TY - JOUR
T1 - The role of particle shape in computational modelling of granular matter
AU - Zhao, Jidong
AU - Zhao, Shiwei
AU - Luding, Stefan
N1 - Funding Information:
J.Z. and S.Z. acknowledge the financial supports from the National Natural Science Foundation of China (via Project Nos 11972030 and 51909095) and Research Grants Council of Hong Kong (GRF Projects Nos 16206322, 16208720 and 16211221 and F-HKUST601/19). J.Z. also acknowledges the supports by the Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone (HZQB-KCZYB-2020083) and the internal research supports provided by HKUST (FP907, IEG22EG01 and IEG22EG01PG).
Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Granular matter is ubiquitous in nature and is present in diverse forms in important engineering, industrial and natural processes. Particle-based computational modelling has become indispensable to understand and predict the complex behaviour of granular matter in these processes. The success of modern computational models requires realistic and efficient consideration of particle shape. Realistic particle shapes in naturally occurring and engineered materials offer diverse challenges owing to their multiscale nature in both length and time. Furthermore, the complex interactions with other materials, such as interstitial fluids, are highly nonlinear and commonly involve multiphysics coupling. This Technical Review presents a comprehensive appraisal of state-of-the-art computational models for granular particles of either naturally occurring shapes or engineered geometries. It focuses on particle shape characterization, representation and implementation, as well as its important effects. In addition, the particles may be hard, highly deformable, crushable or phase transformable; they might change their behaviour in the presence of interstitial fluids and are sensitive to density, confining stress and flow state. We describe generic methodologies that capture the universal features of granular matter and some unique approaches developed for special but important applications.
AB - Granular matter is ubiquitous in nature and is present in diverse forms in important engineering, industrial and natural processes. Particle-based computational modelling has become indispensable to understand and predict the complex behaviour of granular matter in these processes. The success of modern computational models requires realistic and efficient consideration of particle shape. Realistic particle shapes in naturally occurring and engineered materials offer diverse challenges owing to their multiscale nature in both length and time. Furthermore, the complex interactions with other materials, such as interstitial fluids, are highly nonlinear and commonly involve multiphysics coupling. This Technical Review presents a comprehensive appraisal of state-of-the-art computational models for granular particles of either naturally occurring shapes or engineered geometries. It focuses on particle shape characterization, representation and implementation, as well as its important effects. In addition, the particles may be hard, highly deformable, crushable or phase transformable; they might change their behaviour in the presence of interstitial fluids and are sensitive to density, confining stress and flow state. We describe generic methodologies that capture the universal features of granular matter and some unique approaches developed for special but important applications.
KW - 2023 OA procedure
UR - http://www.scopus.com/inward/record.url?scp=85167503669&partnerID=8YFLogxK
U2 - 10.1038/s42254-023-00617-9
DO - 10.1038/s42254-023-00617-9
M3 - Review article
AN - SCOPUS:85167503669
SN - 2522-5820
VL - 5
SP - 505
EP - 525
JO - Nature Reviews Physics
JF - Nature Reviews Physics
IS - 9
ER -