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 24 result(s).

Title Author(s) Year Source Publisher
An improved specimen generation method for DEM based on local Delaunay tessellation and distance function B. Yun, C. Zhao, J. Liu 2012 International Journal for Numerical and Analytical Methods in Geomechanics Wiley-VCH
Specimen Generation Approaches For Dem Simulations C. O’Sullivan, D. Barreto, L. Zdravkovic 2008 Deformation Characteristics of Geomaterials IOS Press
Analysis of a triangulation based approach for specimen generation for discrete element simulations C. O’Sullivan, L. Cui 2003 Granular Matter Springer
A New Method for the Generation of Polydisperse DEM Specimens C. Shen, S. Liu, Y. Wang 2017 Proceedings of the 7th International Conference on Discrete Element Methods Springer
Modes I and II stress intensity factors of semi-circular bend specimen computed for two-phase aggregate/mastic asphalt mixtures B. Mojaradi, H. Ziari, M. J. Sarbijan, M.R.M. Aliha 2019 Theoretical and Applied Fracture Mechanics Elsevier
A corner preserving algorithm for realistic DEM soil particle generation J. Zheng, R. D. Hryciw 2017 Granular Matter Springer
Acoustic emission detection in concrete specimens: Experimental analysis and lattice model simulations A. Carpinteri, G. Lacidogna, I. Iturrioz 2013 International Journal of Damage Mechanics Sage
Phenomenological Modelling Of Crack Generation In Brittle Crustal Rocks Using The Particle Simulation Method A. Ord, B. E. Hobbs, C. Zhao, P. Hornby, P.A. Robert, S. Peng 2007 Journal of Structural Geology Elsevier
An efficient technique for generating homogeneous specimens for DEM studies J.-M. Konrad, M.J. Jiang, S. Leroueil 2003 Computers and Geotechnics Elsevier
Fast and efficient particle packing algorithms based on triangular mesh F. Liu, G. Zhao, K. Xia, K. Zhang 2020 Powder Technology Elsevier