Page 190 - Using ANSYS for Finite Element Analysis Dynamic, Probabilistic, Design and Heat Transfer Analysis
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Design optimization   •   177
                        •  The changes in all design variables from the current design to the
                           best feasible design are less than their respective tolerances.
                        •  The changes in all design variables between the last two designs are
                           less than their respective tolerances.


                          Sometimes the solution may terminate before convergence is reached.
                      This happens if one of the following conditions is true:


                        •  The number of loops specified has been performed.
                        •  The number of consecutive infeasible designs has reached the spec-
                           ified limit. The default number is 7.


                      5.2.2.2  First-order Method

                      Like the subproblem approximation method, the first-order method con-
                      verts the problem to an unconstrained one by adding penalty functions to
                      the objective function. However, unlike the subproblem approximation
                      method, the actual finite element representation is minimized and not an
                      approximation. The  first-order  method  uses  gradients  of  the  dependent
                      variables with respect to the design variables. For each iteration, gradient
                      calculations (which may employ a steepest descent or conjugate direction
                      method) are performed in order to determine a search direction, and a
                      line search strategy is adopted to minimize the unconstrained problem.
                      Thus, each iteration is composed of a number of sub-iterations that include
                      search direction and gradient computations. That is why one optimization
                      iteration for the first-order method performs several analysis loops.
                          Convergence Checking: First-order iterations continue until either
                      convergence is achieved or termination occurs. The problem is said to be
                      converged if, when comparing the current iteration design set to the previ-
                      ous and best sets, one of the following conditions is satisfied:

                        •  The change in objective function from the best design to the current
                           design is less than the objective function tolerance.
                        •  The change in objective function from the previous design to the
                           current design is less than the objective function tolerance.


                      5.2.3  oPTiMizATion DeSign TooLS

                      In addition to the two optimization techniques, the ANSYS program offers
                      a set of strategic tools that can be used to enhance the efficiency of the
                      design process. For example, a number of random design iterations can be
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