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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Composite Structuresarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Composite Structures
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Micromechanical model for polymeric nano-composites material based on SBFEM

Authors: Y. Khudari Bek; K.M. Hamdia; T. Rabczuk; C. Könke;

Micromechanical model for polymeric nano-composites material based on SBFEM

Abstract

Abstract In this study a novel mesh algorithm is introduced to investigate the elastic properties of Polymer Nano-composite (PNC) materials based on the scaled boundary finite element method (SBFEM). The proposed procedure is applied efficiently with very simple mesh and few degrees of freedom compared to the classical finite element method. First, the nanoparticles are randomly distributed within the epoxy matrix to numerically shape the geometry of composite material. Second, a flexible sub-structuring technique in accordance with the random distribution is utilized to model the variation in material and geometry. Next, The interphase of nanoparticles is integrated properly by the new sub-domains generated from the algorithm. Finally, the elastic properties of the material are estimated. The result based on SBFEM showed full agreement with FEM predictions and the corresponding experimental measurements obtained from the literature.

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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!
23
Top 10%
Top 10%
Top 10%
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