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Generation of 3D representative volume elements for heterogeneous materials: a review
Citation Link: https://doi.org/10.15480/882.1734
Publikationstyp
Journal Article
Date Issued
2018
Sprache
English
Author(s)
TORE-DOI
Journal
Volume
96
Start Page
322
End Page
384
Citation
Progress in Materials Science 96: 322-384 (2018)
Publisher DOI
Scopus ID
Publisher
Elsevier
This work reviews state of the art representative volume element (RVE) generation techniques for heterogeneous materials. To this end, we present a systematic classification considering a wide range of heterogeneous materials of engineering interest. Here, we divide heterogeneous solids into porous and non-porous media, with 0 < void volume fraction < 1 and void volume fraction = 0, respectively. Further subdivisions are realized based on various morphological features. The corresponding generation methods are classified into three categories: (i) experimental methods targeting reconstruction through experimental characterization of the microstructure, (ii) physics based methods targeting simulation of the physical process(es) responsible for the microstructure formation and evolution, and (iii) geometrical methods concentrating solely on mimicking the morphology (ignoring the physical basis of the microstructure formation process). These comprise of various mathematical tools such as digital image correlation, tessellation, random field generation, and differential equation solvers. For completeness, relevant up-to-date software tools, used at various stages of RVE generation – either commercial or open-source – are summarized. Considered methods are reviewed based on their efficiency and predictive performance with respect to geometrical and topological properties of the microstructures.
Subjects
Representative volume element
RVE generation
Microstructure
Polycrystal
Matrix-inclusion composite
nanocomposite
Metamaterial
Porous media
Lamellar
Fiber reinforced composite
Nanoporous metal
Open cell structure
Closed cell structure
Aggregate
Agglomerate
DDC Class
620: Ingenieurwissenschaften
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