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Cited by 37
Parallel DEM Software for Simulation of Granular Media

Parallelization of a DEM Code Based on CPU-GPU Heterogeneous Architecture
Xiaoqiang Yue, Hao Zhang, Congshu Luo, Shi Shu, Chunsheng Feng
https://doi.org/10.1007/978-3-642-53962-6_13
Book:  Communications in Computer and Information Science (Parallel Computational Fluid Dynamics) Volume 405 (2014), p. 149
Bibliography
https://doi.org/10.1016/B978-1-78548-031-7.50010-2
Book:  (2015), p. 137
Armatūros ir betono sankibos mechaninės elgsenos tempiant modeliavimas
Saulius PILKAVIČIUS
https://doi.org/10.20334/2268-M
Book:  (2014)
A GPU-based discrete element modeling code and its application in die filling
Xiaoqiang Yue, Hao Zhang, Chunhai Ke, Congshu Luo, Shi Shu, Yuanqiang Tan, Chunsheng Feng
https://doi.org/10.1016/j.compfluid.2014.11.020
Journal:  Computers & Fluids Volume 110 (2015), p. 235
A co-located partitions strategy for parallel CFD–DEM couplings
Gabriele Pozzetti, Xavier Besseron, Alban Rousset, Bernhard Peters
https://doi.org/10.1016/j.apt.2018.08.025
Journal:  Advanced Powder Technology Volume 29, Issue 12 (2018), p. 3220
A comparative study of emerging material point method and FEM for forming simulation of textile reinforcements
Amir Nazemi, Abbas S. Milani
https://doi.org/10.1016/j.compositesa.2024.108284
Journal:  Composites Part A: Applied Science and Manufacturing Volume 185 (2024), p. 108284
A comprehensive review of the application of DEM in the investigation of batch solid mixers
Behrooz Jadidi, Mohammadreza Ebrahimi, Farhad Ein-Mozaffari, Ali Lohi
https://doi.org/10.1515/revce-2021-0049
Journal:  Reviews in Chemical Engineering Volume 39, Issue 5 (2023), p. 729
A comprehensive study of MPI parallelism in three-dimensional discrete element method (DEM) simulation of complex-shaped granular particles
Beichuan Yan, Richard A. Regueiro
https://doi.org/10.1007/s40571-018-0190-y
Journal:  Computational Particle Mechanics Volume 5, Issue 4 (2018), p. 553
A fast scalable implementation of the two-dimensional triangular Discrete Element Method on a GPU platform
Lin Zhang, Steven F. Quigley, Andrew H.C. Chan
https://doi.org/10.1016/j.advengsoft.2012.10.006
Journal:  Advances in Engineering Software Volume 60-61 (2013), p. 70
A parallel DEM approach with memory access optimization using HSFC
Diogo Tenório Cintra, Ramiro Brito Willmersdorf, Paulo Roberto Maciel Lyra, William Wagner Matos Lira
https://doi.org/10.1108/EC-07-2015-0203
Journal:  Engineering Computations Volume 33, Issue 8 (2016), p. 2463
A study on adjusted contact force laws for accelerated large scale discrete element simulations
Harald Kruggel-Emden, Frantisek Stepanek, Ante Munjiza
https://doi.org/10.1016/j.partic.2009.07.006
Journal:  Particuology Volume 8, Issue 2 (2010), p. 161
Comparison between pure MPI and hybrid MPI-OpenMP parallelism for Discrete Element Method (DEM) of ellipsoidal and poly-ellipsoidal particles
Beichuan Yan, Richard A. Regueiro
https://doi.org/10.1007/s40571-018-0213-8
Journal:  Computational Particle Mechanics Volume 6, Issue 2 (2019), p. 271
Computation and visualization of discrete particle systems on gLite-based grid
Arnas Kačeniauskas, Rimantas Kačianauskas, Algirdas Maknickas, Darius Markauskas
https://doi.org/10.1016/j.advengsoft.2011.02.007
Journal:  Advances in Engineering Software Volume 42, Issue 5 (2011), p. 237
Discrete element simulation of particle motion in ball mills based on similarity
Shengqiang Jiang, Yixuan Ye, Yuanqiang Tan, Sisi Liu, Jingang Liu, Hao Zhang, Dongmin Yang
https://doi.org/10.1016/j.powtec.2018.05.012
Journal:  Powder Technology Volume 335 (2018), p. 91
Discrete modeling of rockfill materials considering the irregular shaped particles and their crushability
Professor Y.T. Feng, Professor Xikui Li, Prof, Wei Zhou, Gang Ma, Xiao-Lin Chang, Yin Duan
https://doi.org/10.1108/EC-04-2014-0086
Journal:  Engineering Computations Volume 32, Issue 4 (2015), p. 1104
Efficient parallel CFD-DEM simulations using OpenMP
Amit Amritkar, Surya Deb, Danesh Tafti
https://doi.org/10.1016/j.jcp.2013.09.007
Journal:  Journal of Computational Physics Volume 256 (2014), p. 501
Heat transfer investigation of laminar developing flow of nanofluids in a microchannel based on Eulerian–Lagrangian approach
Mostafa Mirzaei, Majid Saffar‐Avval, Hamid Naderan
https://doi.org/10.1002/cjce.21962
Journal:  The Canadian Journal of Chemical Engineering Volume 92, Issue 6 (2014), p. 1139
Hybrid MPI/Open-MP acceleration approach for high-order schemes for CFD
Michal Saczek, Karol Wawrzak, Artur Tyliszczak, Andrzej Boguslawski
https://doi.org/10.1088/1742-6596/1101/1/012031
Journal:  Journal of Physics: Conference Series Volume 1101 (2018), p. 012031
Influence of Lateral Constraints on Wave Propagation in Finite Granular Crystals
Hrachya Kocharyan, Nikhil Karanjgaokar
https://doi.org/10.1115/1.4047004
Journal:  Journal of Applied Mechanics Volume 87, Issue 7 (2020)
Investigation of adequacy of multi-sphere approximation of elliptical particles for DEM simulations
D. Markauskas, R. Kačianauskas, A. Džiugys, R. Navakas
https://doi.org/10.1007/s10035-009-0158-y
Journal:  Granular Matter Volume 12, Issue 1 (2010), p. 107
Large-scale dynamic and static simulations of complex-shaped granular materials using parallel three-dimensional discrete element method (DEM) on DoD supercomputers
Beichuan Yan, Richard Regueiro
https://doi.org/10.1108/EC-10-2017-0375
Journal:  Engineering Computations Volume 35, Issue 2 (2018), p. 1049
Numerical Simulation of the Emergency Brake Process in Granular Material Transportation Using DEM: Effect of the Liquid Bridge
Chunhai Ke, Hao Zhang, Xiaoqiang Yue, Chunsheng Feng, Shi Shu, Yuanqiang Tan
https://doi.org/10.1016/j.proeng.2015.01.318
Journal:  Procedia Engineering Volume 102 (2015), p. 1811
Parallel algorithms for CFD–DEM modeling of dense particulate flows
C.L. Wu, Oladapo Ayeni, A.S. Berrouk, K. Nandakumar
https://doi.org/10.1016/j.ces.2014.07.043
Journal:  Chemical Engineering Science Volume 118 (2014), p. 221
Parallel discrete element simulation of poly-dispersed granular material
Rimantas Kačianauskas, Algirdas Maknickas, Arnas Kačeniauskas, Darius Markauskas, Robertas Balevičius
https://doi.org/10.1016/j.advengsoft.2008.12.004
Journal:  Advances in Engineering Software Volume 41, Issue 1 (2010), p. 52
Parallel implementation of LS-DEM with hybrid MPI+OpenMP
Peng Tan, Nicholas Sitar
https://doi.org/10.1016/j.compgeo.2024.106408
Journal:  Computers and Geotechnics Volume 172 (2024), p. 106408
Parallel multilayer particle collision detection method based on performance estimation
Shubo Chen, Kejing He, Lingcong You, Funan Lin
https://doi.org/10.1007/s10586-017-1141-8
Journal:  Cluster Computing Volume 21, Issue 2 (2018), p. 1301
Parallel-vector algorithms for particle simulations on shared-memory multiprocessors
Daisuke Nishiura, Hide Sakaguchi
https://doi.org/10.1016/j.jcp.2010.11.040
Journal:  Journal of Computational Physics Volume 230, Issue 5 (2011), p. 1923
Parallelization of a Lagrangian–Eulerian DEM/CFD code for application to fluidized beds
D.K. Kafui, S. Johnson, C. Thornton, J.P.K. Seville
https://doi.org/10.1016/j.powtec.2010.11.008
Journal:  Powder Technology Volume 207, Issue 1-3 (2011), p. 270
Parallelization of a stochastic Euler-Lagrange model applied to large scale dense bubbly flows
S. Kamath, M.V. Masterov, J.T. Padding, K.A. Buist, M.W. Baltussen, J.A.M. Kuipers
https://doi.org/10.1016/j.jcpx.2020.100058
Journal:  Journal of Computational Physics: X Volume 8 (2020), p. 100058
Parallelization of the distinct lattice spring model
Gao‐Feng Zhao, Jiannong Fang, Liang Sun, Jian Zhao
https://doi.org/10.1002/nag.1085
Journal:  International Journal for Numerical and Analytical Methods in Geomechanics Volume 37, Issue 1 (2013), p. 51
Random trilobe packing using rigid body approach and local Gas-Liquid hydrodynamics simulation through CFD with experimental validation
Binbin Qi, Sebastián Uribe, Omar Farid, Muthanna Al-Dahhan
https://doi.org/10.1016/j.cej.2021.134481
Journal:  Chemical Engineering Journal Volume 435 (2022), p. 134481
Realizing fragment spawning and fragment growth in the parallelized Discrete Element Method (DEM) during modelling of comminution
Stefanie Bußmann, Harald Kruggel-Emden, Mathis Reichert
https://doi.org/10.1016/j.apt.2021.04.033
Journal:  Advanced Powder Technology Volume 32, Issue 7 (2021), p. 2171
Simulation of Normal Impact of Ultrafine Silica Particle on Substrate
Raimondas Jasevičius, Jürgen Tomas, Rimantas Kačianauskas
https://doi.org/10.1080/02726351.2010.511662
Journal:  Particulate Science and Technology Volume 29, Issue 2 (2011), p. 107
Superlinear speedup phenomenon in parallel 3D Discrete Element Method (DEM) simulations of complex-shaped particles
Beichuan Yan, Richard A. Regueiro
https://doi.org/10.1016/j.parco.2018.03.007
Journal:  Parallel Computing Volume 75 (2018), p. 61
The comparison of two domain repartitioning methods used for parallel discrete element computations of the hopper discharge
Darius Markauskas, Arnas Kačeniauskas
https://doi.org/10.1016/j.advengsoft.2014.12.002
Journal:  Advances in Engineering Software Volume 84 (2015), p. 68
Three‐dimensional discrete element method parallel computation of Cauchy stress distribution over granular materials
Beichuan Yan, Richard A. Regueiro
https://doi.org/10.1002/nag.2917
Journal:  International Journal for Numerical and Analytical Methods in Geomechanics Volume 43, Issue 5 (2019), p. 974
ppohDEM: Computational performance for open source code of the discrete element method
Daisuke Nishiura, Miki Y. Matsuo, Hide Sakaguchi
https://doi.org/10.1016/j.cpc.2014.02.014
Journal:  Computer Physics Communications Volume 185, Issue 5 (2014), p. 1486


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