jagomart
digital resources
picture1_Calculus Pdf 169201 | Vectors Tensors 14 Tensor Calculus


 164x       Filetype PDF       File size 0.15 MB       Source: homepages.engineering.auckland.ac.nz


File: Calculus Pdf 169201 | Vectors Tensors 14 Tensor Calculus
section 1 14 1 14 tensor calculus i tensor fields in this section the concepts from the calculus of vectors are generalised to the calculus of higher order tensors 1 ...

icon picture PDF Filetype PDF | Posted on 25 Jan 2023 | 2 years ago
Partial capture of text on file.
                                                                                                                                                                                                                                                                  Section 1.14 
                                                             1.14 Tensor Calculus I: Tensor Fields 
                                                              
                                                             In this section, the concepts from the calculus of vectors are generalised to the calculus of 
                                                             higher-order tensors. 
                                                              
                                                              
                                                             1.14.1 Tensor-valued Functions 
                                                              
                                                             Tensor-valued functions of a scalar 
                                                              
                                                             The most basic type of calculus is that of tensor-valued functions of a scalar, for example 
                                                             the time-dependent stress at a point, S  S(t).  If a tensor T depends on a scalar t, then 
                                                             the derivative is defined in the usual way, 
                                                              
                                                                                                                                       dT lim                           T(t  t) T(t) , 
                                                                                                                                        dt                    t0                       t
                                                              
                                                             which turns out to be 
                                                              
                                                                                                                                                          dT             dT
                                                                                                                                                                               ij  e e     (1.14.1) 
                                                                                                                                                           dt              dt          i           j
                                                              
                                                             The derivative is also a tensor and the usual rules of differentiation apply, 
                                                              
                                                                                                                                              d                             dT dB
                                                                                                                                                   
                                                                                                                                             dt TB  dt  dt
                                                                                                                                             d                                   dT d
                                                                                                                                                   
                                                                                                                                            dt (t)T  dt  dt T
                                                                                                                                                     d  da dT  
                                                                                                                                                    dt Ta T dt  dt a
                                                                                                                                                   d dB dT
                                                                                                                                                   dt TB T dt  dt B
                                                                                                                                                     d                      dTT
                                                                                                                                                                T 
                                                                                                                                                          T
                                                                                                                                                    dt                      dt 
                                                                                                                                                                                      
                                                              
                                                             For example, consider the time derivative of QQT , where Q is orthogonal.  By the 
                                                             product rule, using QQT  I, 
                                                              
                                                                                                          d                            dQ                           dQT                dQ                           dQT
                                                                                                                           T                         T                                                T
                                                                                                               
                                                                                                         dt QQ  dt Q Q dt  dt Q Q dt  0 
                                                                                                                                                                                                                               
                                                              
                                                             Thus, using Eqn. 1.10.3e 
                                                              
                                                                                                                                                              T                    T                        T T
                                                                                                                                                                                                                 
                                                                                                                                                     QQ QQ QQ                                                                                                     (1.14.2) 
                                                              
                                                             Solid Mechanics Part III                                                                                                                                                                        Kelly 
                                                                                                                                                                        115
                                                                                                                                                                                                                                                                Section 1.14 
                                                            which shows that                                      T  is a skew-symmetric tensor. 
                                                                                                         QQ
                                                             
                                                             
                                                            1.14.2 Vector Fields 
                                                             
                                                            The gradient of a scalar field and the divergence and curl of vector fields have been seen 
                                                            in §1.6.  Other important quantities are the gradient of vectors and higher order tensors 
                                                            and the divergence of higher order tensors.  First, the gradient of a vector field is 
                                                            introduced.  
                                                             
                                                            The Gradient of a Vector Field 
                                                             
                                                            The gradient of a vector field is defined to be the second-order tensor 
                                                             
                                                                                                      grada  a e  ai e e    Gradient of a Vector Field      (1.14.3) 
                                                                                                                           x                  j       x           i            j
                                                                                                                                 j                            j
                                                             
                                                            In matrix notation, 
                                                             
                                                                                                                                                                                                   
                                                                                                                                                                 a               a               a
                                                                                                                                                                   1               1              1 
                                                                                                                                                                                            
                                                                                                                                                                 x               x               x
                                                                                                                                                            1                2             3 
                                                                                                                                       grada   a2                              a2             a2                                                       (1.14.4) 
                                                                                                                                                                                                   
                                                                                                                                                                 x               x               x
                                                                                                                                                            1                2             3 
                                                                                                                                                            a3                  a3             a3 
                                                                                                                                                                                                   
                                                                                                                                                                 x               x               x
                                                                                                                                                                   1               2              3 
                                                             
                                                            One then has 
                                                             
                                                                                                                                                                   
                                                                                                                                                                      ai                      
                                                                                                                                       gradadx                            ei ej dxkek
                                                                                                                                                                     xj
                                                                                                                                                                   
                                                                                                                                                              ai dx e                                              (1.14.5) 
                                                                                                                                                                  x               j    i
                                                                                                                                                                         j
                                                                                                                                                             da
                                                                                                                                                             a(x x)a( x)
                                                                                                                                                                                d                  d
                                                             
                                                            which is analogous to Eqn 1.6.10 for the gradient of a scalar field.  As with the gradient 
                                                            of a scalar field, if one writes dx as  dxe , where e is a unit vector, then 
                                                             
                                                                                                                                                    gradae  da                                                                                                    (1.14.6) 
                                                                                                                                                                             dx 
                                                                                                                                                                                       in e direction
                                                             
                                                            Thus the gradient of a vector field a is a second-order tensor which transforms a unit 
                                                            vector into a vector describing the gradient of a in that direction. 
                                                             
                                                            Solid Mechanics Part III                                                                                                                                                                       Kelly 
                                                                                                                                                                       116
                                                                                                                                                                                                                                                                    Section 1.14 
                                                             As an example, consider a space curve parameterised by s, with unit tangent vector 
                                                                                          (see §1.6.2); one has 
                                                              τ  ddx /              s
                                                              
                                                                                                                                     dx                                              
                                                                                                             d              
                                                                                                                 aa a a
                                                                                                                                           j                                                                                                  . 
                                                                                                                      τeeτgradaτ
                                                                                                                                                              
                                                                                                                                                                                     
                                                                                                                                                                          jj
                                                                                                                                                                                     
                                                                                                              ds              x ds                      x                                  x
                                                                                                                           
                                                                                                                                 jjj
                                                                                                                                                                                     
                                                              
                                                             Although for a scalar field grad  is equivalent to  , note that the gradient defined in 
                                                             1.14.3 is not the same as a.  In fact, 
                                                              
                                                                                                                                                                              T
                                                                                                                                                                                                        (1.14.7) 
                                                                                                                                                             a grada
                                                                                                                                                                               
                                                             since 
                                                                                                                                                                               
                                                                                                                                        ae  a e aj e e                                                                                                            (1.14.8) 
                                                                                                                                                                 i  x                 j     j        x           i            j
                                                                                                                                                                          i                                 i
                                                              
                                                             These two different definitions of the gradient of a vector, ai /xjei ej and 
                                                              aj /xiei ej, are both commonly used.  In what follows, they will be distinguished by 
                                                             labeling the former as grada (which will be called the gradient of a) and the latter as 
                                                              a. 
                                                              
                                                             Note the following: 
                                                              in much of the literature, a is written in the contracted form a, but the more 
                                                                  explicit version is used here. 
                                                              some authors define the operation of  on a vector or tensor  not as in 1.14.8, but 
                                                                                                                                                                             aagrad ax/ ee
                                                                  through      /x e  so that                                                                                                                                                             . 
                                                                                                                      
                                                                                                                  
                                                                                                                                                                                                                              ij
                                                                                                                                        ii                                                                                                        ij
                                                              
                                                             Example (The Displacement Gradient) 
                                                              
                                                             Consider a particle  p0 of a deforming body at position X (a vector) and a neighbouring 
                                                             point q0 at position dX relative to  p0, Fig. 1.14.1.  As the material deforms, these two 
                                                             particles undergo displacements of, respectively, u(X) and u(X  dX).  The final 
                                                             positions of the particles are  pf  and qf .  Then 
                                                              
                                                                                                                                          dx  dXu(XdX)u(X)
                                                                                                                                                  dXdu(X)                                                        
                                                                                                                                                  dXgradudX
                                                                                                                                                                               
                                                             Solid Mechanics Part III                                                                                                                                                                          Kelly 
                                                                                                                                                                          117
                                                                                                                                                                                                                                                                 Section 1.14 
                                                                                                          initial                                 q
                                                                                                                                                     0
                                                                                                                                dX                                               u(XdX)
                                                                                                                                  p                                                                                              q
                                                                                                                                     0                                                                                               f
                                                                                                                                                                   u(X)                                                      dx
                                                                                                        X                                                                                                                 pf                        final 
                                                                                                                                                                                                                                                                                  
                                                                                                            Figure 1.14.1: displacement of material particles 
                                                              
                                                             Thus the gradient of the displacement field u encompasses the mapping of (infinitesimal) 
                                                             line elements in the undeformed body into line elements in the deformed body.  For 
                                                             example, suppose that u  kX 2, u  u  0.  Then 
                                                                                                                        1                2        2            3
                                                              
                                                                                                                                           u              0         2kX2               0
                                                                                                                    gradu                       i    0                  0             0  2kX e e  
                                                                                                                                         X                                                                   2 1              2
                                                                                                                                                  j        0              0             0
                                                                                                                                                                                           
                                                              
                                                             A line element dX  dXiei  at X  Xiei  maps onto 
                                                                                                                                                                                                                                    
                                                                                                               dx  dX 2kX2e1 e2 dX1e1 dX2e2 dX3e3  
                                                                                                                       dX2kX2dX2e1
                                                              
                                                             The deformation of a box is as shown in Fig. 1.14.2.  For example, the vector dX  de2 
                                                             (defining the left-hand side of the box) maps onto dx  2k de1 e2 . 
                                                              
                                                                                                                                        X2
                                                                                                                                                                                        final
                                                                                                                                                                          X1                                                                                        
                                                                                                                                                                             
                                                                                                                             Figure 1.14.2: deformation of a box 
                                                              
                                                             Note that the map dX  dx does not specify where in space the line element moves to.  
                                                             It translates too according to x  X u . 
                                                                                                                                                                                                                                                                         ■  
                                                              
                                                              
                                                             The Divergence and Curl of a Vector Field 
                                                              
                                                             The divergence and curl of vectors have been defined in §1.6.6, §1.6.8.  Now that the 
                                                             gradient of a vector has been introduced, one can re-define the divergence of a vector 
                                                             independent of any coordinate system: it is the scalar field given by the trace of the 
                                                             gradient {▲Problem 4},  
                                                             Solid Mechanics Part III                                                                                                                                                                       Kelly 
                                                                                                                                                                        118
The words contained in this file might help you see if this file matches what you are looking for:

...Section tensor calculus i fields in this the concepts from of vectors are generalised to higher order tensors valued functions a scalar most basic type is that for example time dependent stress at point s t if depends on then derivative defined usual way dt lim which turns out be ij e j also and rules differentiation apply d db tb da ta b dtt consider qqt where q orthogonal by product rule using dq dqt qq thus eqn solid mechanics part iii kelly shows skew symmetric vector gradient field divergence curl have been seen other important quantities first introduced...

no reviews yet
Please Login to review.