Calibration of the discrete element method: Strategies for spherical and non-spherical particles

C Coetzee - Powder Technology, 2020 - Elsevier
The discrete element method (DEM) is a numerical tool used for the modelling of granular
materials. However, accurate predictions of material behaviour can only be made if the input …

Performance analysis of a bucket drum for lunar regolith collection in lunar base construction

H Li, Y Gao, Y Zhou, C Zhou - Automation in Construction, 2024 - Elsevier
To facilitate the collection of lunar regolith for lunar base construction, the use of a bucket
drum has emerged as an efficient and convenient method. This paper aimed to investigate …

[HTML][HTML] Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM

P Hartmann, H Cheng, K Thoeni - Computers and Geotechnics, 2022 - Elsevier
This work presents an efficient probabilistic framework for the Bayesian calibration of micro-
mechanical parameters for Discrete Element Method (DEM) modelling. Firstly, the superior …

Integrating Graph Neural Network-Based Surrogate Modeling with Inverse Design for Granular Flows

Y Jiang, E Byrne, J Glassey, X Chen - Industrial & Engineering …, 2024 - ACS Publications
Granular flows are central to a wide range of natural phenomena and industrial processes
such as landslides, industrial mixing, and material handling and present intricate particle …

Calibration of DEM simulations for dynamic particulate systems

C Windows-Yule, A Neveu - Papers in physics, 2022 - papersinphysics.org
Calibration and validation represent crucial but often-overlooked ingredients in the
successful application of discrete element method (DEM) simulations. Without rigorous …

[HTML][HTML] Calibration of micromechanical parameters for the discrete element simulation of a masonry arch using artificial intelligence

G Kibriya, Á Orosz, J Botzheim, K Bagi - Infrastructures, 2023 - mdpi.com
This study focuses on an old but still unresolved problem of automatically calibrating the
constitutive parameters of discrete element models. Instead of the troublesome and time …

Optimization of DEM parameters using multi-objective reinforcement learning

F Westbrink, A Elbel, A Schwung, SX Ding - Powder Technology, 2021 - Elsevier
Abstract Simulations with the Discrete Element Method (DEM) have become prominent for
analyzing bulk behavior in various industries. For each application the material has to be …

DEM modelling of railway ballast using the Conical Damage Model: a comprehensive parametrisation strategy

B Suhr, WA Skipper, R Lewis, K Six - Granular Matter, 2022 - Springer
Despite ongoing research, the parametrisation of a DEM model is a challenging task, as it
depends strongly on the particle shape representation used, particle-particle contact law …

Calibration and experimental verification of discrete element parameters of Panax notoginseng root

K Xie, Z Zhang, X Yu, C Wang, S Jiang - International Journal of …, 2024 - ijabe.org
Existing discrete element method-based simulation analysis of Panax notoginseng root soil
separation still has the challenge to get the accurate and reliable basic parameters, which …

Universal approach for DEM parameters calibration of bulk materials

A Boikov, R Savelev, V Payor, A Potapov - Symmetry, 2021 - mdpi.com
DEM parameters calibration is the most important step in preparing a DEM model. At the
same time, the lack of a universal approach to DEM parameters calibration complicates this …