Fast computations of granular flows by the discrete element method

Pacevič, Ruslan; Kačeniauskas, Arnas; Barauskas, Rimantas

Use this url to cite publication: https://hdl.handle.net/20.500.14911/118777

Fast computations of granular flows by the discrete element method

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Author	Affiliation
Pacevič, Ruslan	Kauno technologijos universitetas	Grafinių sistemų katedra / Department of Graphical Systems (1048)
Kačeniauskas, Arnas	Grafinių sistemų katedra / Department of Graphical Systems (1048)
Barauskas, Rimantas	Kauno technologijos universitetas

Title

Fast computations of granular flows by the discrete element method

[en]

Ruslan Pacevič, Arnas Kačeniauskas, Rimantas Barauskas

Is part of

Mechanika 2018: proceedings of the 23rd international scientific conference, 18 May 2018, Kaunas University of Technology, Lithuania / Kaunas University of Technology, Lithuanian Academy of Science, IFTOMM National Committee of Lithuania, Baltic Association of Mechanical Engineering

Published In

Year	Start Page	End Page
2018	126	130

Publisher

Kaunas : Kaunas university of technology

Extent

p. 126-130

URI

URI
https://hdl.handle.net/20.500.14911/118777

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Keywords (en)

Abstract (en)

The paper presents novel GPGPU algorithm for fast DEM computations of granular flows. Modern implementation of the uniform grid method for collision detection significantly speed-ups DEM computations on GPU. The performance of the developed code is evaluated solving applications of gravity packing and hopper discharge. The performance measured on GPU is compared with that attained on CPU for different numbers of particles. The gravity packing of particles is simulated to test the robustness of the developed algorithms in terms of numerical stability. Kinetic energy of particle system decreases due to friction reaching quasi-static conditions. Granular hopper flows are examined computing the discharge rate.