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MODELING OF GRANULAR AND CELLULAR MATERIALS

Authors: Czachor, H.M.; Andrzej Góźdź;

MODELING OF GRANULAR AND CELLULAR MATERIALS

Abstract

Two different approaches for modeling of granular and cellular materials are presented. The first shows a packing procedure for the reconstruction and quantification of loose, granular media. The reconstruction takes into account the grain size distribution and the porosity of the investigated medium. The concept was examined for six sandy and sandy loam media. In the second approach, a new, unified description of granular and cellular media is proposed, based on a theory similar to quantum mechanics.

Country
Poland
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    4
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
4
Average
Top 10%
Average
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