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Introduction and Fundamentals for Mathematics and Continuum Mechanics   11


                 Where I 1  (first invariant, the trace), I 2  (second invariant), and I 3  (third invariant) are
              the invariants of the tensor (matrix).

                                             I =  A =  trA                      (1-33a)
                                             1   ii
                                 I = (              1     2      2
                                     1
                                                             tr A ⎤
                                       A A −  A A ji) =  ⎡( trA − ( )  ⎦        (1-33b)
                                                         )
                                                     ⎣
                                  2     ii  jj  ij
                                     2              2
                                        I = ξ  A A A = det  A                   (1-33c)
                                         3  ijk  i 1  j 2  3  k
                 It can be proved that I 1 , I 2 , and I 3  are invariant when the tensor is transformed into
              its representation into another rotated coordinate system.
                 Typically, it has three real roots.
                                     ⎡ ⎣ A − λδ ij ⎦ ⎤ n i  q ()  = 0, (q   1,2,3)  (1-34)
                                            q ()
                                        ij
                 and
                                           q () ()
                                         nn  q  = 1, (q    1,2,3)
                                          i  i
                 Replacing A with the stress tensor s or strain tensor e in the above operations, one
              can find the principal stresses or principal strains. Due to the invariant nature of the
              three invariants, they are often used in constitutive laws to avoid the violation of objec-
              tivity principle.

              1.5.6 Typical Operators
              Operator   (del) of vector calculus can be represented as:
                                         ∂     ∂     ∂      ∂
                                     ∇=    e  +  e  +  e  =   e                  (1-35)
                                        ∂x  1  ∂x  2  ∂x  3  ∂x  i
                                          1     2     3      i
                 If f is a scalar function then  f = gradf is the gradient of the function. It has applica-
              tions in the plasticity theory for representing the flow rule. The gradient of a scalar
              function is a vector.
                 The gradient of a vector field v is represented as:
                                                ∂v
                                            ∇=    j  e  ⊗e                       (1-36)
                                             v
                                                 ∂x  j  i
                                                  i
                 It is a tensor.
                 The divergence of a vector field v is also scalar. It can be represented as:
                                            ∂v       ∂v    ∂v
                                      ∇• =    j  e  • e  =  j δ  =  i            (1-37)
                                         v
                                            x  i  j  x  ij  ∂x
                                             i        i      i
                 The curl of a vector is a vector and is defined as:
                                                    ∂v
                                           ∇× = ξ     j  e                       (1-38)
                                               v
                                                  ijk  ∂x  k
                                                      i
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