski RL. The behavior of structures composed of
composite materials. Dordrecht: Kluwer; 1987.
D.M. Frangopol, S. Recek / Probabilistic Engineering Mechanics 18 (2003) 119–137 137