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作 者:Chao Zhang Connor O'Shaughnessy Sadaf Maramizonouz Vasileios Angelidakis Sadegh Nadimi
机构地区:[1]School of Engineering,Newcastle University,Newcastle Upon Tyne,United Kingdom [2]School of Natural and Built Environment,Queen's University Belfast,Belfast,United Kingdom
出 处:《Particuology》2025年第3期105-116,共12页颗粒学报(英文版)
基 金:the support of the UK Engineering and Physical Sciences Research Council(EPSRC)for the studentship of second author;supported by EPSRC grant No.EP/VO53655/1 RAILSANDING-Modelling Particle Behaviour in the Wheel-Rail Interface.
摘 要:Voro-Pack,an open-source code is introduced to reconstruct real particles into multi-sphere clusters consisting of fragments with controlled size distributions,enabling experiment-informed fragment size distributions(FSD).Two types of silica sand are employed to evaluate the performance of the code,where FsD data are obtained through laser diffraction and sieving,and particle shape information is obtained through micro computed tomography.The results show that the particle sizes and shapes of the multi-sphere clusters generated by the code are in good agreement with those of real particles.It is found that the fragment sizes in the multi-sphere clusters aligned more closely with the real FSD data when laser diffraction data were used as input,compared to sieving.The volume ratio of the multisphere clusters to the actual particles is a key factor influencing the size distribution of fragments,with better matching to the actual FSD data when the volume ratio exceeds 0.5 and approaches 1.0.Additionally,the particle shape characteristics do not significantly affect the FSD data in the codegenerated clusters.These findings suggest that the Voro-Pack code is an effective tool in reconstructing multi-sphere clusters for particles of various morphologies,providing valuable insights into modelling the breakage of granular materials.
关 键 词:Fragment size distribution Cluster of spheres Particle volume Particle size Particle shape
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