Cited by 17,527Geotechnical Engineering and Soil MechanicsGranular flow and fluidized bedsRock Mechanics and Modeling

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A discrete numerical model for granular assemblies

Cundall, P. A., Strack, O. D. L.·1979·Géotechnique

DOI 10.1680/geot.1979.29.1.47

Open this paper in CoChat — free account

Abstract

The distinct element method is a numerical model capable of describing the mechanical behaviour of assemblies of discs and spheres. The method is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the particles modelled particle by particle. The main features of the distinct element method are described. The method is validated by comparing force vector plots obtained from the computer program BALL with the corresponding plots obtained from a photoelastic analysis. The photoelastic analysis used for the comparison is the one applied to an assembly of discs by De Josselin de Jong and Verruijt (1969). The force vector diagrams obtained numerically closely resemble those obtained photoelastically. It is concluded from this comparison that the distinct element method and the program BALL are valid tools for research into the behaviour of granular assemblies. La méthode des éléments distincts est un modèle numérique capable de décrire le comportement mécanique de l'assemblage de disques et de sphères. La méthode est basée sur l'utilisation d'un système numérique explicite dans lequel l'interaction des particules est contrôlée contact par contact et le mouvement des particules simulé particule par particule. Les caracteristiques principales de la méthode des eléments distints sont décrites. La méthode est validée en comparant les tracés de vecteur de force obtenus par le programme sur ordicate…

Integrity signals

Registry

Crossref · 10.1680/geot.1979.29.1.47

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Elastic Spheres in Contact Under Varying Oblique Forces
Mindlin, R. D., & Deresiewicz, H. (1953) · Journal of Applied Mechanics · doi:10.1115/1.4010702 · Cited by 2,802
A computer model for simulating progressive, large scale movement in blocky rock systems
Cundall, P. A. (1971) · Cited by 2,019
Self-citation
Photoelastic verification of a mechanical model for the flow of a granular material
Drescher, A., & de Jong, G. D. J. (1972) · Journal of the Mechanics and Physics of Solids · doi:10.1016/0022-5096(72)90029-4 · Cited by 600
Physical and numerical experiments with granular wedges
Trollope, D. H., & Burman, B. C. (1980) · Géotechnique · doi:10.1680/geot.1980.30.2.137 · Cited by 47
Surface-Roughness Effects in Rolling Contact
Nayak, P. (1972) · Journal of Applied Mechanics · doi:10.1115/1.3422700 · Cited by 12

Show all 5 references

Sorted by citations

Items 501–600 of 1,005

DEM study of fabric features governing undrained post-liquefaction shear deformation of sand
Wang, R., Fu, P., Zhang, J., & Dafalias, Y. F. (2016) · Acta Geotechnica · doi:10.1007/s11440-016-0499-8 · Cited by 163
Application of transparent soil model test and DEM simulation in study of tunnel failure mechanism
Xiang, Y., Liu, H., Zhang, W., Chu, J., Zhou, D., & Xiao, Y. (2018) · Tunnelling and Underground Space Technology · doi:10.1016/j.tust.2018.01.020 · Cited by 163
Discrete element modelling of drying shrinkage and cracking of soils
Péron, H., Delenne, J., Laloui, L., & Youssoufi, M. S. E. (2008) · Computers and Geotechnics · doi:10.1016/j.compgeo.2008.04.002 · Cited by 162
Cohesive effects in powder mixing in a tumbling blender
Chaudhuri, B., Mehrotra, A., Muzzio, F. J., & Tomassone, M. S. (2006) · Powder Technology · doi:10.1016/j.powtec.2006.04.001 · Cited by 162
Failure of masonry arches under impulse base motion
Lorenzis, L. D., DeJong, M. J., & Ochsendorf, J. (2007) · Earthquake Engineering & Structural Dynamics · doi:10.1002/eqe.719 · Cited by 162
Quasi-three-dimensional physical model tests on a cavern complex under high in-situ stresses
Weishen, Z., Li, Y., Shu-cai, L., Shugang, W., & Qianbing, Z. (2010) · International Journal of Rock Mechanics and Mining Sciences · doi:10.1016/j.ijrmms.2010.11.008 · Cited by 161
Simulation of multi-axial compaction of granular media from loose to high relative densities
Procopio, A. T., & Zavaliangos, A. (2005) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2005.02.007 · Cited by 161
The influence of particle shape on flow modes in pneumatic conveying
Hilton, J. E., & Cleary, P. W. (2010) · Chemical Engineering Science · doi:10.1016/j.ces.2010.09.034 · Cited by 161
A review of brittle compressional wedge models
Buiter, S. (2011) · Tectonophysics · doi:10.1016/j.tecto.2011.12.018 · Cited by 167
Discrete element modelling of large scale particle systems—I: exact scaling laws
Feng, Y. T., & Owen, D. R. J. (2014) · Computational Particle Mechanics · doi:10.1007/s40571-014-0010-y · Cited by 161
Generation of a realistic 3D sand assembly using X‐ray micro‐computed tomography and spherical harmonic‐based principal component analysis
Zhou, B., & Wang, J. (2016) · International Journal for Numerical and Analytical Methods in Geomechanics · doi:10.1002/nag.2548 · Cited by 161
Lattice Element Models and Their Peculiarities
Nikolić, M., Karavelić, E., Ibrahimbegović, A., & Miščević, P. (2017) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-017-9210-y · Cited by 161
On fluid–particle dynamics in fully developed cluster-induced turbulence
Capecelatro, J., Desjardins, O., & Fox, R. O. (2015) · Journal of Fluid Mechanics · doi:10.1017/jfm.2015.459 · Cited by 161
A review of particle damping modeling and testing
Gagnon, L., Morandini, M., & Ghiringhelli, G. L. (2019) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2019.114865 · Cited by 161
Heat transfer modelling in Discrete Element Method (DEM)-based simulations of thermal processes: Theory and model development
Peng, Z., Doroodchi, E., & Moghtaderi, B. (2020) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2020.100847 · Cited by 161
Steady particulate flows in a horizontal rotating cylinder
Yamane, K., Nakagawa, M., Altobelli, S. A., Tanaka, T., & Tsuji, Y. (1998) · Physics of Fluids · doi:10.1063/1.869858 · Cited by 161
Rapid, Long-Distance Dispersal by Pumice Rafting
Bryan, S. E., Cook, A. G., Evans, J. P., Hebden, K., Hurrey, L., Colls, P., Jell, J. S., Weatherley, D., & Firn, J. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040583 · Cited by 160
Response of granular media to rapid penetration
Omidvar, M., Iskander, M. G., & Bless, S. (2013) · International Journal of Impact Engineering · doi:10.1016/j.ijimpeng.2013.12.004 · Cited by 160
Comparison of CFD–DEM heat transfer simulations with infrared/visual measurements
Patil, A. V., Peters, E. A. J. F., & Kuipers, J. A. M. (2015) · Chemical Engineering Journal · doi:10.1016/j.cej.2015.04.131 · Cited by 160
Effect of sample size on the response of DEM samples with a realistic grading
Huang, X. M., Hanley, K. J., O’Sullivan, C., & Kwok, F. C. Y. (2013) · Particuology · doi:10.1016/j.partic.2013.07.006 · Cited by 160
Comparison between controlled laboratory experiments and discrete particle simulations of the mechanical behaviour of rock
Holt, R. M., Kjølaas, J., Larsen, I., Li, L. Q., Pillitteri, A. G., & Sønstebø, E. F. (2005) · International Journal of Rock Mechanics and Mining Sciences · doi:10.1016/j.ijrmms.2005.05.006 · Cited by 160
A coupled SPH-DEM model for fluid-structure interaction problems with free-surface flow and structural failure
Wu, K., Yang, D., & Wright, N. (2016) · Computers & Structures · doi:10.1016/j.compstruc.2016.08.012 · Cited by 160
Experimental and numerical investigation of brittle sandstone specimens containing different shapes of holes under uniaxial compression
Zeng, W., Yang, S., & Tian, W. (2018) · Engineering Fracture Mechanics · doi:10.1016/j.engfracmech.2018.08.016 · Cited by 160
Assessing the quasi-static conditions for shearing in granular media within the critical state soil mechanics framework
Perez, J. C. L., Kwok, C. Y., O’Sullivan, C., Huang, X. M., & Hanley, K. J. (2016) · SOILS AND FOUNDATIONS · doi:10.1016/j.sandf.2016.01.013 · Cited by 159
Discrete element modeling of crushable sands considering realistic particle shape effect
Fu, R., Hu, X., & Zhou, B. (2017) · Computers and Geotechnics · doi:10.1016/j.compgeo.2017.07.016 · Cited by 159
Numerical simulation of particulate flow with liquid bridge between particles (simulation of centrifugal tumbling granulator)
Muguruma, Y., Tanaka, T., & Tsuji, Y. (2000) · Powder Technology · doi:10.1016/s0032-5910(99)00226-0 · Cited by 159
A study on the influence of particle shape and shape approximation on particle mechanics in a rotating drum using the discrete element method
Höhner, D., Wirtz, S., & Scherer, V. (2013) · Powder Technology · doi:10.1016/j.powtec.2013.11.023 · Cited by 158
The inter-particle coefficient of friction at the contacts of Leighton Buzzard sand quartz minerals
Senetakis, K., Coop, M. R., & Todisco, M. C. (2013) · SOILS AND FOUNDATIONS · doi:10.1016/j.sandf.2013.08.012 · Cited by 158
Discrete element modelling of cyclic loads of geogrid-reinforced ballast under confined and unconfined conditions
Chen, C., McDowell, G. R., & Thom, N. H. (2012) · Geotextiles and Geomembranes · doi:10.1016/j.geotexmem.2012.07.004 · Cited by 158
Experimental and numerical study of fluidization and pressure drop of spherical and non-spherical particles in a model scale fluidized bed
Vollmari, K., Jasevičius, R., & Kruggel‐Emden, H. (2015) · Powder Technology · doi:10.1016/j.powtec.2015.11.045 · Cited by 158
Generation of realistic sand particles with fractal nature using an improved spherical harmonic analysis
Wei, D., Wang, J., Nie, J., & Zhou, B. (2018) · Computers and Geotechnics · doi:10.1016/j.compgeo.2018.08.002 · Cited by 158
Mechanical responses and failure mechanism of hydrostatically pressurized rocks under combined compression-shear impacting
Du, H., Dai, F., Xu, Y., Yan, Z., & Wei, M. (2019) · International Journal of Mechanical Sciences · doi:10.1016/j.ijmecsci.2019.105219 · Cited by 158
DynamO: a free ${\cal O}$(N) general event‐driven molecular dynamics simulator
Bannerman, M. N., Sargant, R., & Lue, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21915 · Cited by 157
A numerical study of granular shear flows of rod-like particles using the discrete element method
Guo, Y., Wassgren, C. R., Ketterhagen, W. R., Hancock, B. C., James, B., & Curtis, J. S. (2012) · Journal of Fluid Mechanics · doi:10.1017/jfm.2012.423 · Cited by 157
Particle breakage during cyclic triaxial loading of a carbonate sand
Donohue, S., O’Sullivan, C., & Long, M. (2009) · Géotechnique · doi:10.1680/geot.2008.t.003 · Cited by 157
Controls on rock weathering rates by reaction-induced hierarchical fracturing
Røyne, A., Jamtveit, B., Mathiesen, J., & Malthe‐Sørenssen, A. (2008) · Earth and Planetary Science Letters · doi:10.1016/j.epsl.2008.08.035 · Cited by 157
Numerical investigation of the angle of repose of monosized spheres
Zhou, Y. C., Xu, B. H., Yu, A., & Zulli, P. (2001) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.64.021301 · Cited by 157
MODELING OF PARTICLE SIZE SEGREGATION: CALIBRATION USING THE DISCRETE PARTICLE METHOD
Thornton, A. R., Weinhart, T., Luding, S., & Bokhove, O. (2012) · International Journal of Modern Physics C · doi:10.1142/s0129183112400141 · Cited by 157
Discrete‐element modelling of extensional fault‐propagation folding above rigid basement fault blocks
Finch, E., Hardy, S., & Gawthorpe, R. L. (2004) · Basin Research · doi:10.1111/j.1365-2117.2004.00241.x · Cited by 157
Discrete element simulations of direct shear tests with particle angularity effect
Zhao, S., Zhou, X., & Liu, W. (2015) · Granular Matter · doi:10.1007/s10035-015-0593-x · Cited by 156
Fracture development around deep underground excavations: Insights from FDEM modelling
Lisjak, A., Figi, D., & Grasselli, G. (2014) · Journal of Rock Mechanics and Geotechnical Engineering · doi:10.1016/j.jrmge.2014.09.003 · Cited by 156
Experimental and numerical investigation on the influence of particle shape and shape approximation on hopper discharge using the discrete element method
Höhner, D., Wirtz, S., & Scherer, V. (2012) · Powder Technology · doi:10.1016/j.powtec.2012.11.004 · Cited by 156
Simulation of wheel tracking test for asphalt mixture using discrete element modelling
Ma, T., Zhang, D., Zhang, Y., Wang, S., & Huang, X. (2016) · Road Materials and Pavement Design · doi:10.1080/14680629.2016.1261725 · Cited by 156
Diffusion-based coarse graining in hybrid continuum–discrete solvers: Theoretical formulation and a priori tests
Sun, R., & Xiao, H. (2015) · International Journal of Multiphase Flow · doi:10.1016/j.ijmultiphaseflow.2015.08.014 · Cited by 156
Averaging method of granular materials
Zhu, H., & Yu, A. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.66.021302 · Cited by 156
Numerical Investigation of Dynamic Rock Fracture Toughness Determination Using a Semi-Circular Bend Specimen in Split Hopkinson Pressure Bar Testing
Xu, Y., Dai, F., Xu, N., & Zhao, T. (2015) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-015-0787-x · Cited by 155
Discrete element modeling of metallic powder sintering
Martin, C. L., Schneider, L. C. R., Olmos, L., & Bouvard, D. (2006) · Scripta Materialia · doi:10.1016/j.scriptamat.2006.05.017 · Cited by 155
Numerical and experimental study on multiple-spout fluidized beds
van Buijtenen, M. S., van Dijk, W.-J., Deen, N. G., Kuipers, J. A. M., Leadbeater, T. W., & Parker, D. J. (2011) · Chemical Engineering Science · doi:10.1016/j.ces.2011.02.055 · Cited by 155
A kinematic model of the Hsiaolin landslide calibrated to the morphology of the landslide deposit
Lo, C.-M., Lin, M.-L., Tang, C.-L., & Hu, J. (2011) · Engineering Geology · doi:10.1016/j.enggeo.2011.07.002 · Cited by 155
Granular element method for computational particle mechanics
Andrade, J. E., Lim, K., Avila, C. F., & Vlahinić, I. (2012) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2012.06.012 · Cited by 155
A CT image-driven computational framework for investigating complex 3D fracture in mesoscale concrete
Huang, Y., Natarajan, S., Zhang, H., Guo, F.-Q., Xu, S., Zeng, C., & Zheng, Z. (2023) · Cement and Concrete Composites · doi:10.1016/j.cemconcomp.2023.105270 · Cited by 155
Mixing characteristics of wet granular matter in a bladed mixer
Radl, S., Kalvoda, E., Glasser, B. J., & Khinast, J. (2010) · Powder Technology · doi:10.1016/j.powtec.2010.02.022 · Cited by 155
DEM simulation of particle damping
Mao, K., Wang, M. Y., Xu, Z., & Chen, T. (2004) · Powder Technology · doi:10.1016/j.powtec.2004.04.031 · Cited by 155
Modelling ballast behaviour under dynamic loading. Part 1: A 2D polygonal discrete element method approach
Saussine, G., Cholet, C., Gautier, P.-É., Dubois, F., Bohatier, C., & Moreau, J. J. (2005) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2005.07.006 · Cited by 155
Numerical simulations of agglomerate impact breakage
Thornton, C., Ciomocos, M. T., & Adams, M. J. (1999) · Powder Technology · doi:10.1016/s0032-5910(99)00120-5 · Cited by 155
Numerical study of the effects of particle shape and polydispersity on permeability
García, X., Akanji, L. T., Blunt, M. J., Matthai, S. K., & Latham, J. P. (2009) · Physical Review E · doi:10.1103/physreve.80.021304 · Cited by 154
Bond rolling resistance and its effect on yielding of bonded granulates by DEM analyses
Jiang, M., Yu, H., & Harris, D. (2006) · International Journal for Numerical and Analytical Methods in Geomechanics · doi:10.1002/nag.498 · Cited by 154
Fragmentation processes in impact of spheres
Carmona, H. A., Wittel, F. K., Kun, F., & Herrmann, H. J. (2008) · Physical Review E · doi:10.1103/physreve.77.051302 · Cited by 154
Emergence of agent swarm migration and vortex formation through inelastic collisions
Grossman, D., Aranson, I. S., & Jacob, E. B. (2008) · New Journal of Physics · doi:10.1088/1367-2630/10/2/023036 · Cited by 154
Powder Bed Layer Characteristics: The Overseen First-Order Process Input
Mindt, H.-W., Megahed, M., Lavery, N., Holmes, M. A., & Brown, S. G. R. (2016) · Metallurgical and Materials Transactions A · doi:10.1007/s11661-016-3470-2 · Cited by 154
FDEM-flow3D: A 3D hydro-mechanical coupled model considering the pore seepage of rock matrix for simulating three-dimensional hydraulic fracturing
Yan, C., & Zheng, H. (2016) · Computers and Geotechnics · doi:10.1016/j.compgeo.2016.08.014 · Cited by 154
Investigating the effect of flow direction on suffusion and its impacts on gap-graded granular soils
Xiong, H., Yin, Z., Zhao, J., & Yang, Y. (2020) · Acta Geotechnica · doi:10.1007/s11440-020-01012-9 · Cited by 154
Insight into shear strength functions of unsaturated granulates by DEM analyses
Jiang, M., Leroueil, S., & Konrad, J. ‐. (2004) · Computers and Geotechnics · doi:10.1016/j.compgeo.2004.07.001 · Cited by 154
Discrete element methods
Zienkiewicz, O. C., Taylor, R. L., III, & Zhu, J. (2005) · Elsevier eBooks · doi:10.1016/b978-075066431-8.50196-x · Cited by 153
Granular materials composed of shape-anisotropic grains
Börzsönyi, T., & Stannarius, R. (2013) · Soft Matter · doi:10.1039/c3sm50298h · Cited by 153
Discrete modeling of granular soils reinforcement by plant roots
Bourrier, F., Kneib, F., Chareyre, B., & Fourcaud, T. (2013) · Ecological Engineering · doi:10.1016/j.ecoleng.2013.05.002 · Cited by 153
A new contact model to improve the simulated ratio of unconfined compressive strength to tensile strength in bonded particle models
Ding, X., & Zhang, L. (2014) · International Journal of Rock Mechanics and Mining Sciences · doi:10.1016/j.ijrmms.2014.03.008 · Cited by 153
Microstructural Interpretation on Reliquefaction of Saturated Granular Soils under Cyclic Loading
Oda, M., Kawamoto, K., Suzuki, K., Fujimori, H., & Sato, M. (2001) · Journal of Geotechnical and Geoenvironmental Engineering · doi:10.1061/(asce)1090-0241(2001)127:5(416 · Cited by 153
Discrete mechanical models of concrete fracture
Bolander, J. E., Eliáš, J., Gianluca Cusatis, A., & Nagai, K. (2021) · Engineering Fracture Mechanics · doi:10.1016/j.engfracmech.2021.108030 · Cited by 153
Determining the angle of repose of sand under low-gravity conditions using discrete element method
Nakashima, H., Shioji, Y., Kobayashi, T. R., Aoki, S., Shimizu, H., Miyasaka, J., & Ohdoi, K. (2010) · Journal of Terramechanics · doi:10.1016/j.jterra.2010.09.002 · Cited by 153
Effect of the impact angle on the breakage of agglomerates: a numerical study using DEM
Moreno-Atanasio, R., Ghadiri, M., & Antony, S. J. (2003) · Powder Technology · doi:10.1016/s0032-5910(02)00256-5 · Cited by 153
Pore-Scale Modeling of Viscous Flow and Induced Forces in Dense Sphere Packings
Chareyre, B., Cortis, A., Catalano, E., & Barthélemy, É. (2012) · Transport in Porous Media · doi:10.1007/s11242-012-0057-2 · Cited by 152
Dissipative properties of vibrated granular materials
Salueña, C., Pöschel, T., & Esipov, S. E. (1999) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.59.4422 · Cited by 152
Analysis of stress redistribution in soil and earth pressure on tunnel lining using the discrete element method
Jiang, M., & Yin, Z. (2012) · Tunnelling and Underground Space Technology · doi:10.1016/j.tust.2012.06.001 · Cited by 152
Modelling size segregation of granular materials: the roles of segregation, advection and diffusion
Fan, Y., Schlick, C. P., Umbanhowar, P. B., Ottino, J. M., & Lueptow, R. M. (2014) · Journal of Fluid Mechanics · doi:10.1017/jfm.2013.680 · Cited by 157
Population balance modeling of non-linear effects in milling processes
Bilgili, E. A., & Scarlett, B. F. (2005) · Powder Technology · doi:10.1016/j.powtec.2005.02.005 · Cited by 152
DEM simulation of impact force exerted by granular flow on rigid structures
Teufelsbauer, H., Wang, Y., Pudasaini, S. P., Borja, R. I., & Wu, W. (2011) · Acta Geotechnica · doi:10.1007/s11440-011-0140-9 · Cited by 151
Shear deformation and strength of the interphase between the soil–rock mixture and the benched bedrock slope surface
Cen, D., Huang, D. Y., & Ren, F. Y. (2016) · Acta Geotechnica · doi:10.1007/s11440-016-0468-2 · Cited by 151
Aggregate shape effect on the diffusivity of mortar: A 3D numerical investigation by random packing models of ellipsoidal particles and of convex polyhedral particles
Liu, L., Shen, D., Chen, H., & Xu, W. (2014) · Computers & Structures · doi:10.1016/j.compstruc.2014.07.022 · Cited by 151
A review on finite element method for machining of composite materials
Shetty, N., Shahabaz, S. M., Sharma, S., & Shetty, S. D. (2017) · Composite Structures · doi:10.1016/j.compstruct.2017.06.012 · Cited by 151
DEM study of mechanical characteristics of multi-spherical and superquadric particles at micro and macro scales
Soltanbeigi, B., Podlozhnyuk, A., Papanicolopulos, S., Kloss, C., Pirker, S., & Ooi, J. Y. (2018) · Powder Technology · doi:10.1016/j.powtec.2018.01.082 · Cited by 151
A numerical study of fluidization behavior of Geldart A particles using a discrete particle model
Ye, M., Hoef, V. D. M. M., & Kuipers, J. A. M. (2004) · Powder Technology · doi:10.1016/j.powtec.2003.10.012 · Cited by 151
Simulation of grain–straw separation by Discrete Element Modeling with bendable straw particles
Lenaerts, B., Aertsen, T., Tijskens, E., Ketelaere, B. D., Ramón, H., Baerdemaeker, J. D., & Saeys, W. (2014) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2013.12.002 · Cited by 150
From discrete particles to continuum fields near a boundary
Weinhart, T., Thornton, A. R., Luding, S., & Bokhove, O. (2012) · Granular Matter · doi:10.1007/s10035-012-0317-4 · Cited by 150
Improvements for the smooth joint contact model of the particle flow code and its applications
Mehranpour, M. H., & Kulatilake, P. H. S. W. (2017) · Computers and Geotechnics · doi:10.1016/j.compgeo.2017.02.012 · Cited by 150
Cracking behavior of rock containing non-persistent joints with various joints inclinations
Chen, M., Yang, S., Ranjith, P. G., & Zhang, Y.-C. (2020) · Theoretical and Applied Fracture Mechanics · doi:10.1016/j.tafmec.2020.102701 · Cited by 150
Scale invariance and universality of force networks in static granular matter
Ostojic, S., Somfai, E., & Nienhuis, B. (2006) · Nature · doi:10.1038/nature04549 · Cited by 150
Collision modelling for the interface-resolved simulation of spherical particles in viscous fluids
Kempe, T., & Fröhlich, J. (2012) · Journal of Fluid Mechanics · doi:10.1017/jfm.2012.343 · Cited by 149
Interface Element Modeling of Fracture in Aggregate Composites
Zubelewicz, A., & Bažant, Z. P. (1987) · Journal of Engineering Mechanics · doi:10.1061/(asce)0733-9399(1987)113:11(1619 · Cited by 149
Simulation of charge motion in ball mills. Part 1: experimental verifications
Mishra, B. K., & Rajamani, R. K. (1994) · International Journal of Mineral Processing · doi:10.1016/0301-7516(94)90042-6 · Cited by 149
Effect of particle mechanical properties on silo flow and stresses from distinct element simulations
Masson, S., & Martinez, J. (2000) · Powder Technology · doi:10.1016/s0032-5910(99)00234-x · Cited by 149
The dynamics of sand
Mehta, A., & Barker, G. C. (1994) · Reports on Progress in Physics · doi:10.1088/0034-4885/57/4/002 · Cited by 149
Numerical Simulation in Rockfall Analysis: A Close Comparison of 2-D and 3-D DDA
Chen, G., Zheng, L., Zhang, Y., & Wu, J. (2013) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-012-0360-9 · Cited by 148
Planar collapse of a granular column: Experiments and discrete element simulations
Lacaze, L., Phillips, J. C., & Kerswell, R. R. (2008) · Physics of Fluids · doi:10.1063/1.2929375 · Cited by 148
Homogeneous and bubbling fluidization regimes in DEM–CFD simulations: Hydrodynamic stability of gas and liquid fluidized beds
Renzo, A. D., & Maio, F. P. D. (2006) · Chemical Engineering Science · doi:10.1016/j.ces.2006.08.009 · Cited by 148
DEM analysis of monotonic and cyclic behaviors of sand based on critical state soil mechanics framework
Gu, X., Zhang, J., & Huang, X. M. (2020) · Computers and Geotechnics · doi:10.1016/j.compgeo.2020.103787 · Cited by 148
Numerical study of rock and concrete behaviour by discrete element modelling
Camborde, F., Mariotti, C., & Donzé, F. (2000) · Computers and Geotechnics · doi:10.1016/s0266-352x(00)00013-6 · Cited by 148
Mechanical properties of agglomerates
Bika, D., Gentzler, M., & Michaels, J. N. (2001) · Powder Technology · doi:10.1016/s0032-5910(01)00318-7 · Cited by 148
Capturing Nonspherical Shape of Granular Media with Disk Clusters
Thomas, P. A., & Bray, J. D. (1999) · Journal of Geotechnical and Geoenvironmental Engineering · doi:10.1061/(asce)1090-0241(1999)125:3(169 · Cited by 148
Discrete element modelling of contractional fault-propagation folding above rigid basement fault blocks
Finch, E., Hardy, S., & Gawthorpe, R. L. (2002) · Journal of Structural Geology · doi:10.1016/s0191-8141(02)00053-6 · Cited by 148

Authors: Cundall, P. A., & Strack, O. D. L.
Affiliations: Advanced Technology Group, Dames & Moore, London
University of Minnesota (US)
Corresponding author: Cundall, P. A.
ORCID: Strack, O. D. L.
Venue: Géotechnique
Publisher: Emerald
Published: 1979-03
Volume: 29
Issue: 1
Pages: 47-65
ISSN: 0016-8505 (ISSN-L)
1751-7656
DOI: 10.1680/geot.1979.29.1.47
OpenAlex: W2073775990
Cited by: 17,527
References: 5
Citations by year: 2026: 1097 · 2025: 1254 · 2024: 1144 · 2023: 1090 · 2022: 1035 · 2021: 1229 · 2020: 1046 · 2019: 979 · 2018: 944 · 2017: 810 · 2016: 792 · 2015: 651 · 2014: 626 · 2013: 579 · 2012: 527
FWCI: 14.60
Type: journal article
Language: en
Open access: closed
Locations: Géotechnique (publishedVersion)
Funders: National Science Foundation
Topics: Physical Sciences › Engineering › Civil and Structural Engineering › Geotechnical Engineering and Soil Mechanics
Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
Physical Sciences › Engineering › Mechanics of Materials › Rock Mechanics and Modeling
Keywords: discrete element method, granular assemblies, photoelasticity, granular mechanics, numerical validation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A discrete numerical model for granular assemblies

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks