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Warm starting the projected Gauss-Seidel algorithm for granular matter simulation
Umeå University, Faculty of Science and Technology, Department of Physics.
Umeå University, Faculty of Science and Technology, Department of Physics.
Algoryx Simulation AB.
2015 (English)Manuscript (preprint) (Other academic)
Abstract [en]

The effect on the convergence of warm start-ing the projected Gauss-Seidel solver for nonsmoothdiscrete element simulation of granular matter are in-vestigated. It is found that the computational perfor-mance can be increased by a factor 2 to 5.

Place, publisher, year, edition, pages
2015.
Keyword [en]
Discrete elements, Nonsmooth contact dynamics, Convergence, Warm starting, Projected Gauss-Seidel
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-110062OAI: oai:DiVA.org:umu-110062DiVA: diva2:860958
Note

Submitted 2015

Available from: 2015-10-14 Created: 2015-10-14 Last updated: 2015-10-20
In thesis
1. Accelerated granular matter simulation
Open this publication in new window or tab >>Accelerated granular matter simulation
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Accelererad simulering av granulära material
Abstract [en]

Modeling and simulation of granular matter has important applications in both natural science and industry. One widely used method is the discrete element method (DEM). It can be used for simulating granular matter in the gaseous, liquid as well as solid regime whereas alternative methods are in general applicable to only one. Discrete element analysis of large systems is, however, limited by long computational time. A number of solutions to radically improve the computational efficiency of DEM simulations are developed and analysed. These include treating the material as a nonsmooth dynamical system and methods for reducing the computational effort for solving the complementarity problem that arise from implicit treatment of the contact laws. This allow for large time-step integration and ultimately more and faster simulation studies or analysis of more complex systems. Acceleration methods that can reduce the computational complexity and degrees of freedom have been invented. These solutions are investigated in numerical experiments, validated using experimental data and applied for design exploration of iron ore pelletising systems.

Place, publisher, year, edition, pages
Umeå: Umeå University, 2015. 14 p.
Keyword
discrete element method, nonsmooth contact dynamics, multibody dynamics, granular media, simulation, projected Gauss-Seidel, validation, iron ore pellets, pelletising balling circuit, model reduction, design optimization
National Category
Other Physics Topics Computational Mathematics
Identifiers
urn:nbn:se:umu:diva-110164 (URN)978-91-7601-366-3 (ISBN)
Public defence
2015-11-12, Naturvetarhuset, N460, Umeå universitet, Umeå, 13:00 (English)
Opponent
Supervisors
Funder
VINNOVA, 2014-01901
Note

This work has been generously supported by Algoryx Simulation, LKAB (dnr 223-

2442-09), Umeå University and VINNOVA (2014-01901).

Available from: 2015-10-22 Created: 2015-10-15 Last updated: 2015-10-22Bibliographically approved

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Wang, DaServin, Martin
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