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Stochastic generation of virtual air pores in granular materials

Chiarelli, Andrea; Dawson, Andrew; Garcia, Alvaro

Authors

Andrea Chiarelli

Andrew Dawson

Alvaro Garcia



Abstract

A computational method is described for the generation of virtual air pores with randomized features in granular materials. The method is based on the creation of a stack of two dimensional stochastically generated domains of packed virtual aggregate particles that are converted to three dimensions and made to intersect with one another. The three dimensional structure that is created is then sampled with an algorithm that detects the void space left between the intersected particles, which corresponds to the air void volume in real materials. This allows the generation of a map of the previously generated three dimensional model that can be used to analyse the topology of the void channels. The isotropy of the samples is here discussed and analysed. The air void size distribution in all the virtual samples generated in this study is described with the Weibull distribution and the goodness of fit is successfully evaluated with the Kolmogorov–Smirnov test. The specific surface of the virtual samples is also successfully compared to that of real samples. The results show that a stochastic approach to the generation of virtual granular materials based only on geometric principles is feasible and provides realistic results.

Citation

Chiarelli, A., Dawson, A., & Garcia, A. (2015). Stochastic generation of virtual air pores in granular materials. Granular Matter, 17(5), doi:10.1007/s10035-015-0585-x

Journal Article Type Article
Acceptance Date Aug 16, 2015
Online Publication Date Aug 30, 2015
Publication Date Oct 3, 2015
Deposit Date Jul 8, 2016
Publicly Available Date Jul 8, 2016
Journal Granular Matter
Print ISSN 1434-5021
Electronic ISSN 1434-5021
Publisher Humana Press
Peer Reviewed Peer Reviewed
Volume 17
Issue 5
DOI https://doi.org/10.1007/s10035-015-0585-x
Keywords Granular material ; Air void content ; Packing ; Porosity ; Asphalt
Public URL http://eprints.nottingham.ac.uk/id/eprint/34771
Publisher URL http://link.springer.com/article/10.1007%2Fs10035-015-0585-x
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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