The elasticity tensor is a fourth-rank
tensor
In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects associated with a vector space. Tensors may map between different objects such as vectors, scalars, and even other ...
describing the
stress-strain relation in
a
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.
[Here, upper and lower indices denote contravariant and covariant components, respectively, though the distinction can be ignored for ]Cartesian coordinates
In geometry, a Cartesian coordinate system (, ) in a plane is a coordinate system that specifies each point uniquely by a pair of real numbers called ''coordinates'', which are the signed distances to the point from two fixed perpendicular o ...
. As a result, some references represent components using only lower indices. This relationship can be interpreted as a generalization of
Hooke's law
In physics, Hooke's law is an empirical law which states that the force () needed to extend or compress a spring by some distance () scales linearly with respect to that distance—that is, where is a constant factor characteristic of ...
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
Elastic energy is the mechanical potential energy stored in the configuration of a material or physical system as it is subjected to elastic deformation by work performed upon it. Elastic energy occurs when objects are impermanently compressed ...
potential. For
isotropic
In physics and geometry, isotropy () is uniformity in all orientations. Precise definitions depend on the subject area. Exceptions, or inequalities, are frequently indicated by the prefix ' or ', hence '' anisotropy''. ''Anisotropy'' is also ...
materials, the elasticity tensor has just two independent components, which can be chosen to be the
bulk modulus
The bulk modulus (K or B or k) of a substance is a measure of the resistance of a substance to bulk compression. It is defined as the ratio of the infinitesimal pressure increase to the resulting ''relative'' decrease of the volume.
Other mo ...
and
shear modulus
In materials science, shear modulus or modulus of rigidity, denoted by ''G'', or sometimes ''S'' or ''μ'', is a measure of the Elasticity (physics), elastic shear stiffness of a material and is defined as the ratio of shear stress to the shear s ...
.
Definition
The most general linear relation between two second-rank tensors
is
:
where
are the components of a fourth-rank tensor
.
[ 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
In mathematics, the Kronecker delta (named after Leopold Kronecker) is a function of two variables, usually just non-negative integers. The function is 1 if the variables are equal, and 0 otherwise:
\delta_ = \begin
0 &\text i \neq j, \\
1 &\ ...
.[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.]
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
:
where and are scalar functions of the material coordinates
, and is the metric tensor
In the mathematical field of differential geometry, a metric tensor (or simply metric) is an additional structure on a manifold (such as a surface) that allows defining distances and angles, just as the inner product on a Euclidean space allows ...
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:
:
Substituting the first equation into the stress-strain relation and summing over repeated indices gives
:
where is the trace of .
In this form, and can be identified with the first and second Lamé parameters.
An equivalent expression is
:
where is the bulk modulus, and
:
are the components of the shear tensor .
Cubic crystals
The elasticity tensor of a cubic crystal has components
:
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
:
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
:
Usually, one also assumes that the stress derives from an elastic energy potential :
:
which implies
:
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
In linear algebra, a rotation matrix is a transformation matrix that is used to perform a rotation (mathematics), rotation in Euclidean space. For example, using the convention below, the matrix
:R = \begin
\cos \theta & -\sin \theta \\
\sin \t ...
. 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
:
and the quadratic invariants are
:
These quantities are linearly independent, that is, none can be expressed as a linear combination
In mathematics, a linear combination or superposition is an Expression (mathematics), expression constructed from a Set (mathematics), set of terms by multiplying each term by a constant and adding the results (e.g. a linear combination of ''x'' a ...
of the others.
They are also complete, in the sense that there are no additional independent linear or quadratic invariants.
Decompositions
A common strategy in tensor analysis is to decompose a tensor into simpler components that can be analyzed separately. For example, the
displacement 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,
:
Here and later, symmeterization and antisymmeterization are denoted by and