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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 \mathbf and \mathbf. The defining equation can be written as : T^ = C^ E_ where T^ and E_ are the components of the Cauchy stress tensor and infinitesimal strain tensor, and C^ 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 \mathbf in 3D has 34 = 81 independent components F_, 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 \mathbf, \mathbf is : T^ = C^ E_ where C^ are the components of a fourth-rank tensor \mathbf. The elasticity tensor is defined as \mathbf for the case where \mathbf and \mathbf are the stress and strain tensors, respectively. The compliance tensor \mathbf is defined from the inverse stress-strain relation: : E^ = K^ T_ The two are related by : K_ C^ = \frac \left(\delta_^ \delta_^ + \delta_^ \delta_^ \right) where \delta_^ 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 \mathbf 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, \mathbf simplifies to : C^ = \lambda \!\left( X \right) g^ g^ + \mu\!\left( X \right) \left(g^ g^ + g^ g^ \right) where \lambda and \mu are scalar functions of the material coordinates X, and \mathbf 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: : C_ = \lambda \!\left( X \right) \delta_ \delta_ + \mu\!\left( X \right) \left(\delta_ \delta_ + \delta_ \delta_ \right) \quad \text Substituting the first equation into the stress-strain relation and summing over repeated indices gives : T^ = \lambda \!\left( X \right) \cdot \left(\mathrm \, \mathbf \right) g^ + 2 \mu\!\left( X \right) E^ where \mathrm\, \mathbf \equiv E^i_ is the trace of \mathbf. In this form, \mu and \lambda can be identified with the first and second Lamé parameters. An equivalent expression is : T^ = K \!\left( X \right) \cdot \left(\mathrm\, \mathbf \right) g^ + 2 \mu\!\left( X \right)\Sigma^ where K = \lambda + (2/3) \mu is the bulk modulus, and : \Sigma^ \equiv E^ - (1/3)\left(\mathrm\, \mathbf \right) g^ are the components of the shear tensor \mathbf.


Cubic crystals

The elasticity tensor of a cubic crystal has components : \begin C^ &= \lambda g^ g^ + \mu \left(g^ g^ + g^ g^ \right) \\ &+ \alpha \left(a^i a^j a^k a^l + b^i b^j b^k b^l + c^i c^j c^k c^l\right) \end where \mathbf, \mathbf, and \mathbf are unit vectors corresponding to the three mutually perpendicular axes of the crystal unit cell. The coefficients \lambda, \mu, and \alpha 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 g^ is the Kronecker delta, so the expression simplifies to : \begin C_ &= \lambda \delta_ \delta_ + \mu \left(\delta_ \delta_ + \delta_ \delta_ \right) \\ &+ \alpha \left(a_i a_j a_k a_l + b_i b_j b_k b_l + c_i c_j c_k c_l\right) \end


Other crystal classes

There are similar expressions for the components of \mathbf 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 T^ = C^ E_. The symmetry of the stress and strain tensors implies that : C_ = C_ \qquad \text \qquad C_ = C_, Usually, one also assumes that the stress derives from an elastic energy potential U: : T^ = \frac which implies : C_ = \frac Hence, \mathbf must be symmetric under interchange of the first and second pairs of indices: : C_ = C_ 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 C^ transform as : C'_ = R_ R_ R_ R_ C^ where C'_ are the covariant components in the rotated basis, and R_ 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 \mathbf 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. \mathbf possesses two linear invariants and seven quadratic invariants with respect to SO(3). The linear invariants are : \begin L_1 &= C^_ \\ L_2 &= C^_ \end and the quadratic invariants are : \left\ 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 \mathbf = \mathbf \mathbf can be decomposed as : \mathbf = \frac \Theta \mathbf + \mathbf + \mathbf where \Theta is a rank-0 tensor (a scalar), equal to the trace of \mathbf; \mathbf is symmetric and trace-free; and \mathbf is antisymmetric. Component-wise, : \begin \Sigma^ \equiv W^ &= \frac \left(W^ + W^ \right) - \frac \left(\mathrm\, \mathbf \right) g^ \\ R^ \equiv W^ &= \frac \left(W^ - W^ \right) \end Here and later, symmeterization and antisymmeterization are denoted by (ij) and j/math>, 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: : C^ = M^ + N^ where : \begin M^ \equiv C^ = \frac\left(C^ + C^ \right) \\ N^ \equiv C^ = \frac\left(C^ - C^ \right) \end A disadvantage of this decomposition is that M^ and N^ do not obey all original symmetries of C^, 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

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 \mathbf can be constructed from \mathbf by summing over all 4! = 24
permutations In mathematics, a permutation of a Set (mathematics), set can mean one of two different things: * an arrangement of its members in a sequence or linear order, or * the act or process of changing the linear order of an ordered set. An example ...
of the indices : \begin S^ &= \frac\sum_ C^ \\ &=\frac\left(C^ + C^+ C^ + \ldots \right) \end where \mathbb_4 is the set of all permutations of the four indices. Owing to the symmetries of C^, this sum reduces to : S^ = \frac\left(C^ + C^ + C^ \right) The difference : A^ \equiv C^ - S^ = \frac\left(2 C^ - C^ - C^ \right) is an asymmetric tensor (''not'' antisymmetric). The decomposition C^ = S^ + A^ can be shown to be unique and irreducible with respect to \mathbb_4. In other words, any additional symmetrization operations on \mathbf or \mathbf 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 In mathematics, the general linear group of degree n is the set of n\times n invertible matrices, together with the operation of ordinary matrix multiplication. This forms a group, because the product of two invertible matrices is again inve ...
G(3,\mathbb). However, this decomposition is not irreducible with respect to the group of rotations SO(3). Instead, \mathbf decomposes into three irreducible parts, and \mathbf into two: : \begin C^ &= S^ + A^ \\ &= \left(^\!S^ + \, ^\!S^ + \, ^\!S^ \right) + \, \left(^\!A^ + ^\!A^ \right) \end See Itin (2020) for explicit expressions in terms of the components of \mathbf. This representation decomposes the space of elasticity tensors into a direct sum of subspaces: : \mathcal = \left(^\!\mathcal \oplus \, ^\!\mathcal \oplus \, ^\!\mathcal \right) \oplus \, \left(^\!\mathcal \oplus \, ^\!\mathcal \right) with dimensions : 21 = (1 \oplus 5 \oplus 9) \oplus (1 \oplus 5) These subspaces are each isomorphic to a harmonic tensor space \mathbb_n(\mathbb^3). Here, \mathbb_n(\mathbb^3) is the space of 3D, totally symmetric, traceless tensors of rank n. In particular, ^\!\mathcal and ^\!\mathcal correspond to \mathbb_0, ^\!\mathcal and ^\!\mathcal correspond to \mathbb_2, and ^\!\mathcal corresponds to \mathbb_4.


See also

*
Continuum mechanics Continuum mechanics is a branch of mechanics that deals with the deformation of and transmission of forces through materials modeled as a ''continuous medium'' (also called a ''continuum'') rather than as discrete particles. Continuum mec ...
*
Solid mechanics Solid mechanics (also known as mechanics of solids) is the branch of continuum mechanics that studies the behavior of solid materials, especially their motion and deformation (mechanics), deformation under the action of forces, temperature chang ...
*
Constitutive equation In physics and engineering, a constitutive equation or constitutive relation is a relation between two or more physical quantities (especially kinetic quantities as related to kinematic quantities) that is specific to a material or substance o ...
*
Strength of materials Strength may refer to: Personal trait *Physical strength, as in people or animals *Character strengths like those listed in the Values in Action Inventory *The exercise of willpower Physics * Mechanical strength, the ability to withstand ...
* * Representation theory of finite groups * Voigt notation


Footnotes


References


Bibliography


The Feynman Lectures on Physics - The tensor of elasticity
* * * * * * * * * * * * * {{refend Tensor physical quantities Continuum mechanics