On the generation of RVE-based models of composites reinforced with long fibres or spherical particles

G. Catalanotti

doi:10.1016/j.compstruct.2015.11.039

On the generation of RVE-based models of composites reinforced with long fibres or spherical particles

G. Catalanotti^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

31 Citations (Scopus)

503 Downloads (Pure)

Abstract

An algorithm to create random distributions of uniform spherical or circular particles is proposed here with the aim of generating RVE-based micro-mechanical models for composites reinforced with long fibres or spherical particles. The algorithm is fast, able to represent the randomness of the material and to generate RVEs with any volume fraction, from 0 to its highest theoretical value, i.e. π/3√2≈0.74 and π√3/6≈0.91 for spheres and circles, respectively. Several statistical spatial descriptors were used to evaluate the goodness of the generated particles' distributions. It was concluded that the proposed algorithm can be used to generate statistically representative distributions of uniform particles.

Original language	English
Pages (from-to)	84-95
Number of pages	12
Journal	Composite Structures
Volume	138
Early online date	30 Nov 2015
DOIs	https://doi.org/10.1016/j.compstruct.2015.11.039
Publication status	Published - 15 Mar 2016
Externally published	Yes

Keywords

Micro-mechanical models
Representative Volume Elements (RVEs)
Spatial statistics
Sphere packing

ASJC Scopus subject areas

Civil and Structural Engineering
Ceramics and Composites

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10.1016/j.compstruct.2015.11.039Licence: Unspecified

On the generation of RVE–based models of composites reinforced with long fibres or spherical particles
© 2016 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/,which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 1.8 MBLicence: CC BY-NC-ND

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