Elasticity tensor explained
The elasticity tensor is a fourth-rank tensor describing the stress-strain relation ina linear elastic material. Other names are elastic modulus tensor and stiffness tensor. Common symbols include
and
.
The defining equation can be written as
where
and
are the components of the
Cauchy stress tensor and infinitesimal strain tensor, and
are the components of the elasticity tensor. Summation over repeated indices is implied.
[1] This relationship can be interpreted as a generalization of
Hooke's law to a 3D
continuum.
A general fourth-rank tensor
in 3D has 3
4 = 81 independent components
, but the elasticity tensor has at most 21 independent components. This fact follows from the symmetry of the stress and strain tensors, together with the requirement that the stress derives from an
elastic energy potential. For
isotropic materials, the elasticity tensor has just two independent components, which can be chosen to be the
bulk modulus and
shear modulus.
Definition
The most general linear relation between two second-rank tensors
is
where
are the components of a fourth-rank tensor
.
[1] The elasticity tensor is defined as
for the case where
and
are the stress and strain tensors, respectively.
The compliance tensor
is defined from the inverse stress-strain relation:
The two are related by
where
is the
Kronecker delta.
[2] Unless otherwise noted, this article assumes
is defined from the stress-strain relation of a linear elastic material, in the limit of small strain.
Special cases
Isotropic
For an isotropic material,
simplifies to
Cijkl=λ\left(X\right)gijgkl+\mu\left(X\right)\left(gikgjl+gilgkj\right)
where
and
are scalar functions of the material coordinates
, and
is the
metric tensor in the reference frame of the material. In an orthonormal Cartesian coordinate basis, there is no distinction between upper and lower indices, and the metric tensor can be replaced with the Kronecker delta:
Cijkl=λ\left(X\right)\deltaij\deltakl+\mu\left(X\right)\left(\deltaik\deltajl+\deltail\deltakj\right) [Cartesiancoordinates]
Substituting the first equation into the stress-strain relation and summing over repeated indices gives
Tij=λ\left(X\right) ⋅ \left(TrE\right)gij+2\mu\left(X\right)Eij
where
is the trace of
.In this form,
and
can be identified with the first and second
Lamé parameters.An equivalent expression is
Tij=K\left(X\right) ⋅ \left(TrE\right)gij+2\mu\left(X\right)\Sigmaij
where
is the bulk modulus, and
\Sigmaij\equivEij-(1/3)\left(TrE\right)gij
are the components of the shear tensor
.
Cubic crystals
The elasticity tensor of a cubic crystal has components
\begin{align}
Cijkl&=λgijgkl+\mu\left(gikgjl+gilgkj\right)\ &+\alpha\left(aiajakal+bibjbkbl+cicjckcl\right)
\end{align}
where
,
, and
are unit vectors corresponding to the three mutually perpendicular axes of the crystal
unit cell. The coefficients
,
, and
are scalars; because they are coordinate-independent, they are intrinsic material constants. Thus, a crystal with cubic symmetry is described by three independent elastic constants.
In an orthonormal Cartesian coordinate basis, there is no distinction between upper and lower indices, and
is the Kronecker delta, so the expression simplifies to
\begin{align}
Cijkl&=λ\deltaij\deltakl+\mu\left(\deltaik\deltajl+\deltail\deltakj\right)\ &+\alpha\left(aiajakal+bibjbkbl+cicjckcl\right)
\end{align}
Other crystal classes
There are similar expressions for the components of
in other crystal symmetry classes. The number of independent elastic constants for several of these is given in table 1.
Properties
Symmetries
The elasticity tensor has several symmetries that follow directly from its defining equation
. The symmetry of the stress and strain tensors implies that
Cijkl=Cjikl and Cijkl=Cijlk,
Usually, one also assumes that the stress derives from an elastic energy potential
:
which implies
Cijkl=
| \partial2U |
\partialEij\partialEkl |
Hence,
must be symmetric under interchange of the first and second pairs of indices:
The symmetries listed above reduce the number of independent components from 81 to 21. If a material has additional symmetries, then this number is further reduced.
Transformations
Under rotation, the components
transform as
where
are the covariant components in the rotated basis, and
are the elements of the corresponding
rotation matrix. A similar transformation rule holds for other linear transformations.
Invariants
The components of
generally acquire different values under a change of basis. Nevertheless, for certain types of transformations,there are specific combinations of components, called invariants, that remain unchanged. Invariants are defined with respect to a given set of transformations, formally known as a
group operation. For example, an invariant with respect to the group of proper orthogonal transformations, called
SO(3), is a quantity that remains constant under arbitrary 3D rotations.
possesses two linear invariants and seven quadratic invariants with respect to SO(3). The linear invariants are
\begin{align}
L1&=
\\
L2&=
\end{align}
and the quadratic invariants are
\left\{
L1L2,CijklCijkl,CiiklCjjkl,CiiklCjkjl,CkiilCkjjl\right\}
These quantities are linearly independent, that is, none can be expressed as a linear combination of the others. They are also complete, in the sense that there are no additional independent linear or quadratic invariants.
Decompositions
See also: Tensor decomposition. A common strategy in tensor analysis is to decompose a tensor into simpler components that can be analyzed separately. For example, thedisplacement gradient tensor
can be decomposed as
where
is a rank-0 tensor (a scalar), equal to the trace of
;
is symmetric and trace-free; and
is antisymmetric. Component-wise,
\begin{align}
\Sigmaij\equivW(ij)&=
\left(Wij+Wji\right)-
\left(TrW\right)gij\\
Rij\equivW[ij]&=
\left(Wij-Wji\right)
\end{align}
Here and later, symmeterization and antisymmeterization are denoted by
and
, respectively. This decomposition is irreducible, in the sense of being invariant under rotations, and is an important tool in the conceptual development of continuum mechanics.
The elasticity tensor has rank 4, and its decompositions are more complex and varied than those of a rank-2 tensor. A few examples are described below.
M and N tensors
This decomposition is obtained by symmeterization and antisymmeterization of the middle two indices:
where
\begin{align}
Mijkl\equivCi(jk)l=
\left(Cijkl+Cikjl\right)\\
Nijkl\equivCi[jk]l=
\left(Cijkl-Cikjl\right)
\end{align}
A disadvantage of this decomposition is that
and
do not obey all original symmetries of
, as they are not symmetric under interchange of the first two indices. In addition, it is not irreducible, so it is not invariant under linear transformations such as rotations.
Irreducible representations
See also: Young tableau and Irreducible representation. An irreducible representation can be built by considering the notion of a totally symmetric tensor, which is invariant under the interchange of any two indices. A totally symmetric tensor
can be constructed from
by summing over all
permutations of the indices
\begin{align}
Sijkl&=
Cijkl\ &=
\left(Cijkl+Cjikl+Cikjl+\ldots\right)
\end{align}
where
is the set of all permutations of the four indices. Owing to the symmetries of
, this sum reduces to
Sijkl=
\left(Cijkl+Ciklj+Ciljk\right)
The difference
Aijkl\equivCijkl-Sijkl=
\left(2Cijkl-Cilkj-Ciklj\right)
is an asymmetric tensor (
not antisymmetric). The decomposition
can be shown to be unique and irreducible with respect to
. In other words, any additional symmetrization operations on
or
will either leave it unchanged or evaluate to zero. It is also irreducible with respect to arbitrary linear transformations, that is, the
general linear group
.
However, this decomposition is not irreducible with respect to the group of rotations SO(3). Instead,
decomposes into three irreducible parts, and
into two:
\begin{align}
Cijkl&=Sijkl+Aijkl\\
&=\left((1)Sijkl+(2)Sijkl+(3)Sijkl\right)+\left((1)Aijkl+(2)Aijkl\right)
\end{align}
See Itin (2020) for explicit expressions in terms of the components of
.
This representation decomposes the space of elasticity tensors into a direct sum of subspaces:
l{C}=\left((1)l{C} ⊕ (2)l{C} ⊕ (3)l{C}\right) ⊕ \left((4)l{C} ⊕ (5)l{C}\right)
with dimensions
These subspaces are each isomorphic to a harmonic tensor space
. Here,
is the space of 3D, totally symmetric, traceless tensors of rank
. In particular,
and
correspond to
,
and
correspond to
, and
corresponds to
.
See also
Bibliography
- The Feynman Lectures on Physics - The tensor of elasticity
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- Hehl . Friedrich W. . Itin . Yakov . The Cauchy Relations in Linear Elasticity Theory . Journal of Elasticity and the Physical Science of Solids . 2002 . 66 . 2 . 185–192 . 0374-3535 . 10.1023/A:1021225230036 . cond-mat/0206175. 18618340 .
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Notes and References
- Here, upper and lower indices denote contravariant and covariant components, respectively, though the distinction can be ignored for Cartesian coordinates. As a result, some references represent components using only lower indices.
- Combining the forward and inverse stress-strain relations gives .Due to the minor symmetries and, this equation does not uniquely determine . In fact, is a solution for any . However, only preserves the minor symmetries of K, so this is the correct solution from a physical standpoint.