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Elasticity tensor
Elasticity tensor
from Wikipedia

The elasticity tensor is a fourth-rank tensor describing the stress-strain relation in a linear elastic material.[1][2] 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.[note 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 34 = 81 independent components , but the elasticity tensor has at most 21 independent components.[3] 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.[3]

Definition

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The most general linear relation between two second-rank tensors is

where are the components of a fourth-rank tensor .[1][note 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.[4][5][note 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

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Isotropic

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For an isotropic material, simplifies to

where and are scalar functions of the material coordinates , and is the metric tensor in the reference frame of the material.[6][7] 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

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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.[8] 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.[9]

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

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There are similar expressions for the components of in other crystal symmetry classes.[10] The number of independent elastic constants for several of these is given in table 1.[9]

Table 1: Number of independent elastic constants for various crystal symmetry classes.[9]
Crystal family Point group Independent components
Triclinic 21
Monoclinic 13
Orthorhombic 9
Tetragonal C4, S4, C4h 7
Tetragonal C4v, D2d, D4, D4h 6
Rhombohedral C3, S6 7
Rhombohedral C3v, D6, D3d 6
Hexagonal 5
Cubic 3

Properties

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Symmetries

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The elasticity tensor has several symmetries that follow directly from its defining equation .[11][2] 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.[9]

Transformations

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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

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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).[12] The linear invariants are

and the quadratic invariants are

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.[12]

Decompositions

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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.[13] Component-wise,

Here and later, symmetrization and antisymmetrization 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.[11]

The elasticity tensor has rank 4, and its decompositions are more complex and varied than those of a rank-2 tensor.[14] A few examples are described below.

M and N tensors

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This decomposition is obtained by symmeterization and antisymmeterization of the middle two indices:

where

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.[2]

Irreducible representations

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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

where is the set of all permutations of the four indices.[2] Owing to the symmetries of , this sum reduces to

The difference

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 .[2][15]

However, this decomposition is not irreducible with respect to the group of rotations SO(3). Instead, decomposes into three irreducible parts, and into two:

See Itin (2020)[15] for explicit expressions in terms of the components of .

This representation decomposes the space of elasticity tensors into a direct sum of subspaces:

with dimensions

These subspaces are each isomorphic to a harmonic tensor space .[15][16] 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

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Footnotes

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References

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Bibliography

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The elasticity tensor, also known as the elastic stiffness tensor, is a fourth-order tensor that characterizes the linear elastic response of a by relating the stress tensor to the strain tensor in the σij=Cijklϵkl\sigma_{ij} = C_{ijkl} \epsilon_{kl}, where σij\sigma_{ij} and ϵkl\epsilon_{kl} are the components of the symmetric second-order stress and strain tensors, respectively, and CijklC_{ijkl} denotes the tensor components. In three dimensions, this tensor has 81 potential components in its most general anisotropic form, but symmetries arising from the of the stress and strain tensors (minor symmetries: Cijkl=Cjikl=CijlkC_{ijkl} = C_{jikl} = C_{ijlk}) and the major from the existence of a potential (Cijkl=CklijC_{ijkl} = C_{klij}) reduce the number of independent components to 21, with the requirement of a positive-definite ensuring thermodynamic stability. For materials exhibiting higher degrees of symmetry, the elasticity tensor simplifies significantly; isotropic materials, for instance, are described by just two independent constants, commonly the λ\lambda and μ\mu, or equivalently EE and ν\nu, leading to the form Cijkl=λδijδkl+μ(δikδjl+δilδjk)C_{ijkl} = \lambda \delta_{ij} \delta_{kl} + \mu (\delta_{ik} \delta_{jl} + \delta_{il} \delta_{jk}). In orthotropic materials, such as or composites, the tensor requires nine independent constants, while cubic crystals need only three. The inverse relation, involving the compliance tensor SijklS_{ijkl}, allows strain to be expressed as a function of stress: ϵij=Sijklσkl\epsilon_{ij} = S_{ijkl} \sigma_{kl}, with SS being the inverse of CC. To facilitate computations, the elasticity tensor is often represented in Voigt notation as a 6×6 matrix, mapping the six independent components of stress and strain vectors, which preserves the major symmetries and enables efficient in finite element methods and other simulations of problems. The tensor's components are material properties determined experimentally through techniques like ultrasonic wave propagation, resonant ultrasound spectroscopy, or static loading tests, and they must satisfy thermodynamic stability conditions, such as , to ensure the material's elastic behavior is physically realistic. In applications ranging from to , the elasticity tensor underpins the prediction of deformation, wave propagation, and failure in anisotropic solids like crystals, composites, and biological tissues.

Fundamentals

Definition

In linear elasticity, the fundamental constitutive relation links the stress tensor to the strain tensor through a linear mapping. The stress tensor σij\sigma_{ij}, a second-rank tensor, represents the internal forces per unit area acting across an infinitesimal surface element within a deformable continuum. The strain tensor εkl\varepsilon_{kl}, a symmetric second-rank tensor, measures the relative deformation or displacement gradients in the material. Under the assumption of small deformations and linear material response, known as in its generalized tensorial form, the components of the stress tensor are related to those of the strain tensor by σij=Cijklεkl,\sigma_{ij} = C_{ijkl} \varepsilon_{kl}, where summation over repeated indices kk and ll is implied, and CijklC_{ijkl} denotes the components of the elasticity tensor. This fourth-rank tensor CijklC_{ijkl} fully characterizes the material's elastic behavior by specifying how applied strains produce corresponding stresses. The elasticity tensor is a fourth-rank tensor in three-dimensional , possessing 3×3×3×3=813 \times 3 \times 3 \times 3 = 81 components in its most general form. Physically, CijklC_{ijkl} quantifies the directional of the , determining the resistance to deformation along specific axes and the coupling between different deformation modes. This tensorial framework generalizes the scalar for uniaxial loading to arbitrary three-dimensional states, originating from Augustin-Louis Cauchy's foundational work in 1828 on the molecular theory of elasticity.

Notation Conventions

The elasticity tensor, denoted as CijklC_{ijkl}, is a fourth-order tensor that relates the second-order stress tensor σij\sigma_{ij} to the second-order infinitesimal strain tensor ϵkl\epsilon_{kl} through the σij=Cijklϵkl\sigma_{ij} = C_{ijkl} \epsilon_{kl}, where the Einstein summation convention is implied over repeated indices kk and ll. In this full tensor notation, the components CijklC_{ijkl} are defined with respect to a , and the tensor possesses 81 components in general, though symmetries reduce the number of independent components in practical cases, such as to 21 for materials without additional assumptions. To facilitate computational and engineering applications, the elasticity tensor is often represented in contracted forms. The maps the fourth-order tensor to a 6×6 matrix CαβC_{\alpha\beta}, where the indices α,β=1,,6\alpha, \beta = 1, \dots, 6 correspond to specific pairings of the original tensor indices: $11 \to 1, $22 \to 2, $33 \to 3, $23 \to 4 (or $32 \to 4), $13 \to 5 (or $31 \to 5), and $12 \to 6 (or $21 \to 6).[](https://dspace.mit.edu/bitstream/handle/1721.1/105251/12665_2016_Article_5429.pdf?sequence=1&isAllowed=y) In this scheme, the stress components are vectorized as \boldsymbol{\sigma} = [\sigma_{11}, \sigma_{22}, \sigma_{33}, \sigma_{23}, \sigma_{13}, \sigma_{12}]^T,whilethestrainvectorincorporatesafactorof2forshearcomponentstopreservetheworkconjugacyintheinnerproduct:, while the strain vector incorporates a factor of 2 for shear components to preserve the work conjugacy in the inner product: \boldsymbol{\epsilon} = [\epsilon_{11}, \epsilon_{22}, \epsilon_{33}, 2\epsilon_{23}, 2\epsilon_{13}, 2\epsilon_{12}]^T.[](http://pajarito.materials.cmu.edu/lectures/ElasticAniso16Jan20.pdf)Thisresultsinthematrixrelation.[](http://pajarito.materials.cmu.edu/lectures/Elastic_Aniso-16Jan20.pdf) This results in the matrix relation \boldsymbol{\sigma} = \mathbf{C} \boldsymbol{\epsilon},where, where \mathbf{C}$ is the elasticity matrix used extensively in finite element analysis and engineering simulations. An alternative to is the Kelvin notation, which also employs a 6×6 but vectorizes both stress and strain without the factor of 2 on shear strains, instead using 2\sqrt{2}
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