Analysis of parallel spatial partitioning algorithms for GPU based DEM

Traction chain networks: Insights beyond force chain networks for non-spherical particle systems

“…Govender is the primary developer of BlazeDEM-GPU, and continually extending the software's capabilities to expand application domains [23,24,25]. Development contributions to BlazeDEM-GPU include the extension of the broad-phase grid-based spatial partitioning to the boundaryvolume hierarchy (BVH) by Lubbe et al [26,27]. BlazeDEM-GPU, initially considered penetration distance to resolve particle-particle contact [20,21,28,19].…”

Bayesian calibration of GPU–based DEM meso-mechanics Part I: Parallelization of RVEs

“…Particles may be represented by different geometries [20] which can influence the bulk properties such as shear strength and angle of repose [21]. However, resolving contact for particles with detailed geometry requires complex and computationally demanding algorithms [22,23]. This study uses spherical particles and artificially introduces a grain roughness by using the Moment Rotation Law (MRL).…”

“…This is achieved by modifying existing collision detection algorithms and by ensuring all particles are within the same reference frame (global coordinates). This study modifies the GPU-based Uniform Grid [41,2] and BVH [42,23] collision detection algorithms. The Uniform Grid is more efficient for monodisperse simulations and compact simulation domains while the BVH is more efficient for highly polydisperse simulations and sparse domains [23].…”

Stabilizing role of coarse grains in cohesionless overfilled binary mixtures: A DEM investigation

“…They are widely encountered in geotechnical engineering, such as the rock-soil mixtures in natural slopes (Wang et al, 2021;Yang et al, 2020), gravel-sand mixtures in dam filling (Nie et al, 2022), waste rocks and tailings from mining (Jehring and Bareither, 2016;Wickland et al, 2006). Fine-grain content is a key factor affecting the behavior of binary mixtures (Thevanayagam and Mohan, 2000;Vallejo, 2001;Yang and Liu, 2016;Gong et al, 2019;Wang et al, 2019;Ahmadi et al, 2020;Lubbe et al, 2020;Shi et al, 2020;Yilmaz et al, 2021, Sufian et al 2021Reddy et al, 2022).…”