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Ph.D.
                                                                                 (Engineering & Technology)
          STRUCTURAL OPTIMIZATION BY COUPLING MESHFREE
          METHOD AND FINITE ELEMENT METHOD

          Ph.D. Scholar : Rohit Gaurangkumar Ramanbhai
          Research Supervisor : Dr. Vikram B. Patel



                                                                                Regi. No.: 15146051007
          Abstract :
          In this research work, an innovative numerical technique for optimizing structural shapes
          using  the  couple  Meshless  Method  (MM)-Finite  Element  Method  (FEM)  and  the
          stochastic optimization algorithm is used. In shape optimization, the interior and exterior
          boundaries  of  a  structure  are  varied  to  produce  the  most  optimal  geometric
          configuration. As a result, structures are lighter, more reliable, and more cost-effective.
          Thus,  it  has  remained  an  active  research  area  in  the  field  of  product  design  and
          development since the early 1970s.

          For  structural  analysis  in  shape  optimization,  coupled  MM-FEM  has  been  used  to
          eradicate  well-known  issues  related  to  traditional  FEM.  These  issues  include  frequent
          remeshing  in  case  of  large  shape  variations.  Moreover,  the  FEM  solution  does  not
          continue  across  the  element  boundaries.  The  coupled  MM-FEM  technique  provides  a
          better  solution  in  terms  of  solution  accuracy  within  permissible  computation  time.
          Additionally,  it  is  also  possible  to  address  the  issue  of  imposing  essential  boundary
          conditions  (EBCs).    The  ramp  function  is  used  as  a  coupling  technique  to  achieve
          continuity at the interface elements.

          For the present study, Swarm Intelligence (SI) based particle swarm optimization (PSO)
          algorithm is used. A population-based stochastic optimization approach eliminates the
          computational burden, complexity, and errors associated with design sensitivity analyses
          (DSA). For boundary representation, Akima spline interpolation was used, due to its higher
          stability  and  smoothness  over  the  Cubic  spline.  Through  numerical  examples  of
          cantilever  and  fixed-fixed  beams  in  2D  linear  elastics  with  behavior  constraints  on
          displacement, the effectiveness, validity, and performance of the proposed technique are
          demonstrated.  In  the  coupled  Element  Free  Galerkin  (EFG)-FE  and  PSO  technique,  the
          influence  of  various  design  variables  and  h-refinement  on  the  optimum  shape  and
          objective  function  value  is  investigated  for  cantilever  beam  and  fixed-fixed  beam.  A
          comparison is made between the proposed techniques and other existing techniques, as
          well as the FEM, to establish their validity and demonstrate their effectiveness.

          Key  words:  Shape  optimization,  Meshless  Methods  (MMs),  Coupled  Element  Free
          Galerkin  (EFG)  method-Finite  Element  (FE)  Method,  Ramp  function,  Particle  Swarm
          Optimization (PSO)                                                                 06
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