Page 186 - Process Modelling and Simulation With Finite Element Methods
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Chapter 5

                     SIMULATION AND NONLINEAR DYNAMICS


                                  W.B.J. ZIMMERMAN
               Department of Chemical and Process Engineering, University of Shefield,
                       Newcastle Street, Sheffield SI 3JD United Kingdom

                              E-mail: w.zimmerman @she$ac.uk

             Eigensystem  analysis of  the linearized  operator  derived by FEM analysis  (the stiffness
             matrix) is a powerful  tool for characterizing the local  stability of  transient  evolution  of
             nonlinear dynamical systems governed by pdes and for parametric  stability of stationary,
             nonlinear problems.  Here we discuss how to perform such an analysis in the context of
             two complex systems - Benard convection  and viscous fingering instabilities.  The later
             are simulated  from  “white  noise”  initial  conditions added to a  base flow.  The linear
             stability  theory  in  both  cases  assumes  that  the  noisy  initial  conditions  include  all
             frequencies,  and thus whichever eigenvalue  has the largest real part corresponds to the
             eigenmode that  grows  most  rapidly.  FEM  eigenanalysis  is  shown  to  reproduce  the
             predictions of linear stability theory with good agreement, but is more general in regimes
             of applicability.

          5.1  Introduction

          Modelling versus Simulation
          So  far,  we  have  been  concerned  with  the  use  of  FEM  for  computational
          modeling.  The model could be expressed as a well posed mathematical system,
          typically  PDEs  with  boundary  and  initial  conditions,  possibly  algebraic
          constraints.  Such  systems  are  theoretically deterministic, i.e.  the  state  of  the
          system  can  be  known  up  to  any  arbitrary  accuracy  at  any  given  time.  By
          simulation, something different is usually understood - the physics of the system
          includes some element of randomness in its temporal development.  So we don’t
          expect  a  simulation to  be  perfectly  accurate  in  all  details.  Simulations  are
          expected to mimic the microscopic behaviour of  complex systems, typically by
          posing  interaction  rules  for  subsystems  from  which  the  global,  coordinated
          behaviour of the whole system emerges.  Where the low level interaction rules of
          the  system are particularly poorly physically  based, the  simulation predictions
          about global emergent properties must be validated by experiment, perhaps even
          semi-empirically fitted.







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