Introduction
We have talked about Hooke's Law some already, and used it for
tensor notation exercises and examples.
Hooke's Law is linear and isotropic. (Isotropic means
that it has equal stiffness in every direction.) It is in fact
the 1st order linearization of any hyperelastic material Law, including
nonlinear ones, as long as the Law is also isotropic. So it can be applied
to rubber as long as the strains are small. And it is the standard for metals
in the elastic range.
Normal Components
The first step in getting to the full model is to start with simple
uniaxial tension/compression. In this case, the relationship is
\[
\sigma = E \, \epsilon
\]
That's simple enough. It is linear because the stress and strain terms
are all first-order. Keep in mind that \(E\) has units of stress
just like \(\sigma\) because strain is unitless.
The next step is to generalize this for the case of multiple dimensions.
For starters, decide that the tension/compression direction is \(x\).
So the stress and strain in the above equation will be in the
\(x\) direction. Also write the above equation a little differently as
\[
\epsilon_{xx} = {1 \over E} \sigma_{xx}
\]
So far, so good. Now add some complexity. Add an additional normal stress
in the \(y\) direction. Any tensile stress in the \(y\) direction will
cause the strain in the \(x\) direction to decrease. So modify the
above equation as follows.
\[
\epsilon_{xx} = {1 \over E} \sigma_{xx} - B \, \sigma_{yy}
\]
In this case, \(B\) is a material property just like \(E\) and requires
a lab test to determine. Nevertheless, using \(B\) in this form
is not very practical. It is much more useful to express \(B\) as a
fraction of \((1 / E)\). Something like
\[
\epsilon_{xx} = {1 \over E} \sigma_{xx} - f {1 \over E} \sigma_{yy}
\]
where \(f\) is the "fraction". It is a number between 0 and 1 because
material behavior dictates it to be so. It is less than 1 because strains
in the \(x\) direction, \(\epsilon_{xx}\), are less sensitive to
stresses in the \(y\) direction, \(\sigma_{yy}\), than they are to
stresses in the \(x\) direction, \(\sigma_{xx}\).
Except that instead of using \(f\) as the symbol, use \(\nu\) instead.
This is Poisson's ratio. It is the ratio of the sensitivity of
strain to two stresses, one in line with the strain, and the other perpendicular
to it.
We will see that Poisson's ratio is 1/2 for incompressible materials such as
rubber. It is pretty consistently 1/3 for face-centered-cubic (FCC) materials
like aluminum, nickel, and copper. And it is about 0.3 for steel.
So the above equation becomes
\[
\epsilon_{xx} = {1 \over E} \big[ \sigma_{xx} - \nu \, \sigma_{yy} \big]
\]
And now add in a \(\sigma_{zz}\) to the mix. If the material is isotropic,
then the response of \(\epsilon_{xx}\) to \(\sigma_{zz}\) will be exactly
the same as \(\sigma_{yy}\). So the equation can be written as
\[
\epsilon_{xx} = {1 \over E} \big[ \sigma_{xx} - \nu \left( \sigma_{yy} + \sigma_{zz} \big) \right]
\]
This is the complete Hooke's Law, at least for \(\epsilon_{xx}\). It is also the
defining equation for Poisson's ratio (not \(-\epsilon_{yy} / \epsilon_{xx}\) by the way).
POISSON RATIOS
|
Material | Poisson's Ratio | Comments |
Foams | ~0 | Negligible effect |
Steels | ~0.3 | Varies by a few % among steels |
Aluminum | 0.33 | Face centered cubic (FCC) metals |
Copper | 0.33 |
Nickel | 0.33 |
Rubber | 0.50 | Incompressible |
Hooke's Law Tension Example
How can you apply a tensile stress in the \(x\) direction, but still get a negative strain?
Easy. Just apply sufficiently large tensile stresses in the \(y\) and \(z\)
directions. Take Hooke's Law and declare it to be \(\le 0\).
\[
\epsilon_{xx} = {1 \over E} \big[ \sigma_{xx} - \nu \left( \sigma_{yy} + \sigma_{zz} \big) \right] \le 0
\]
This leads to
\[
\sigma_{xx} \le \nu \left( \sigma_{yy} + \sigma_{zz} \right)
\qquad \qquad (\text{gives } \epsilon_{xx} \le 0)
\]
So the result does not depend on \(E\), but does depend on \(\nu\).
If you pull hard enough in the \(y\) and \(z\) directions, you can
produce negative strain in the \(x\) direction, even if
\(\sigma_{xx} \ge 0\).
The complete set of equations are
\[
\epsilon_{xx} = {1 \over E} \big[ \sigma_{xx} - \nu \, ( \sigma_{yy} + \sigma_{zz} ) \big]
\]
\[
\epsilon_{yy} = {1 \over E} \big[ \sigma_{yy} - \nu \, ( \sigma_{xx} + \sigma_{zz} ) \big]
\]
\[
\epsilon_{zz} = {1 \over E} \big[ \sigma_{zz} - \nu \, ( \sigma_{xx} + \sigma_{yy} ) \big]
\]
3-D Hooke's Law Example
For \(\sigma_{xx} = 2, \sigma_{yy} = 3, \sigma_{zz} = 4,\) and \(E = 10\), calculate
the normal strains for the cases, \(\nu = 0\), \(\nu = 0.33\), and \(\nu = 0.5\).
For \(\nu = 0.0\)...
\[
\epsilon_{xx} = 2 / 10 = 0.2
\]
\[
\epsilon_{yy} = 3 / 10 = 0.3
\]
\[
\epsilon_{zz} = 4 / 10 = 0.4
\]
For \(\nu = 0.33\)...
\[
\epsilon_{xx} = {1 \over 10} \big[ 2 - 0.33 \, ( 3 + 4 ) \big] = -0.031
\]
\[
\epsilon_{yy} = {1 \over 10} \big[ 3 - 0.33 \, ( 2 + 4 ) \big] = \;\;0.102
\]
\[
\epsilon_{zz} = {1 \over 10} \big[ 4 - 0.33 \, ( 2 + 3 ) \big] = \;\;0.235
\]
For \(\nu = 0.5\)...
\[
\epsilon_{xx} = {1 \over 10} \big[ 2 - 0.5 \, ( 3 + 4 ) \big] = -0.15
\]
\[
\epsilon_{yy} = {1 \over 10} \big[ 3 - 0.5 \, ( 2 + 4 ) \big] = \;\;0.00
\]
\[
\epsilon_{zz} = {1 \over 10} \big[ 4 - 0.5 \, ( 2 + 3 ) \big] = \;\;0.15
\]
Life is relatively boring with \(\nu = 0\). The strains are directly
proportional to the stresses. The remaining cases are much
more interesting. There are two things to note. First, the resulting
strain tensor is deviatoric when \(\nu = 0.5\). This will always be the
case when \(\nu = 0.5\). Second, the \(\epsilon_{xx}\) term is negative
even though \(\sigma_{xx}\) is positive. This is the often misunderstood
Poisson effect.
Uniaxial Tension Example
If \(\sigma_{xx} = 2\), \(E = 10\), and \(\nu = 0.5\), then what is the resulting
strain tensor.
The resulting strains are \(\epsilon_{xx} = 0.2\), and
\(\epsilon_{yy} = \epsilon_{zz} = -0.1\). So the strain tensor is
\[
\boldsymbol{\epsilon} =
\left[ \matrix{
0.2 & \;\;0.0 & \;\;0.0 \\
0.0 & -0.1 & \;\;0.0 \\
0.0 & \;\;0.0 & -0.1 }
\right]
\]
and the stress tensor is
\[
\boldsymbol{\sigma} =
\left[ \matrix{
2 & 0 & 0 \\
0 & 0 & 0 \\
0 & 0 & 0 }
\right]
\]
So you can get strains in directions that have no stress. This
is another consequence of the Poisson effect.
Another important point to be made regarding Poisson's ratio is how
it is equal to the the ratios
of \(\epsilon_{yy}\) and \(\epsilon_{zz}\) (the strains perpendicular
to the loading direction) to \(\epsilon_{xx}\), the strain in the
loading direction. This occurs for the case of uniaxial tension,
and ONLY for uniaxial tension, not for all loading conditions. It is
not a universal law or definition of Poisson's ratio.
Shear Components
We've worked out Hooke's Law for the normal components. We will now use
them to develop the relationship between the shear stresses and strains.
Start with a shear stress, \(\tau_{xy}\), and shear strain, \(\gamma_{xy}\),
and rotate them 45° to get the principal values.
For the shear stress
\[
\left[ \matrix {
0 & \tau_{xy} \\
\tau_{xy} & 0
} \right]
\qquad
\matrix {
45^\circ \\
\text{transform} \\
\longrightarrow \;
}
\qquad
\left[ \matrix {
\tau_{xy} & 0 \\
0 & -\tau_{xy}
} \right]
\]
and the shear strain
\[
\left[ \matrix {
0 & \gamma_{xy} / 2 \\
\gamma_{xy} / 2 & 0
} \right]
\qquad
\matrix {
45^\circ \\
\text{transform} \\
\longrightarrow \;
}
\qquad
\left[ \matrix {
\gamma_{xy} / 2 & 0 \\
0 & -\gamma_{xy} / 2
} \right]
\]
So the principal values are
\[
\sigma_1 = \tau_{xy} \qquad \qquad
\sigma_2 = -\tau_{xy} \qquad \qquad
\epsilon_1 = \gamma_{xy} / 2 \qquad \qquad
\epsilon_2 = -\gamma_{xy} / 2
\]
Plugging the positive principal strain into Hooke's Law gives
\[
\epsilon_1 = {1 \over E} \big[ \sigma_1 - \nu \left( \sigma_2 + \sigma_3 \right) \big]
\]
\[
{\gamma_{xy} \over 2} = {1 \over E} \big[ \tau_{xy} - \nu \left( -\tau_{xy} + 0 \right) \big]
\]
Rearrange to get
\[
\tau_{xy} = {E \over 2 (1 + \nu) } \gamma_{xy}
\]
And this leads to the expression for the shear modulus.
\[
G = {\tau_{xy} \over \gamma_{xy}} = {E \over 2 (1 + \nu) }
\]
Shear Modulus
For rubber with \(\nu = 0.5\), the shear modulus, \(G\), will always be
\(1/3\) of the tensile modulus, \(E\).
\[
{G \over E} = {1 \over 3} \qquad \qquad \text{rubber}
\]
For metals, especially the FCC ones, the Poisson ratio is \(\nu = 0.33\).
This leads to the shear modulus being \(3/8\), or 37.5% of the tensile modulus.
\[
{G \over E} = {3 \over 8} \qquad \qquad \text{metals}
\]
Bulk Modulus
Return to the three equations for normal strain in terms of normal stress.
\[
\epsilon_{xx} = {1 \over E} \big[ \sigma_{xx} - \nu \, ( \sigma_{yy} + \sigma_{zz} ) \big]
\]
\[
\epsilon_{yy} = {1 \over E} \big[ \sigma_{yy} - \nu \, ( \sigma_{xx} + \sigma_{zz} ) \big]
\]
\[
\epsilon_{zz} = {1 \over E} \big[ \sigma_{zz} - \nu \, ( \sigma_{xx} + \sigma_{yy} ) \big]
\]
Add the three equations together.
\[
\epsilon_{xx} + \epsilon_{yy} + \epsilon_{zz}
= { (1 - 2 \nu) \over E} ( \sigma_{xx} + \sigma_{yy} + \sigma_{zz} )
\]
But \((\epsilon_{xx} + \epsilon_{yy} + \epsilon_{zz})\) is the volumetric strain,
\(\epsilon_\text{Vol} = \Delta V / V\). We will discuss this at length in the
next chapter on strain and deformations.
And \((\sigma_{xx} + \sigma_{yy} + \sigma_{zz})\) is three times the
hydrostatic stress, \(3 \, \sigma_\text{Hyd}\). Note that hydrostatic
stress is simply the average of the diagonal components and is the
pressure your ears feel when you go deep under water.
So the equation becomes
\[
\epsilon_\text{Vol}
= { 3 (1 - 2 \nu) \over E} \sigma_\text{Hyd}
\]
And the ratio of the \(\sigma_\text{Hyd}\) to \(\epsilon_\text{Vol}\)
is the bulk modulus, \(K\).
\[
K =
{ \sigma_\text{Hyd} \over \epsilon_\text{Vol} }
= { E \over 3 (1 - 2 \nu) }
\]
And a little more rearrangement gives
\[
{E \over K}
= 3 (1 - 2 \nu)
\]
This is the important relationship between tensile modulus
and bulk modulus. Although the bulk modulus for rubber
is not large, it is nevertheless much larger than the
tensile modulus. So the ratio of the two is very small.
This dictates that the Poisson Ratio for rubber must be 0.5.
This is so that the RHS term, \(3 ( 1 - 2 \nu )\),
equals zero.
Bulk Modulus
For steel, its elastic modulus is 200,000 MPa and Poisson's Ratio
is 0.30. Its bulk modulus is
\[
K
\; = \; { E \over 3 (1 - 2 \nu) }
\; = \; { 200,000 \over 3 (1 - 2*0.30 ) }
\; = \; 167,000 \text{ MPa}
\]
For aluminum, its elastic modulus is 70,000 MPa and Poisson's Ratio
is 0.33. Its bulk modulus turns out to be the same value as the elastic
modulus.
\[
K
\; = \; { E \over 3 (1 - 2 \nu) }
\; = \; { 70,000 \over 3 (1 - 2*0.33 ) }
\; = \; 70,000 \text{ MPa}
\]
For the case of rubber, its bulk modulus is on the order of
1,000 MPa. This is clearly much lower than steel or
aluminum, so rubber is actually much more compressible than
the metals. Nevertheless, it is considered incompressible
because its bulk modulus is still several orders of magnitude
greater than its tensile and shear moduli.
Matrix & Tensor Notation
Hooke's Law can be written in matrix notation as
\[
\boldsymbol{\epsilon} = {1 \over E} \left[ (1 + \nu) \boldsymbol{\sigma} - \nu \; {\bf I} \; \text{tr}(\boldsymbol{\sigma}) \right]
\]
and in tensor notation as
\[
\epsilon_{ij} = {1 \over E} \left[ (1 + \nu) \sigma_{ij} - \nu \; \delta_{ij} \; \sigma_{kk} \right]
\]
Writing all the matrices out gives
\[
\left[ \matrix { \epsilon_{11} & \epsilon_{12} & \epsilon_{13} \\
\epsilon_{21} & \epsilon_{22} & \epsilon_{23} \\
\epsilon_{31} & \epsilon_{32} & \epsilon_{33}
} \right]
=
{1 \over E} \left\{ (1 + \nu)
\left[ \matrix { \sigma_{11} & \sigma_{12} & \sigma_{13} \\
\sigma_{21} & \sigma_{22} & \sigma_{23} \\
\sigma_{31} & \sigma_{32} & \sigma_{33}
} \right]
- \nu \, ( \sigma_{11} + \sigma_{22} + \sigma_{33} )
\left[ \matrix { 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1} \right]
\right\}
\]
The individual component equations all together are
\[
\epsilon_{11} = {1 \over E} \left[ (1 + \nu) \sigma_{11} - \nu \; (\sigma_{11} + \sigma_{22} + \sigma_{33}) \right]
\qquad \qquad
\epsilon_{12} = {1 \over E} \left[ (1 + \nu) \sigma_{12} \right]
\]
\[
\epsilon_{22} = {1 \over E} \left[ (1 + \nu) \sigma_{22} - \nu \; (\sigma_{11} + \sigma_{22} + \sigma_{33}) \right]
\qquad \qquad
\epsilon_{13} = {1 \over E} \left[ (1 + \nu) \sigma_{13} \right]
\]
\[
\epsilon_{33} = {1 \over E} \left[ (1 + \nu) \sigma_{33} - \nu \; (\sigma_{11} + \sigma_{22} + \sigma_{33}) \right]
\qquad \qquad
\epsilon_{23} = {1 \over E} \left[ (1 + \nu) \sigma_{23} \right]
\]
but then clean up into the familiar forms
\[
\epsilon_{11} = {1 \over E} \left[ \sigma_{11} - \nu \; (\sigma_{22} + \sigma_{33}) \right]
\qquad \qquad
\epsilon_{12} = {(1 + \nu) \over E} \sigma_{12}
\]
\[
\epsilon_{22} = {1 \over E} \left[ \sigma_{22} - \nu \; (\sigma_{11} + \sigma_{33}) \right]
\qquad \qquad
\epsilon_{13} = {(1 + \nu) \over E} \sigma_{13}
\]
\[
\epsilon_{33} = {1 \over E} \left[ \sigma_{33} - \nu \; (\sigma_{11} + \sigma_{22}) \right]
\qquad \qquad
\epsilon_{23} = {(1 + \nu) \over E} \sigma_{23}
\]
For anyone diving directly into this page here, note that \(\epsilon_{12}\),
\(\epsilon_{13}\), and \(\epsilon_{23}\) are one-half of the engineering shear quantities,
i.e., \(\epsilon_{12} = \gamma_{12} / 2\).
Inverting Hooke's Law
This section will simply give the results of inverting Hooke's Law to obtain the stress
as a function of strain.
Detailed steps of the inversion can be found at
http://www.continuummechanics.org/hookeslaw.html#inverting.
The inversion process involves manipulation of the equation in tensor notation format.
A complete review of tensor notation can be found on the following pages:
http://www.continuummechanics.org/tensornotationbasic.html
and
http://www.continuummechanics.org/tensornotationadvanced.html.
Recall Hooke's Law in matrix and tensor notation...
\[
\boldsymbol{\epsilon} = {1 \over E} \left[ (1 + \nu) \boldsymbol{\sigma} - \nu \; {\bf I} \; \text{tr}(\boldsymbol{\sigma}) \right]
\qquad \text{and} \qquad
\epsilon_{ij} = {1 \over E} \left[ (1 + \nu) \sigma_{ij} - \nu \; \delta_{ij} \; \sigma_{kk} \right]
\]
The inverted forms are:
\[
\boldsymbol{\sigma} = {E \over (1 + \nu)} \left[ \boldsymbol{\epsilon} + { \nu \over (1 - 2 \nu)} \; {\bf I} \; \text{tr}(\boldsymbol{\epsilon}) \right]
\qquad \text{and} \qquad
\sigma_{ij} = {E \over (1 + \nu)} \left[ \epsilon_{ij} + { \nu \over (1 - 2 \nu)} \; \delta_{ij} \; \epsilon_{kk} \right]
\]
Note that in this form, it is impossible to calculate the stress tensor
given a strain tensor if the material is incompressible because \(\nu = 0.5\).
Stiffness Tensor
The stiffness tensor is a 4th rank quantity (3x3x3x3) that relates stress
and strain.
\[
\boldsymbol{\sigma} = {\bf C} : \boldsymbol{\epsilon}
\qquad \qquad
\sigma_{ij} = C_{ijkl} \epsilon_{kl}
\]
It can be determined from Hooke's Law by taking the derivative of the stress tensor
with respect to the strain tensor.
\[
C_{ijkl} \; = \; {\partial \sigma_{ij} \over \partial \epsilon_{kl} }
\; = \; {\partial \over \partial \epsilon_{kl} }
\left\{ {E \over (1 + \nu)} \left[ \epsilon_{ij} + { \nu \over (1 - 2 \nu)} \delta_{ij} \, \epsilon_{mm} \right] \right\} \\
\]
The result, after quite a bit of work, is
\[
C_{ijkl} = {E \over (1 + \nu)} \left[ {1 \over 2} ( \delta_{ik} \, \delta_{jl} + \delta_{jk} \, \delta_{il} ) + { \nu \over (1 - 2 \nu)} \delta_{ij} \, \delta_{kl} \right]
\]
Note how the stiffness tensor is symmetric with respect to \(i\) and \(j\) and with respect to \(k\) and \(l\).
Details of the derivation can be found on
this page.
Stiffness Tensor Example
Start with
\[
C_{ijkl} = {E \over (1 + \nu)} \left[ {1 \over 2} ( \delta_{ik} \, \delta_{jl} + \delta_{jk} \, \delta_{il} ) + { \nu \over (1 - 2 \nu)} \delta_{ij} \, \delta_{kl} \right]
\]
And determine \(C_{1111}\), the coefficient of \(\epsilon_{11}\) that contributes to
\(\sigma_{11}\).
\[
\begin{eqnarray}
C_{1111} & = & {E \over (1 + \nu)} \left[ {1 \over 2} ( \delta_{11} \, \delta_{11} + \delta_{11} \, \delta_{11} ) + { \nu \over (1 - 2 \nu)} \delta_{11} \, \delta_{11} \right] \\
\\
\\
& = & {E \over (1 + \nu)} \left[ 1 + { \nu \over (1 - 2 \nu)} \right] \\
\\
\\
& = & {E \, ( 1 - \nu) \over (1 + \nu) (1 - 2 \nu) }
\end{eqnarray}
\]
Keep in mind that \(C_{1111}\) is \({\partial \sigma_{11} \over \partial \epsilon_{11}}\), and this
implies that \(\epsilon_{22}\) and \(\epsilon_{33}\) are held constant while \(\epsilon_{11}\)
changes.
Once again, the consequence of this scenario is that the volume does change. That is why
\(C_{1111}\) has \(1-2\nu\) in the denominator and goes to \(\infty\) as
\(\nu\) approaches 0.5, because the material approaches incompressibility
and requires an infinite amount of stress to change its volume.
Also, note that \(C_{1111}\) is
not the material's stiffness under uniaxial tension
because, in that case, the lateral strains do indeed change due to Poisson's effect, so
they are not constant as the partial derivative implies.
In general, \({\bf C}\) can relate every strain component to every
stress component. The practical challenge is that one cannot write
a 4th rank 3x3x3x3 tensor on 2-D paper. However, this can be
overcome by using so-called
Voigt notation. This amounts to
writing
\[
\left\{ \matrix{
\sigma_{11} \\
\sigma_{22} \\
\sigma_{33} \\
\tau_{12} \\
\tau_{23} \\
\tau_{13} }
\right\}
=
\left[ \matrix{
C_{11} & C_{12} & C_{13} & C_{14} & C_{15} & C_{16} \\
& C_{22} & C_{23} & C_{24} & C_{25} & C_{26} \\
& & C_{33} & C_{34} & C_{35} & C_{36} \\
& & & C_{44} & C_{45} & C_{46} \\
& sym & & & C_{55} & C_{56} \\
& & & & & C_{66} }
\right]
\left\{ \matrix{
\epsilon_{11} \\
\epsilon_{22} \\
\epsilon_{33} \\
\gamma_{12} \\
\gamma_{23} \\
\gamma_{13} }
\right\}
\]
Note that this is not conventional matrix forms that tensor
notation can be applied to. Second, the full shear strain values, \(\gamma_{ij}\), are
used here, not the half values, \(\epsilon_{ij}\). Finally, the order that
shear stresses and strains are listed is not universal. Here they are
listed as \(\gamma_{12}, \gamma_{23}, \gamma_{13}\), but other sources
may also list them as \(\gamma_{12}, \gamma_{13}, \gamma_{23}\).
Plane Stress
The state of
plane stress is a loading condition found in thin sheets
and plates. In such cases, the stresses (which come from loads) are high in
the plane of the part, and negligible normal to it. The normal direction
is selected as \(z\), leaving the \(x\) and \(y\) directions to be the loaded
ones.
This situation is represented in Hooke's Law by simply setting \(\sigma_{zz} = 0\).
Doing so gives
\[
\begin{eqnarray}
\epsilon_{xx} & = & {1 \over E} \left[ \sigma_{xx} - \nu \; \sigma_{yy} \right] \\
\\
\epsilon_{yy} & = & {1 \over E} \left[ \sigma_{yy} - \nu \; \sigma_{xx} \right] \\
\\
\epsilon_{zz} & = & {-\nu \over E} \left[ \sigma_{xx} + \sigma_{yy} \right] \\
\\
\gamma_{xy} & = & \tau_{xy} \; / \; G
\end{eqnarray}
\]
with all other terms equal zero.
Note that \(\epsilon_{zz}\) is not zero even tho \(\sigma_{zz}\) is. This is correct, if not intuitive.
Keep in mind that there is no new physics here. It's simply a special case of Hooke's Law when \(\sigma_{zz} = 0\).
Furthermore, the shear term is no different than in the general case. The interesting relationships
are found in the equations for normal stress and strain.
Inverting the equations gives stress in terms of strain.
\[
\begin{eqnarray}
\sigma_{xx} & = & { E \over 1 - \nu^2 } \left[ \epsilon_{xx} + \nu \, \epsilon_{yy} \right] \\
\\
\sigma_{yy} & = & { E \over 1 - \nu^2 } \left[ \epsilon_{yy} + \nu \, \epsilon_{xx} \right] \\
\\
\tau_{xy} & = & G \; \gamma_{xy}
\end{eqnarray}
\]
There is no need to include \(\epsilon_{zz}\) in the equations, even though it is not zero.
Plane Strain
The
plane strain condition occurs in very thick plates. In this case,
\(\epsilon_{zz}\) is negligible and assumed to be zero. And \(\sigma_{zz}\)
will not be zero. Taking the equation for \(\epsilon_{zz}\) and setting it
equal to zero gives
\[
\epsilon_{zz} = {1 \over E} \left[ \sigma_{zz} - \nu \, ( \sigma_{xx} + \sigma_{yy} ) \right] = 0
\]
Solving for \(\sigma_{zz}\) gives
\[
\sigma_{zz} = \nu \, ( \sigma_{xx} + \sigma_{yy} )
\]