### Abstract

Original language | English |
---|---|

Pages (from-to) | 147-161 |

Number of pages | 15 |

Journal | Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics |

Volume | 171 |

Issue number | 4 |

Early online date | 30 Oct 2018 |

DOIs | |

Publication status | Published - Dec 2018 |

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### Keywords

- Geotechnical engineering
- Granular materials
- Computational mechanics
- Models (physical)
- DEM

### Cite this

*Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics*,

*171*(4), 147-161. https://doi.org/10.1680/jencm.18.00025

}

*Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics*, vol. 171, no. 4, pp. 147-161. https://doi.org/10.1680/jencm.18.00025

**Numerical techniques for fast generation of large discrete-element models.** / Ciantia, Matteo (Lead / Corresponding author); Boschi, Katia; Shire, Thomas ; Emam, Sacha.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Numerical techniques for fast generation of large discrete-element models

AU - Ciantia, Matteo

AU - Boschi, Katia

AU - Shire, Thomas

AU - Emam, Sacha

PY - 2018/12

Y1 - 2018/12

N2 - In recent years, civil engineers have started to use discrete-element modelling to simulate large-scale soil volumes thanks to technological improvements in both hardware and software. However, existing procedures to prepare ‘representative elementary volumes’ are unsatisfactory in terms of computational cost and sample homogeneity. In this work, a simple but efficient procedure to initialise large-scale discrete-element models is presented. Periodic cells are first generated with a sufficient number of particles (enough to consider the cell a representative elementary volume) matching the desired particle size distribution and equilibrated at the desired stress state, porosity and coordination number. When the cell is in equilibrium, it is replicated in space to fill the problem domain. And when the model is filled, only a small number of mechanical cycles is needed to equilibrate a large domain. The result is an equilibrated homogeneous sample at the desired initial state in a large volume

AB - In recent years, civil engineers have started to use discrete-element modelling to simulate large-scale soil volumes thanks to technological improvements in both hardware and software. However, existing procedures to prepare ‘representative elementary volumes’ are unsatisfactory in terms of computational cost and sample homogeneity. In this work, a simple but efficient procedure to initialise large-scale discrete-element models is presented. Periodic cells are first generated with a sufficient number of particles (enough to consider the cell a representative elementary volume) matching the desired particle size distribution and equilibrated at the desired stress state, porosity and coordination number. When the cell is in equilibrium, it is replicated in space to fill the problem domain. And when the model is filled, only a small number of mechanical cycles is needed to equilibrate a large domain. The result is an equilibrated homogeneous sample at the desired initial state in a large volume

KW - Geotechnical engineering

KW - Granular materials

KW - Computational mechanics

KW - Models (physical)

KW - DEM

U2 - 10.1680/jencm.18.00025

DO - 10.1680/jencm.18.00025

M3 - Article

VL - 171

SP - 147

EP - 161

JO - Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics

JF - Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics

SN - 1755-0777

IS - 4

ER -