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Erschienen in: Computational Mechanics 1/2015

01.07.2015 | Original Paper

Nonlinear reduced order homogenization of materials including cohesive interfaces

verfasst von: Felix Fritzen, Matthias Leuschner

Erschienen in: Computational Mechanics | Ausgabe 1/2015

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Abstract

The mechanical response of composite materials is strongly influenced by the nonlinear behavior of the interface between the constituents. In order to make reliable yet computationally efficient predictions for such materials, a reduced order model is developed. Conceptual ideas of the NTFA (Michel and Suquet, Int J Solids Struct 40:6937–6955, 2003, Comput Methods Appl Mech Eng 193:5477–5502, 2004) and of the pRBMOR (Fritzen, Hodapp and Leuschner Comput Methods Appl Mech Eng 260:143–154, 2013, Fritzen et al., Comput Methods Appl Mech Eng 278:186–217, 2014) are adopted. The key idea is to parameterize the displacement jumps on the cohesive interfaces by a reduced basis of global ansatz functions. Micromechanical considerations and the potential structure of the constitutive models lead to a variational formulation and reduced equilibrium conditions. The effect of the preanalysis phase on the accuracy is investigated using geometrically optimal training directions. The reduced model is tested for three-dimensional microstructures. Besides the effective stress response, the tension–compression asymmetry and the distribution of the separation of the interface are investigated. Memory savings on the order of \(10^5\) are realized. The computing time is reduced considerably.

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Fußnoten
1
Except for two cases: (a) the minor increase of the max. error in Fig. 10, bottom left for \(N_\mathrm{dir}=64\) and \(N_\zeta \) around 48; (b) the better accuracy for \(N_\mathrm{dir}=64\) over \(128\) for \(N_\zeta =20\).
 
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Metadaten
Titel
Nonlinear reduced order homogenization of materials including cohesive interfaces
verfasst von
Felix Fritzen
Matthias Leuschner
Publikationsdatum
01.07.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Computational Mechanics / Ausgabe 1/2015
Print ISSN: 0178-7675
Elektronische ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-015-1163-0

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