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Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework

Tongming Qu, Y.T. Feng, T. Zhao, Min Wang, Yuntian Feng Orcid Logo

Powder Technology

Swansea University Author: Yuntian Feng Orcid Logo

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DOI (Published version): 10.1016/j.powtec.2019.09.016

Abstract

Efficient selections of particle-scale contact parameters in discrete element modelling remain an open question. The aim of this study is to provide a hybrid calibration framework to estimate linear contact stiffnesses (normal and tangential) for both two-dimensional and three-dimensional simulation...

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Published in: Powder Technology
ISSN: 0032-5910
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51730
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first_indexed 2019-09-09T15:26:32Z
last_indexed 2019-09-12T14:48:56Z
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spelling 2019-09-12T09:11:46.6829162 v2 51730 2019-09-09 Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework d66794f9c1357969a5badf654f960275 0000-0002-6396-8698 Yuntian Feng Yuntian Feng true false 2019-09-09 CIVL Efficient selections of particle-scale contact parameters in discrete element modelling remain an open question. The aim of this study is to provide a hybrid calibration framework to estimate linear contact stiffnesses (normal and tangential) for both two-dimensional and three-dimensional simulations. Analytical formulas linking macroscopic parameters (Young's modulus, Poisson's ratio) to mesoscopic particle parameters for granular systems are derived based on statistically isotropic packings under small-strain isotropic stress conditions. By taking the derived analytical solutions as initial approximations, the gradient descent algorithm automatically obtains a reliable numerical estimation. The proposed framework is validated with several numerical cases including randomly distributed monodisperse and polydisperse packings. The results show that this hybrid method practically reduces the time for artificial trials and errors to obtain reasonable stiffness parameters. The proposed framework can be extended to other parameter calibration problems in DEM. Journal Article Powder Technology 0032-5910 Discrete element method, Homogenisation methods, Constitutive law, Contact force chains, Calibration method, Gradient descent 31 12 2019 2019-12-31 10.1016/j.powtec.2019.09.016 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2019-09-12T09:11:46.6829162 2019-09-09T10:41:56.0010067 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Tongming Qu 1 Y.T. Feng 2 T. Zhao 3 Min Wang 4 Yuntian Feng 0000-0002-6396-8698 5 0051730-09092019104314.pdf qu2019(2_.pdf 2019-09-09T10:43:14.1070000 Output 2028843 application/pdf Accepted Manuscript true 2020-09-09T00:00:00.0000000 © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ false eng
title Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
spellingShingle Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
Yuntian Feng
title_short Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
title_full Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
title_fullStr Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
title_full_unstemmed Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
title_sort Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework
author_id_str_mv d66794f9c1357969a5badf654f960275
author_id_fullname_str_mv d66794f9c1357969a5badf654f960275_***_Yuntian Feng
author Yuntian Feng
author2 Tongming Qu
Y.T. Feng
T. Zhao
Min Wang
Yuntian Feng
format Journal article
container_title Powder Technology
publishDate 2019
institution Swansea University
issn 0032-5910
doi_str_mv 10.1016/j.powtec.2019.09.016
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description Efficient selections of particle-scale contact parameters in discrete element modelling remain an open question. The aim of this study is to provide a hybrid calibration framework to estimate linear contact stiffnesses (normal and tangential) for both two-dimensional and three-dimensional simulations. Analytical formulas linking macroscopic parameters (Young's modulus, Poisson's ratio) to mesoscopic particle parameters for granular systems are derived based on statistically isotropic packings under small-strain isotropic stress conditions. By taking the derived analytical solutions as initial approximations, the gradient descent algorithm automatically obtains a reliable numerical estimation. The proposed framework is validated with several numerical cases including randomly distributed monodisperse and polydisperse packings. The results show that this hybrid method practically reduces the time for artificial trials and errors to obtain reasonable stiffness parameters. The proposed framework can be extended to other parameter calibration problems in DEM.
published_date 2019-12-31T04:03:44Z
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score 11.017797

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