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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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