Numerical techniques for fast generation of large discrete-element models

Matteo Ciantia (Lead / Corresponding author), Katia Boschi, Thomas Shire, Sacha Emam

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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
Original languageEnglish
Pages (from-to)147-161
Number of pages15
JournalProceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics
Volume171
Issue number4
Early online date30 Oct 2018
DOIs
Publication statusPublished - Dec 2018

Fingerprint

Particle size analysis
Porosity
Hardware
Soils
Engineers
Costs

Keywords

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

Cite this

@article{f44e9627dd1c4b7daee6e67d8dffde27,
title = "Numerical techniques for fast generation of large discrete-element models",
abstract = "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",
keywords = "Geotechnical engineering, Granular materials, Computational mechanics, Models (physical), DEM",
author = "Matteo Ciantia and Katia Boschi and Thomas Shire and Sacha Emam",
year = "2018",
month = "12",
doi = "10.1680/jencm.18.00025",
language = "English",
volume = "171",
pages = "147--161",
journal = "Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics",
issn = "1755-0777",
publisher = "Thomas Telford",
number = "4",

}

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

In: Proceedings of the Institution of Civil Engineers: Engineering and Computational Mechanics, Vol. 171, No. 4, 12.2018, p. 147-161.

Research output: Contribution to journalArticle

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 -