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Preliminary

Reference

  • Mechanics Lecture Notes Part III: Foundations of Continuum Mechanics, pa.kelly@auckland.ac.nz.

Website

Tensors

A tensor of order zero is simply another name for a scalar α.

A first-order tensor is simply another name for a vector uu.

We use uppercase bold-face Latin letters to denote second order tensor.

A second-order tensor TT may be defined as an operator that acts on a vector uu generating another vector vv, such that

TT(uu)=vv

which is a linear operator.

  • dyad(tensor product)

the tensor product of two vectors uu and vv

uuvv

is defined by

(uuvv)ww=uu(vvww)

Properties

(i)

(uuvv)(wwxx)=(vvww)(uuxx)

cause

(uuvv)(wwxx)yy=(uuvv)(xxyy)ww=(xxyy)(uuvv)ww=(xxyy)(vvww)uu=(vvww)(xxyy)uu=(vvww)(uuxx)yy

(ii)

uu(vvww)=(uuvv)ww

cause

(yyuu)(vvww)=(uuvv)(yyww)=yy[(uuvv)ww]

Some example

  • Projection Tensor (eeee)

So

(eeee)uu=(eeuu)ee

is the vector projection of uu on ee, denoted by PP.

A dyadic is a linear combination of dyads (with scalar coefficients).

In the following discussion, we can treat TT as a matrix.

Cartesian Tensors

A second order tensor and the the vector it operates on can be described in terms of Cartesian components.

Example

  • Identity tensor/(or unit tensor).
II=i=1deeieei

cause it follows

IIuu=i=1d(eeieei)uu=i=1d(eeiuu)eei=i=1duieei=uu

Or identity tensor can be written as

II=i,j=1dδij(eeieej)

Second order tensor as a Dyadic

Every second order tensor can always be written as a dyadic involving the Cartesian base vectors eei, that is, if we denote

EEi=TT(eei)

then

TT=i=1d(EEieei)
bb=TT(aa)=TT(i=1daieei)=i=1daiTT(eei)

Denote TT(eei) to be EEi, then

bb=i=1daiEEi=i=1d(aaeei)EEi=i=1d(EEieei)aa

So

TT=i=1d(EEieei)

If we write EEi with base vectors like

EEi=j=1dEijeej,i=1,,d

Then

(EEieei)=(j=1dEijeej)eei=j=1dEij(eejeei),i=1,,d

Thus

TT=i=1dj=1dEij(eejeei)

Introduce 9 scalars Tij=Eji, then

TT=i=1dj=1dTji(eejeei)=j=1di=1dTji(eejeei)switch summation turn=i=1dj=1dTij(eeieej)switch i and j

We can see that 9 dyads {eeieej}i,j=13 forms a basis for the space of second order tensors.

Recall that

Tij=Eji=EEjeei=T(eej)(eei)=(eei)T(eej)

So we can get the component of a tensor by the above way.

Cauchy Stress Tensor

The traction vector, the limiting value of the ratio of force over area, that is,

ttnn=limΔs0ΔFΔS

where nn denotes normal vector to the surface.

The stress σσ, a second order tensor which maps nn onto tt

tt=σσnn

If we consider a coordinate system with base vectors eei, then σσ=i,j=1d(σijeeieej)

σσ=(σij)

So

tieiei=j=13σijnjeei

For example,

σσeej=i=13σijeei

which denotes the summation of the jth column of matrix σσ.

So the components σ11,σ21,σ31 of the stress tensor are the three components of the traction vector which acts on the plane with normal ee1.

Hamilton Operator

First we want to introduce the operator

=iix+jjy+kkz

then

f=iifx+jjfy+kkfz=gradf

we also have inner product

aa=(iix+jjy+kkz)(Pii+Qjj+Rkk)=Px+Qy+Rz=divaa

and cross product

×aa=(iix+jjy+kkz)×(Pii+Qjj+Rkk)=|iijjkkxyzPQR|=(RyQz)ii+(RxPz)jj+(QxPy)kk=rotaa

Then Gauss Formula can be expressed by

ΩaadSS=ΩaadV

Stokes Formula can be expressed by

Σaadss=Σ(×aa)dSS