Study on the effect of particle morphology on single particle breakage using a combined finite-discrete element method

B Zhou, D Wei, Q Ku, J Wang, A Zhang - Computers and Geotechnics, 2020 - Elsevier
Particle morphology is an inherent characteristic that has a significant influence on breakage
behaviors of natural sands. Based on X-ray micro-computed tomographic scanning and …

Plato's cube and the natural geometry of fragmentation

G Domokos, DJ Jerolmack, F Kun… - Proceedings of the …, 2020 - National Acad Sciences
Plato envisioned Earth's building blocks as cubes, a shape rarely found in nature. The solar
system is littered, however, with distorted polyhedra—shards of rock and ice produced by …

Strong contacts, connectivity and fabric anisotropy in granular materials: a 3D perspective

J Liu, W Zhou, G Ma, S Yang, X Chang - Powder technology, 2020 - Elsevier
The micro-structural fabric and topology play a key role in macroscopic responses of
granular materials. Generally, the contact network is formed by connecting centers of …

Dynamic disintegration processes accompanying transport of an earthquake-induced landslide

G Gao, MA Meguid, LE Chouinard, W Zhan - Landslides, 2021 - Springer
Aiming to understand the dynamic disintegration and transport behavior of an earthquake-
induced landslide, a dynamic discrete element method has been employed to analyze the …

Evolution of particle size and shape towards a steady state: Insights from FDEM simulations of crushable granular materials

G Ma, Y Chen, F Yao, W Zhou, Q Wang - Computers and Geotechnics, 2019 - Elsevier
We add the recent advances in particle shape representation, particle breakage modeling,
and fragmental particle size and shape acquisition to the combined finite and discrete …

Impact of an ice particle onto a rigid substrate: Statistical analysis of the fragment size distribution

M Lausch, LM Reitter, M Schremb, J Hussong - International Journal of …, 2023 - Elsevier
In the present work, the distribution of fragments that result from a normal impact of a
temperature-controlled ice particle onto a dry, heated and rigid wall is investigated. For the …

A machine learning-based multi-scale computational framework for granular materials

S Guan, T Qu, YT Feng, G Ma, W Zhou - Acta Geotechnica, 2023 - Springer
With the development of experimental measurement technology and high-fidelity numerical
simulations of granular materials, empirical-based classical constitutive models may not be …

Fractal dimension, particle shape, and particle breakage analysis for calcareous sand

X Li, J Liu, J Li - Bulletin of Engineering Geology and the Environment, 2022 - Springer
To explore the fractal dimension, particle shape, and particle breakage of calcareous sand
(CS) under multi-level ending pressure, a series of one-dimensional compression …

Machine learning reveals the influences of grain morphology on grain crushing strength

Y Wang, G Ma, J Mei, Y Zou, D Zhang, W Zhou, X Cao - Acta Geotechnica, 2021 - Springer
Grain morphology has significant impacts on the mechanical behaviors of granular
materials. However, its influences on grain breakage are still poorly understood due to the …

A predictive deep learning framework for path-dependent mechanical behavior of granular materials

G Ma, S Guan, Q Wang, YT Feng, W Zhou - Acta Geotechnica, 2022 - Springer
As we transition into an era of data generation and collection, empirical summaries in the
classical continuum modeling of granular materials cannot take full advantage of the …