Talk abstract:
Analysis and Adaptive Modeling of Highly Heterogeneous Materials
J. Tinsley Oden, University of Texas
An adaptive method for hierarchical modeling of highly heterogeneous
materials is presented. The goal is to resolve a classical paradox
in the analysis of structures with complex microstructures:
how can the effects of fine-scale components of the microstructure
on macroscopic response be determined without exhausting computational
capacities and resources? The approach is based on a-posteriori
error estimates and an adaptive process in which error in traditional
homogenized characterizations is estimated and corrected in
an adaptive process so as to produce results which have a specified
level of accuracy. A manageable computational process is produced
based on our Homogenized Dirichlet Projection Method, which
updates model accuracy by incorporating fine-scale effects when
needed. Several numerical experiments are described.
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Schedule
1996-1997
Mathematics in High Performance Computing
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