Orthotropic material

Wood is an example of an orthotropic material. Material properties in three perpendicular directions (axial, radial, and circumferential) are different.

In material science and solid mechanics, orthotropic materials have material properties at a particular point which differ along three orthogonal axes, where each axis has twofold rotational symmetry. These directional differences in strength can be quantified with Hankinson's equation.

They are a subset of anisotropic materials, because their properties change when measured from different directions.

A familiar example of an orthotropic material is wood. In wood, one can define three mutually perpendicular directions at each point in which the properties are different. It is most stiff (and strong) along the grain (axial direction), because most cellulose fibrils are aligned that way. It is usually least stiff in the radial direction (between the growth rings), and is intermediate in the circumferential direction. This anisotropy was provided by evolution, as it best enables the tree to remain upright.

Because the preferred coordinate system is cylindrical-polar, this type of orthotropy is also called polar orthotropy.

Another example of an orthotropic material is sheet metal formed by squeezing thick sections of metal between heavy rollers. This flattens and stretches its grain structure. As a result, the material becomes anisotropic โ€” its properties differ between the direction it was rolled in and each of the two transverse directions. This method is used to advantage in structural steel beams, and in aluminium aircraft skins.

If orthotropic properties vary between points inside an object, it possesses both orthotropy and inhomogeneity. This suggests that orthotropy is the property of a point within an object rather than for the object as a whole (unless the object is homogeneous). The associated planes of symmetry are also defined for a small region around a point and do not necessarily have to be identical to the planes of symmetry of the whole object.

Orthotropic materials are a subset of anisotropic materials; their properties depend on the direction in which they are measured. Orthotropic materials have three planes/axes of symmetry. An isotropic material, in contrast, has the same properties in every direction. It can be proved that a material having two planes of symmetry must have a third one. Isotropic materials have an infinite number of planes of symmetry.

Transversely isotropic materials are special orthotropic materials that have one axis of symmetry (any other pair of axes that are perpendicular to the main one and orthogonal among themselves are also axes of symmetry). One common example of transversely isotropic material with one axis of symmetry is a polymer reinforced by parallel glass or graphite fibers. The strength and stiffness of such a composite material will usually be greater in a direction parallel to the fibers than in the transverse direction, and the thickness direction usually has properties similar to the transverse direction. Another example would be a biological membrane, in which the properties in the plane of the membrane will be different from those in the perpendicular direction. Orthotropic material properties have been shown to provide a more accurate representation of bone's elastic symmetry and can also give information about the three-dimensional directionality of bone's tissue-level material properties.

It is important to keep in mind that a material which is anisotropic on one length scale may be isotropic on another (usually larger) length scale. For instance, most metals are polycrystalline with very small grains. Each of the individual grains may be anisotropic, but if the material as a whole comprises many randomly oriented grains, then its measured mechanical properties will be an average of the properties over all possible orientations of the individual grains.

Orthotropy in physics

Anisotropic material relations

Material behavior is represented in physical theories by constitutive relations. A large class of physical behaviors can be represented by linear material models that take the form of a second-order tensor. The material tensor provides a relation between two vectors and can be written as

๐Ÿ=๐‘ฒโ‹…๐

where ๐,๐Ÿ are two vectors representing physical quantities and ๐‘ฒ is the second-order material tensor. If we express the above equation in terms of components with respect to an orthonormal coordinate system, we can write

fi=Kijย djย .

Summation over repeated indices has been assumed in the above relation. In matrix form we have

๐Ÿ_=๐‘ฒ__ย ๐_โŸน[f1f2f3]=[K11K12K13K21K22K23K31K32K33][d1d2d3]

Examples of physical problems that fit the above template are listed in the table below.

Problem๐Ÿ๐๐‘ฒ
Electrical conductionElectrical current
๐‰
Electric field
๐„
Electrical conductivity
๐ˆ
DielectricsElectrical displacement
๐ƒ
Electric field
๐„
Electric permittivity
๐œบ
MagnetismMagnetic induction
๐
Magnetic field
๐‡
Magnetic permeability
๐
Thermal conductionHeat flux
๐ช
Temperature gradient
โˆ’๐œตT
Thermal conductivity
๐œฟ
DiffusionParticle flux
๐‰
Concentration gradient
โˆ’๐œตc
Diffusivity
๐‘ซ
Flow in porous mediaWeighted fluid velocity
ฮทฮผ๐ฏ
Pressure gradient
๐œตP
Fluid permeability
๐œฟ

Condition for material symmetry

The material matrix ๐‘ฒ__ has a symmetry with respect to a given orthogonal transformation (๐‘จ) if it does not change when subjected to that transformation. For invariance of the material properties under such a transformation we require

๐‘จโ‹…๐Ÿ=๐‘ฒโ‹…(๐‘จโ‹…๐’…)โŸน๐Ÿ=(๐‘จโˆ’1โ‹…๐‘ฒโ‹…๐‘จ)โ‹…๐’…

Hence the condition for material symmetry is (using the definition of an orthogonal transformation)

๐‘ฒ=๐‘จโˆ’1โ‹…๐‘ฒโ‹…๐‘จ=๐‘จTโ‹…๐‘ฒโ‹…๐‘จ

Orthogonal transformations can be represented in Cartesian coordinates by a 3ร—3 matrix ๐‘จ__ given by

๐‘จ__=[A11A12A13A21A22A23A31A32A33]ย .

Therefore, the symmetry condition can be written in matrix form as

๐‘ฒ__=๐‘จT__ย ๐‘ฒ__ย ๐‘จ__

Orthotropic material properties

An orthotropic material has three orthogonal symmetry planes. If we choose an orthonormal coordinate system such that the axes coincide with the normals to the three symmetry planes, the transformation matrices are

๐‘จ1__=[โˆ’100010001]ย ;ย ย ๐‘จ2__=[1000โˆ’10001]ย ;ย ย ๐‘จ3__=[10001000โˆ’1]

It can be shown that if the matrix ๐‘ฒ__ for a material is invariant under reflection about two orthogonal planes then it is also invariant under reflection about the third orthogonal plane.

Consider the reflection ๐‘จ3__ about the 1โˆ’2 plane. Then we have

๐‘ฒ__=๐‘จ3T__ย ๐‘ฒ__ย ๐‘จ3__=[K11K12โˆ’K13K21K22โˆ’K23โˆ’K31โˆ’K32K33]

The above relation implies that K13=K23=K31=K32=0. Next consider a reflection ๐‘จ2__ about the 1โˆ’3 plane. We then have

๐‘ฒ__=๐‘จ2T__ย ๐‘ฒ__ย ๐‘จ2__=[K11โˆ’K120โˆ’K21K22000K33]

That implies that K12=K21=0. Therefore, the material properties of an orthotropic material are described by the matrix

๐‘ฒ__=[K11000K22000K33]

Orthotropy in linear elasticity

Anisotropic elasticity

In linear elasticity, the relation between stress and strain depend on the type of material under consideration. This relation is known as Hooke's law. For anisotropic materials Hooke's law can be written as

๐ˆ=๐–ผโ‹…๐œบ

where ๐ˆ is the stress tensor, ๐œบ is the strain tensor, and ๐–ผ is the elastic stiffness tensor. If the tensors in the above expression are described in terms of components with respect to an orthonormal coordinate system we can write

ฯƒij=cijkโ„“ย ฮตkโ„“

where summation has been assumed over repeated indices. Since the stress and strain tensors are symmetric, and since the stress-strain relation in linear elasticity can be derived from a strain energy density function, the following symmetries hold for linear elastic materials

cijkโ„“=cjikโ„“ย ,ย ย cijkโ„“=cijโ„“kย ,ย ย cijkโ„“=ckโ„“ijย .

Because of the above symmetries, the stress-strain relation for linear elastic materials can be expressed in matrix form as

[ฯƒ11ฯƒ22ฯƒ33ฯƒ23ฯƒ31ฯƒ12]=[c1111c1122c1133c1123c1131c1112c2211c2222c2233c2223c2231c2212c3311c3322c3333c3323c3331c3312c2311c2322c2333c2323c2331c2312c3111c3122c3133c3123c3131c3112c1211c1222c1233c1223c1231c1212][ฮต11ฮต22ฮต332ฮต232ฮต312ฮต12]

An alternative representation in Voigt notation is

[ฯƒ1ฯƒ2ฯƒ3ฯƒ4ฯƒ5ฯƒ6]=[C11C12C13C14C15C16C12C22C23C24C25C26C13C23C33C34C35C36C14C24C34C44C45C46C15C25C35C45C55C56C16C26C36C46C56C66][ฮต1ฮต2ฮต3ฮต4ฮต5ฮต6]

or

๐ˆ__=๐–ข__ย ๐œบ__

The stiffness matrix ๐–ข__ in the above relation satisfies point symmetry.

Condition for material symmetry

The stiffness matrix ๐–ข__ satisfies a given symmetry condition if it does not change when subjected to the corresponding orthogonal transformation. The orthogonal transformation may represent symmetry with respect to a point, an axis, or a plane. Orthogonal transformations in linear elasticity include rotations and reflections, but not shape changing transformations and can be represented, in orthonormal coordinates, by a 3ร—3 matrix ๐€__ given by

๐€__=[A11A12A13A21A22A23A31A32A33]ย .

In Voigt notation, the transformation matrix for the stress tensor can be expressed as a 6ร—6 matrix ๐– ฯƒ__ given by

๐– ฯƒ__=[A112A122A1322A12A132A11A132A11A12A212A222A2322A22A232A21A232A21A22A312A322A3322A32A332A31A332A31A32A21A31A22A32A23A33A22A33+A23A32A21A33+A23A31A21A32+A22A31A11A31A12A32A13A33A12A33+A13A32A11A33+A13A31A11A32+A12A31A11A21A12A22A13A23A12A23+A13A22A11A23+A13A21A11A22+A12A21]

The transformation for the strain tensor has a slightly different form because of the choice of notation. This transformation matrix is

๐– ฮต__=[A112A122A132A12A13A11A13A11A12A212A222A232A22A23A21A23A21A22A312A322A332A32A33A31A33A31A322A21A312A22A322A23A33A22A33+A23A32A21A33+A23A31A21A32+A22A312A11A312A12A322A13A33A12A33+A13A32A11A33+A13A31A11A32+A12A312A11A212A12A222A13A23A12A23+A13A22A11A23+A13A21A11A22+A12A21]

It can be shown that ๐– ฮต__T=๐– ฯƒ__โˆ’1.

The elastic properties of a continuum are invariant under an orthogonal transformation ๐€__ if and only if

๐–ข__=๐– ฮต__Tย ๐–ข__ย ๐– ฮต__

Stiffness and compliance matrices in orthotropic elasticity

An orthotropic elastic material has three orthogonal symmetry planes. If we choose an orthonormal coordinate system such that the axes coincide with the normals to the three symmetry planes, the transformation matrices are

๐€1__=[โˆ’100010001]ย ;ย ย ๐€2__=[1000โˆ’10001]ย ;ย ย ๐€3__=[10001000โˆ’1]

We can show that if the matrix ๐–ข__ for a linear elastic material is invariant under reflection about two orthogonal planes then it is also invariant under reflection about the third orthogonal plane.

If we consider the reflection ๐€3__ about the 1โˆ’2 plane, then we have

๐– ฮต__=[100000010000001000000โˆ’1000000โˆ’10000001]

Then the requirement ๐–ข__=๐– ฮต__Tย ๐–ข__ย ๐– ฮต__ implies that

[C11C12C13C14C15C16C12C22C23C24C25C26C13C23C33C34C35C36C14C24C34C44C45C46C15C25C35C45C55C56C16C26C36C46C56C66]=[C11C12C13โˆ’C14โˆ’C15C16C12C22C23โˆ’C24โˆ’C25C26C13C23C33โˆ’C34โˆ’C35C36โˆ’C14โˆ’C24โˆ’C34C44C45โˆ’C46โˆ’C15โˆ’C25โˆ’C35C45C55โˆ’C56C16C26C36โˆ’C46โˆ’C56C66]

The above requirement can be satisfied only if

C14=C15=C24=C25=C34=C35=C46=C56=0ย .

Let us next consider the reflection ๐€2__ about the 1โˆ’3 plane. In that case

๐– ฮต__=[100000010000001000000โˆ’10000001000000โˆ’1]

Using the invariance condition again, we get the additional requirement that

C16=C26=C36=C45=0ย .

No further information can be obtained because the reflection about third symmetry plane is not independent of reflections about the planes that we have already considered. Therefore, the stiffness matrix of an orthotropic linear elastic material can be written as

๐–ข__=[C11C12C13000C12C22C23000C13C23C33000000C44000000C55000000C66]

The inverse of this matrix is commonly written as

๐–ฒ__=[1E1โˆ’ฮฝ21E2โˆ’ฮฝ31E3000โˆ’ฮฝ12E11E2โˆ’ฮฝ32E3000โˆ’ฮฝ13E1โˆ’ฮฝ23E21E30000001G230000001G310000001G12]

where Ei is the Young's modulus along axis i, Gij is the shear modulus in direction j on the plane whose normal is in direction i, and ฮฝij is the Poisson's ratio that corresponds to a contraction in direction j when an extension is applied in direction i. Only nine (9) from these twelve (12) elastic constants are independent.

Bounds on the moduli of orthotropic elastic materials

The strain-stress relation for orthotropic linear elastic materials can be written in Voigt notation as

๐œบ__=๐–ฒ__ย ๐ˆ__

where the compliance matrix ๐–ฒ__ is given by

๐–ฒ__=[S11S12S13000S12S22S23000S13S23S33000000S44000000S55000000S66]

The compliance matrix is symmetric and must be positive definite for the strain energy density to be positive. This implies from Sylvester's criterion that all the principal minors of the matrix are positive, i.e.,

ฮ”k:=detโก(๐–ฒk__)>0

where ๐–ฒk__ is the kร—k principal submatrix of ๐–ฒ__.

Then,

ฮ”1>0โŸนS11>0ฮ”2>0โŸนS11S22โˆ’S122>0ฮ”3>0โŸน(S11S22โˆ’S122)S33โˆ’S11S232+2S12S23S13โˆ’S22S132>0ฮ”4>0โŸนS44ฮ”3>0โŸนS44>0ฮ”5>0โŸนS44S55ฮ”3>0โŸนS55>0ฮ”6>0โŸนS44S55S66ฮ”3>0โŸนS66>0

We can show that this set of conditions implies that

S11>0ย ,ย ย S22>0ย ,ย ย S33>0ย ,ย ย S44>0ย ,ย ย S55>0ย ,ย ย S66>0

or

E1>0,E2>0,E3>0,G12>0,G23>0,G13>0

However, no similar lower bounds can be placed on the values of the Poisson's ratios ฮฝij.

See also

References

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  2. โ†‘ Milton, G. W., 2002, The Theory of Composites, Cambridge University Press.
  3. โ†‘ Lekhnitskii, S. G., 1963, Theory of Elasticity of an Anisotropic Elastic Body, Holden-Day Inc.
  4. 1 2 3 4 Slawinski, M. A., 2010, Waves and Rays in Elastic Continua: 2nd Ed., World Scientific.
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  7. โ†‘ Ting, T. C. T. (1996), "Positive definiteness of anisotropic elastic constants", Mathematics & Mechanics of Solids, 1 (3): 301โ€“314, doi:10.1177/108128659600100302, S2CIDย 122747373.

Further reading