Blaze-DEMGPU: Modular high performance DEM framework for the GPU architecture

Govender, N.; Wilke, Daniel N.; Kok, Schalk

doi:10.1016/j.softx.2016.04.004

Cited by 84 publications

(38 citation statements)

References 11 publications

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“…In this study we use BlazeDEM-GPU developed by Govender et al [44] that solves Newton's equations of motion for soft particles using an explicit forward Euler time integration scheme on GPU architectures. In a BlazeDEM-GPU simulations, particles are confined by geometric boundaries that are denoted "world objects" to confine particle flow.…”

Section: Blazedem-gpu Simulation Frameworkmentioning

confidence: 99%

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Large-scale GPU based DEM modeling of mixing using irregularly shaped particles

Govender

Wilke

et al. 2018

Advanced Powder Technology

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Section: Blazedem-gpu Simulation Frameworkmentioning

confidence: 99%

“…The contact detection is followed by contact modeling in which the forces are resolved. Details on the spherical particle-particle contact models have been previously discussed [46,34]; however some of the details of the polyhedral particle-particle contact models has been updated since [34,44].…”

Section: Blazedem-gpu Simulation Frameworkmentioning

confidence: 99%

Large-scale GPU based DEM modeling of mixing using irregularly shaped particles

Govender

Wilke

et al. 2018

Advanced Powder Technology

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“…For example, Latham et al 24,25 used X-ray computed tomography (X-ray CT) to scan realistic particles and convert these particles to triangular tessellations for performing DEM simulations. Govender et al [26][27][28][29][30] developed Blaze-DEM for using triangular tessellations for simulating realistic particles, which can effectively deploy graphics processing unit (GPU) of a computer to accelerate simulations. The open-source DEM code YADE has built-in functions to use triangular tessellations for simulating realistic particles 31 .…”

Section: Introductionmentioning

confidence: 99%

Simulations of realistic granular soils in oedometer tests using physics engine

Zheng

2020

Num Anal Meth Geomechanics

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Summary Discrete element method (DEM) has become a preeminent numerical tool for investigating the mechanical behavior of granular soils. However, traditional DEM uses sphere clusters to approximate realistic particles, which is computationally demanding when simulating many particles. This paper demonstrates the potential of using a physics engine technique to simulate realistic particles. The physics engines are originally developed for video games for simulating physical and mechanical processes that occur in the real world to produce realistic game experiences. The simulation accuracy and efficiency of physics engines have been significantly improved in the last two decades allowing them to be used as a scientific tool in many disciplines. This paper introduces modeling methodologies of physics engine including realistic particle representation and the contact model. Then, oedometer tests are simulated using realistic particles scanned by X‐ray computed tomography (X‐ray CT). The simulation results agree well with experimental results. This paper demonstrates that physics engines can output contact parameters for geotechnical analysis and force chains for visualization.

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“…The drawbacks of DEM were the small computational time step, especially for submicron particles, and the ability to handle a large number of particles, which will lead to a dramatical increase in the computational expense. Nevertheless, it could be well addressed with the parallel programming technique or other speed‐up techniques …”

Section: Introductionmentioning

confidence: 99%

Migration and agglomeration of adhesive microparticle suspensions in a pressure‐driven duct flow

Liu

2020

AIChE Journal

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Transport of suspensions consisting of monodisperse adhesive microparticles in a pressuredriven duct flow with the Reynolds number in the range of 5.4-108 is analyzed by means of a coupled lattice Boltzmann method with the discrete element method. The influence of the adhesion on migration and agglomeration of particles is investigated. The results show that the suspensions undergo a transition from purely lateral focusing to completely agglomeration as the surface energy is increased. A dimensionless adhesion number, defined as the ratio of the adhesive force to the drag force, is employed to characterize the degree of agglomeration. It is found that all the particles come into agglomerates as the adhesion number reaches a critical value. Moreover, a detailed examination of size evolution and velocity illustrates that the agglomerates mainly grow spherically, and their velocities depend on the lateral positions rather than their sizes, as the Stokes number is far below one.adhesion, agglomeration, discrete element method, duct flow, lattice Boltzmann method 1 | INTRODUCTION Migration of particle suspensions in a confined channel or vessels are ubiquitous in industries and engineering, such as petroleum production, food processing, pharmaceuticals, sewage treatment, as well as microfluids in biological processes. It is first observed by Segré and Silberberg 1 that a spherical particle in a Poiseuille pipe flow migrates across the streamline and focuses at a specific equilibrium position at approximately 0.6 times the radius from the axis. From then on, much effort has been made to uncover the mechanism of this interesting phenomenon both theoretically 2-5 and experimentally. 6-11 A range of novel applications based on the inertial focusing has been developed, especially in micro channels with the rise of microfabrication, including particle filtration, separation, flow cytometry, 12-16 and so on. However, as the particle size goes down to micron or submicron scale, agglomeration is inevitable during the transport of particle suspensions due to the cohesive nature, which in turn produces numerous negative effects in industries. For example, the agglomeration of asphaltenes or gas hydrates causes pipeline blockage 17,18 in the oil and gas exploration and refining industries. Therefore, it is of great importance to gain in-depth knowledge of the agglomeration mechanism.It is generally recognized that the agglomeration is driven by the collisions of particles and the cohesive interaction. The collisions could be induced by shear flow, diffusion or Brownian motion, while the cohesive interaction may be caused by different types of forces, such as electrostatic, van der Waals, and liquid bridge. Moreover, the mechanical properties of the particles, including mass density, elastic modulus, friction coefficient, and so on also play important roles in the interparticle collision and thus can influence the agglomeration. Most of the previous studies focus on the dynamic evolution of the agglomerates, include the size evolu...

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Blaze-DEMGPU: Modular high performance DEM framework for the GPU architecture

Cited by 84 publications

References 11 publications

Large-scale GPU based DEM modeling of mixing using irregularly shaped particles

Large-scale GPU based DEM modeling of mixing using irregularly shaped particles

Simulations of realistic granular soils in oedometer tests using physics engine

Migration and agglomeration of adhesive microparticle suspensions in a pressure‐driven duct flow

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