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Computational Mechanics
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Computational Mechanics
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Computational Mechanics
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FFT phase-field model combined with cohesive composite voxels for fracture of composite materials with interfaces

Authors: Aldo Marano; Aldo Marano; Lionel Gélébart; Yang Chen; James Marrow;

FFT phase-field model combined with cohesive composite voxels for fracture of composite materials with interfaces

Abstract

AbstractA framework for damage modelling based on the fast Fourier transform (FFT) method is proposed to combine the variational phase-field approach with a cohesive zone model. This combination enables the application of the FFT methodology in composite materials with interfaces. The composite voxel technique with a laminate model is adopted for this purpose. A frictional cohesive zone model is incorporated to describe the fracture behaviour of the interface including frictional sliding. Representative numerical examples demonstrate that the proposed model is able to predict complex fracture behaviour in composite microstructures, such as debonding, frictional sliding of interfaces, crack deviation and coalescence of interface cracking and matrix cracking.

Keywords

Brittle fracture, Spectral and related methods applied to problems in solid mechanics, laminated composite, Composite and mixture properties, variational phase-field fracture model, fast Fourier transform, frictional cohesive zone model

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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!
21
Top 10%
Average
Top 10%
Green
hybrid
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