Page 191 - Numerical Analysis and Modelling in Geomechanics
P. 191

172 ANNAMARIA CIVIDINI AND GIANCARLO GIODA
            introduced into a direct search algorithm by means of a penalisation procedure.
            When  a  point  in  the  space  of  the  free  variables  is  reached  outside  the  feasible
            domain,  the  error  function  is  assigned  a  large  value  so  that  the  minimisation
            algorithm  automatically  drives  back  the  optimisation  path  into  the  feasible
            region.
              This  penalty  approach  is  general  and  simple  to  implement.  In  fact,  no
            assumptions  are  required  on  the  characteristics  of  the  constraints  and  the
            computer program for constrained minimisation can be easily obtained with few
            modifications of the code for unconstrained minimisation.
              From  the  computational  viewpoint  the  back  analysis  approach  requiring  the
            minimisation  of  the  error  function  expressed  by  eq.  (6.11)  presents  non-
            negligible differences with respect to that based on the least square method (eq.
            (6.10)). In fact, the inverse technique, specifically developed for the calibration of
            elasticity parameters, requires a number of iterations in general smaller than that
            of the direct method.
              On the other hand, each iteration of the direct method involves the inversion
            of  a  partitioned  stiffness  matrix,  which  is  in  general  computationally  more
            cumber  some  that  the  solution  of  the  equation  system  required  by  the  direct
            procedure.
              It is not straightforward to work out a general criterion for choosing the most
            convenient  algorithm  for  back  analysis.  However,  it  should  be  observed  that
            inverse  techniques  are  particularly  convenient  when  dealing  with  a  relatively
            large number of unknown parameters and when the finite element mesh has a small
            number of nodal variables. On the contrary, the direct procedures are preferable
            when a few parameters are back analysed using large finite element meshes.
              Another  point  to  be  taken  into  account  concerns  the  programming  effort  for
            implementing these techniques. In this respect the back analysis methods based
            on  direct  search  algorithms  present  a  non-negligible  advantage  compared  with
            the  inverse  procedures.  In  fact,  while  the  inverse  procedures  require  the
            implementation  of  an  ad  hoc  computer  program,  the  direct  approach  can  be
            implemented  on  the  basis  of  standard  computer  codes  for  non-linear  function
            minimisation  in  which  the  finite  element  program  for  stress  analysis  is
            introduced  as  a  subroutine.  This  requires  some  simple  changes  to  the  original
            finite  element  code,  and  a  limited  programming  effort.  In  addition,  the  same
            stress analysis and minimisation programs can be used for various back analysis
            problems,  merely  by  considering  the  calculated  quantities  as  functions  of  the
            current unknown parameters, regardless of their physical nature.


                                 Probabilistic back analysis
            The field measurements that represent the data of the back analysis are in general
            affected by errors that depend on the nature of the measured quantities, on the
            characteristics  of  the  adopted  devices,  on  the  field  conditions,  etc.  Various
            techniques have been proposed in the literature to evaluate the influence of these
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