Page 105 - Process Modelling and Simulation With Finite Element Methods
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92          Process Modelling and Simulation with Finite Element Methods


         where u, are the unknown coefficients. The L,(x) is given by
                 n    x-xM
                                                                    (2.59a)
              M=1,M#N  xN  - xM





         The expansion generates the  polynomials  of  desired order. Lagrange elements
         are  the  most  commonly  used  type  in  CFD.  They  provide  the  value  of  the
         variable at nodes.
             Hennite elements use the Hennite polynomials  to interpolate the values  of
         the field variables. The main difference between Lagrange and Hermite elements
         is the degrees of  freedom (DOF) available.  In  the  case of  Lagrange elements
         DOF are the values of the function at nodes (This consists values of all variables
         at  the  node).  However in Hermite  elements other than  the  function  values  at
         nodes, the first derivatives of the variables at corner points are available.  Again,
          suppose a variable u(x) to be determine over 1-D elements. Since the values at n
                                                                  I  li
         th  and  n+lth  nodes,  u(xn)  and  U(X,+~) and  the  derivatives  du  dx , and
          du/dxli+l are  known  a  polynomial  of  four  unknowns  should  be  used  to
         approximate u(x).
                            u(x) = a, + a2x + a3x2 + a,x  3          (2.60)

         Since xi and xi+! are known positions, one can easily  write four equations:  two
         with function values at nodes and two with first derivatives at nodes.










         where du denotes the derivative of u w.r.t. x at the nodes. By matrix  inversion
          ancan be expressed in  terms  of  nodal  values and  values  of  derivatives.  The
         resulting equation is



          where  qi (x) are  the  Hermite  interpolation  functions  (cubic functions  in  this
         case, also known as cubic splines).
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