Journal article

Impact of particle shape on networks in sands

Wenbin Fei, Guillermo A Narsilio, Joost H van der Linden, Antoinette Tordesillas, Mahdi M Disfani, J Carlos Santamarina

Computers and Geotechnics | Elsevier | Published : 2021

Abstract

Employing network science to understand particle interactions helps manufacture advanced materials with superior force transmission and heat transfer. However, knowledge of the dependence of networks on particle features such as shape is missing. This study computes particle shape ─ the average of three-dimensional sphericity and roundness, and multiscale network variables ─ degree, edge betweenness centrality and global clustering coefficient from unweighted/weighted contact and thermal networks ─ for three sands based on their X-ray computed tomography images. The dependence of network features on particle shape is explored for both individual particles and bulk sand samples. Results show ..

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Grants

Awarded by ARC


Awarded by Imaging and Medical Beam Line (IMBL) at the Australian Synchrotron


Funding Acknowledgements

The ARC DP210100433 project provides the basis for this work. The Imaging and Medical Beam Line (IMBL) at the Australian Synchrotron, Dr A Maksimenko and other beam scientists are acknowledged for their support via grants AS1/IMBL/15795 2020 and AS163/IM/11188.