DEM Literature Database

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For copyright reasons only abstracts are available here. A link to the publisher’s website is provided, where access to full papers are subject to the respective publishers’ terms and conditions.

Search Results

We found 118 result(s).

Title Author(s) Year Source Publisher
Statistical analysis of monodispersed coarse particle motion in a gas-fluidized bed A. Yu, J. S. Curtis, Q. Hou, Z. Zhou 2020 Powder Technology Elsevier
Improvement in Roller Screening of Green Iron Ore Pellets by Statistical Analysis and Discrete Element Simulations B.B. Silva, E. R. da Cunha, L.M. Tavares, R.M. de Carvalho 2019 Mineral Processing and Extractive Metallurgy Review Taylor & Francis
Statistical analysis of stress transmission in wet granular materials J. Duriez, M. Pouragha, N.H. Sultan, R. Wan 2018 International Journal for Numerical and Analytical Methods in Geomechanics Wiley
Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis E. H. Stitt, M. Marigo, S. K. Wilkinson, Z. Yan 2017 Computational Particle Mechanics Springer
Influence of Size and Shape Properties of Railroad Ballast on Aggregate Packing: Statistical Analysis E. Tutumluer, H. Boler, Y. Qian 2014 Transportation Research Record-Series Sage
A Statistical Analysis Of Void Size Distribution In A Simulated Narrowly Graded Packing Of Spheres B. Cambou, E. Vincens, N. Reboul 2008 Granular Matter Springer
A digitalized 2D particle database for statistical shape analysis and discrete modeling of rock aggregate D. Huang, L. Zhao, S. Zhang, X. Wang 2020 Construction and Building Materials Elsevier
A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) study E. H. Stitt, M. Marigo, S. A. Turnbull, S. K. Wilkinson, Z. Yan 2017 Computers & Chemical Engineering Elsevier
Train–track coupled dynamics analysis: system spatial variation on geometry, physics and mechanics L. Xu, W. Zhai 2020 Railway Engineering Science Springer
Statistical model predicts softening and fluidization induced by vibration in granular materials B. Qi, C. Xu, H. DIng, L.H. Tong 2020 International Journal of Mechanical Sciences Elsevier