The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/3762f6a1-c26b-4ec7-b005-adf14b376831

Saghafian Larijani, Roxana; Magnanimo, Vanessa; Luding, Stefan (2025): Data underlying the publication: A Coarse-Grained Discrete Element Model (CG-DEM) for dense wet granular system . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3762f6a1-c26b-4ec7-b005-adf14b376831.v1

Dataset

• Civil Engineering
• Mechanical Engineering
• Chemical Engineering
• Engineering

Coarse-graining, DEM, Liquid bridges, Particles, Rotating drum, upscaling

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by R. Saghafian Larijani , Vanessa Magnanimo, Stefan Luding

Relevant files for reproducing base case simulations in the paper "A Coarse-Grained Discrete Element Model (CG-DEM) based on parameter scaling for dense wet granular system ", https://doi.org/10.1016/j.powtec.2024.120581.

The files include: 1)The modified version of the ViscoelasticCapillarPM.cpp and ViscoelasticCapillarPM.hpp scripts in Yade-DEM source code, which includes the modification in the liquid viscous force and the calculation of the capillary force at the contact of two wet particles. For more information on how to install the source code of Yade please visit: https://yade-dem.org/doc/installation.html.

2)Python scripts for running simulations for simulations in dry, wet without liquid migration, and wet with liquid migration. In these simulations, particles with coarse-graining factor of nCG=3 has been used. Note that the liquid migration engine should be activated for case of wet particle system with liquid migration.

3).VTK outputs of the simulation cases above for visualization.

• 2025-01-10 first online, published, posted

4TU.ResearchData

Zipped files including: script/.py, script/.hpp, script/.cpp, files/.vtk, geometry/.stl

A Coarse-Grained Discrete Element Model (CG-DEM) based on parameter scaling for dense wet granular system

University of Twente, Faculty of Engineering Technology (ET), Department of Civil Engineering and Management (CEM)