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We have presented a systematic approach to reliable error control and mesh design
for finite element models in linear-elastic perfect plasticity. The mesh refinement
or coarsening is based on weighted a posteriori error estimates which are derived by
solving linearized dual problems. In this way most economical meshes and error bounds
can be generated at acceptable cost. In fact, the evaluation of the a posteriori
error bounds only amounts to less than 30% of the total cost as it requires only
to solve a few linear dual problems within a Newton iteration for the given
nonlinear problem. The efficiency and reliability of this technique has been
demonstrated at a (plane strain) model problem using a primal-mixed
formulation of Hencky and Prandtl-Reuss plasticity. More test calculations including a
benchmark problem ,,disk with a hole'' are reported in [34]. Our approach
is not dimension dependent and can be applied also to three-dimensional problems.
Here, the gain in efficiency due to more economical meshes may be even greater
than in the two-dimensional case. We plan to perform such a test in the near future
for the three-dimensional analogue of the ,,disk with a hole'' benchmark.
In this study we have neglected the effect of the error due to the incremental loading
(time-discretization error) as it seems to be of minor importants compared to that
of the spatial discretization. However, being forced, for safety, to work with very small
load increments may cause a significant loss of efficiency for the whole solution
process. Hence, we will investigate the extension of our adaptive method to also
include control of the error in the loading process. This may become very costly as
then the dual problems have to be solved in the space-time domain requiring to store
the computed solution over the whole time interval.
A further extension of the present study will include the effect of hardening by
considering an additional interior variable which describes the change in the flow rule
during the loading process. We expect our method for a posteriori error estimation to
work even better in this case, as due to the hardening effect the dual problems become
more regular and easier to solve.
Nächste Seite: Zusammenarbeit mit anderen Teilprojekten
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Vorherige Seite: Primal versus dual-mixed formulation
sutti
2000-04-19