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Computational Science, Engineering & Technology Series
ISSN 1759-3158 CSETS: 20
TRENDS IN ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: M. Papadrakakis, B.H.V. Topping
Chapter 9
An Enrichment-Based Multiscale Partition of Unity Method M. Macri1 and S. De2
1Army Research Lab, APG, MD, United States of America M. Macri, S. De, "An Enrichment-Based Multiscale Partition of Unity Method", in M. Papadrakakis, B.H.V. Topping, (Editors), "Trends in Engineering Computational Technology", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 9, pp 173-187, 2008. doi:10.4203/csets.20.9
Keywords: enrichment, partition of unity, multiscale, composites, cracks, homogenization.
Summary
In order to create materials for the basis of new products, engineers must learn to
model and design the macroscale by taking into account the relevant micro structural
features. The goal of multiscale modelling is to capture the microscopic phenomena,
while still preserving the macroscopic conservation principles.
One popular multiscale method is the mathematical theory of asymptotic homogenization [1], which uses asymptotic expansions of field variables about macroscopic values. However, the homogenization method suffers from a major limitation stemming from the fact that it breaks down in critical regions of high gradients such as cracks. To overcome the drawbacks of the existing methods we propose an enrichment method based on the principles of partition of unity [2], which uses an enrichment technique for the modelling of heterogeneous media in the presence of singularities in order to compute the microscopic fields near the crack edge within the macroscale computations. A structural enrichment-based homogenization method is introduced in which the approximation space at the macroscopic scale is enriched by functions generated at the microscopic scale using the asymptotic homogenization technique. To confine the enrichment to a region around the crack we implement a geometry independent enrichment technique developed in [3]. The method is examined for both one and two-dimensional problems. References
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