Automated discrete element method calibration using genetic and optimization algorithms

Huy Q. Do; Alejandro M. Aragón; Dingena L. Schott

doi:10.1051/epjconf/201714015011

Automated discrete element method calibration using genetic and optimization algorithms

Huy Q. Do, Alejandro M. Aragón, Dingena L. Schott^*

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

22 Citations (Scopus)

90 Downloads (Pure)

Abstract

This research aims at developing a universal methodology for automated calibration of microscopic properties of modelled granular materials. The proposed calibrator can be applied for different experimental set-ups. Two optimization approaches: (1) a genetic algorithm and (2) DIRECT optimization, are used to identify discrete element method input model parameters, e.g., coefficients of sliding and rolling friction. The algorithms are used to minimize the objective function characterized by the discrepancy between the experimental macroscopic properties and the associated numerical results. Two test cases highlight the robustness, stability, and reliability of the two algorithms used for automated discrete element method calibration with different set-ups.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Micromechanics on Granular Media
Subtitle of host publication	Powders and Grains 2017
Editors	F. Radjai, S. Nezamabadi, S. Luding, J.Y. Delenne
Place of Publication	Les Ulis Cedex A, France
Publisher	EDP Sciences
Number of pages	4
DOIs	https://doi.org/10.1051/epjconf/201714015011
Publication status	Published - 2017
Event	8th International Conference on Micromechanics on Granular Media: Powders and Grains 2017 - Montpellier, France Duration: 3 Jul 2017 → 7 Jul 2017

Publication series

Name	EPJ Web of Conferences
Publisher	EDP Sciences
Volume	140
ISSN (Electronic)	2100-014X

Conference

Conference	8th International Conference on Micromechanics on Granular Media
Country/Territory	France
City	Montpellier
Period	3/07/17 → 7/07/17

Access to Document

10.1051/epjconf/201714015011

epjconf162104Final published version, 266 KBLicence: CC BY

Cite this

Do, H. Q., Aragón, A. M., & Schott, D. L. (2017). Automated discrete element method calibration using genetic and optimization algorithms. In F. Radjai, S. Nezamabadi, S. Luding, & J. Y. Delenne (Eds.), Proceedings of the 8th International Conference on Micromechanics on Granular Media : Powders and Grains 2017 Article 15011 (EPJ Web of Conferences; Vol. 140). EDP Sciences. https://doi.org/10.1051/epjconf/201714015011

Do, Huy Q. ; Aragón, Alejandro M. ; Schott, Dingena L. / Automated discrete element method calibration using genetic and optimization algorithms. Proceedings of the 8th International Conference on Micromechanics on Granular Media : Powders and Grains 2017. editor / F. Radjai ; S. Nezamabadi ; S. Luding ; J.Y. Delenne. Les Ulis Cedex A, France : EDP Sciences, 2017. (EPJ Web of Conferences).

@inproceedings{393c77262eb54a8ba65318f86ad31ca6,

title = "Automated discrete element method calibration using genetic and optimization algorithms",

abstract = "This research aims at developing a universal methodology for automated calibration of microscopic properties of modelled granular materials. The proposed calibrator can be applied for different experimental set-ups. Two optimization approaches: (1) a genetic algorithm and (2) DIRECT optimization, are used to identify discrete element method input model parameters, e.g., coefficients of sliding and rolling friction. The algorithms are used to minimize the objective function characterized by the discrepancy between the experimental macroscopic properties and the associated numerical results. Two test cases highlight the robustness, stability, and reliability of the two algorithms used for automated discrete element method calibration with different set-ups.",

author = "Do, {Huy Q.} and Arag{\'o}n, {Alejandro M.} and Schott, {Dingena L.}",

year = "2017",

doi = "10.1051/epjconf/201714015011",

language = "English",

series = "EPJ Web of Conferences",

publisher = "EDP Sciences",

editor = "F. Radjai and S. Nezamabadi and S. Luding and J.Y. Delenne",

booktitle = "Proceedings of the 8th International Conference on Micromechanics on Granular Media",

address = "France",

note = "8th International Conference on Micromechanics on Granular Media : Powders and Grains 2017 ; Conference date: 03-07-2017 Through 07-07-2017",

}

Do, HQ, Aragón, AM & Schott, DL 2017, Automated discrete element method calibration using genetic and optimization algorithms. in F Radjai, S Nezamabadi, S Luding & JY Delenne (eds), Proceedings of the 8th International Conference on Micromechanics on Granular Media : Powders and Grains 2017., 15011, EPJ Web of Conferences, vol. 140, EDP Sciences, Les Ulis Cedex A, France, 8th International Conference on Micromechanics on Granular Media, Montpellier, France, 3/07/17. https://doi.org/10.1051/epjconf/201714015011

Automated discrete element method calibration using genetic and optimization algorithms. / Do, Huy Q.; Aragón, Alejandro M.; Schott, Dingena L.
Proceedings of the 8th International Conference on Micromechanics on Granular Media : Powders and Grains 2017. ed. / F. Radjai; S. Nezamabadi; S. Luding; J.Y. Delenne. Les Ulis Cedex A, France: EDP Sciences, 2017. 15011 (EPJ Web of Conferences; Vol. 140).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Automated discrete element method calibration using genetic and optimization algorithms

AU - Do, Huy Q.

AU - Aragón, Alejandro M.

AU - Schott, Dingena L.

PY - 2017

Y1 - 2017

N2 - This research aims at developing a universal methodology for automated calibration of microscopic properties of modelled granular materials. The proposed calibrator can be applied for different experimental set-ups. Two optimization approaches: (1) a genetic algorithm and (2) DIRECT optimization, are used to identify discrete element method input model parameters, e.g., coefficients of sliding and rolling friction. The algorithms are used to minimize the objective function characterized by the discrepancy between the experimental macroscopic properties and the associated numerical results. Two test cases highlight the robustness, stability, and reliability of the two algorithms used for automated discrete element method calibration with different set-ups.

AB - This research aims at developing a universal methodology for automated calibration of microscopic properties of modelled granular materials. The proposed calibrator can be applied for different experimental set-ups. Two optimization approaches: (1) a genetic algorithm and (2) DIRECT optimization, are used to identify discrete element method input model parameters, e.g., coefficients of sliding and rolling friction. The algorithms are used to minimize the objective function characterized by the discrepancy between the experimental macroscopic properties and the associated numerical results. Two test cases highlight the robustness, stability, and reliability of the two algorithms used for automated discrete element method calibration with different set-ups.

UR - http://resolver.tudelft.nl/uuid:393c7726-2eb5-4a8b-a653-18f86ad31ca6

UR - http://www.scopus.com/inward/record.url?scp=85024090563&partnerID=8YFLogxK

U2 - 10.1051/epjconf/201714015011

DO - 10.1051/epjconf/201714015011

M3 - Conference contribution

T3 - EPJ Web of Conferences

BT - Proceedings of the 8th International Conference on Micromechanics on Granular Media

A2 - Radjai, F.

A2 - Nezamabadi, S.

A2 - Luding, S.

A2 - Delenne, J.Y.

PB - EDP Sciences

CY - Les Ulis Cedex A, France

T2 - 8th International Conference on Micromechanics on Granular Media

Y2 - 3 July 2017 through 7 July 2017

ER -

Do HQ, Aragón AM , Schott DL. Automated discrete element method calibration using genetic and optimization algorithms. In Radjai F, Nezamabadi S, Luding S, Delenne JY, editors, Proceedings of the 8th International Conference on Micromechanics on Granular Media : Powders and Grains 2017. Les Ulis Cedex A, France: EDP Sciences. 2017. 15011. (EPJ Web of Conferences). doi: 10.1051/epjconf/201714015011

Automated discrete element method calibration using genetic and optimization algorithms

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this