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
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 ..View full abstract
Awarded by ARC
Awarded by Imaging and Medical Beam Line (IMBL) at the Australian Synchrotron
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.