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article · Journal of Computational Physics · 2022

A variational integrator for the Discrete Element Method

David N. de Klerk, Thomas Shire, Zhiwei Gao, Andrew McBride, Christopher J. Pearce, Paul Steinmann

Cited by 8Open access

Abstract

A novel implicit integration scheme for the Discrete Element Method (DEM) based on the variational integrator approach is presented. The numerical solver provides a fully dynamical description that, notably, reduces to an energy minimisation scheme in the quasi-static limit. A detailed derivation of the numerical method is presented for the Hookean contact model and tested against an established open source DEM package that uses the velocity-Verlet integration scheme. These tests compare results for a single collision, long-term stability and statistical quantities of ensembles of particles. Numerically, the proposed integration method demonstrates equivalent accuracy to the velocity-Verlet method.

Cite this paper

APA 7

de Klerk, D. N., Shire, T., Gao, Z., McBride, A., Pearce, C. J., & Steinmann, P. (2022). A variational integrator for the Discrete Element Method. Journal of Computational Physics, 462, 111253. https://doi.org/10.1016/j.jcp.2022.111253

MLA 9

de Klerk, David N., et al. “A variational integrator for the Discrete Element Method.” Journal of Computational Physics, vol. 462, 2022, p. 111253, https://doi.org/10.1016/j.jcp.2022.111253.

Chicago

de Klerk, David N., Thomas Shire, Zhiwei Gao, Andrew McBride, Christopher J. Pearce, and Paul Steinmann. 2022. “A variational integrator for the Discrete Element Method.” Journal of Computational Physics 462: 111253. https://doi.org/10.1016/j.jcp.2022.111253.

Harvard

de Klerk, D.N. et al. (2022) ‘A variational integrator for the Discrete Element Method’, Journal of Computational Physics, 462, p. 111253. Available at: https://doi.org/10.1016/j.jcp.2022.111253.

BibTeX
@article{deklerk2022variational,
  title = {{A variational integrator for the Discrete Element Method}},
  author = {de Klerk, David N. and Shire, Thomas and Gao, Zhiwei and McBride, Andrew and Pearce, Christopher J. and Steinmann, Paul},
  journal = {Journal of Computational Physics},
  volume = {462},
  pages = {111253},
  year = {2022},
  doi = {10.1016/j.jcp.2022.111253}
}

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