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Computer Methods in Materials Science
Article . 2013 . Peer-reviewed
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Numerical aspects of computational homogenization

Authors: Marta Serafin; Witold Cecot;

Numerical aspects of computational homogenization

Abstract

Computational homogenization enables replacement of a heterogeneous domain by an equivalent body with effective material parameters. Approach that we use is based on two-scale micro/macro analysis. In the micro-scale heterogeneous properties are collected in so-called representative volume elements (RVE), which are small enough to satisfy separation scale condition, but also large enough to contain all information about material heterogeneity. In the macro-scale the material is assumed as a homogeneous with the effective material parameters obtained during RVE analysis. The coupling between both scales is provided at the selected macro-level points, which are associated to independent RVE. Then, approximation of solution in the whole domain is performed. Even though such a homogenization significantly reduces the time of computation, the efficiency and accuracy of the analysis are still not trivial issues. In the micro-level it is required to guarantee accurate representation of heterogeneity and at both scales the optimal number of degrees of freedom should be used. The paper presents application of one of the most efficient numerical techniques, i.e. automatic hp-adaptive FEM that enables a user to obtain error-controlled results in rather short time, assessment of homogenization error, that is crucial for determination of parts of the body, where homogenization cannot be used and the hp-mixed FEM discretization details.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Published in a Diamond OA journal
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