skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

This content will become publicly available on November 9, 2020

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

Abstract

Efficient selections of particle-scale contact parameters in discrete element modelling remain an open question. The purpose 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 introduced 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 also be extended to other parameter calibration problems in DEM.

Authors:
 [1]; ORCiD logo [1];  [1]; ORCiD logo [2]
  1. Swansea Univ., Wales (United Kingdom)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1571625
Report Number(s):
LA-UR-19-29068
Journal ID: ISSN 0032-5910
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Powder Technology
Additional Journal Information:
Journal Volume: 356; Journal Issue: C; Journal ID: ISSN 0032-5910
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
Earth Sciences; Discrete element method; Homogenisation methods; Constitutive law; Contact force chains; Calibration method; Gradient descent.

Citation Formats

Qu, Tongming, Feng, Y. T., Zhao, T., and Wang, Min. Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework. United States: N. p., 2019. Web. doi:10.1016/j.powtec.2019.09.016.
Qu, Tongming, Feng, Y. T., Zhao, T., & Wang, Min. Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework. United States. doi:10.1016/j.powtec.2019.09.016.
Qu, Tongming, Feng, Y. T., Zhao, T., and Wang, Min. Sat . "Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework". United States. doi:10.1016/j.powtec.2019.09.016.
@article{osti_1571625,
title = {Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework},
author = {Qu, Tongming and Feng, Y. T. and Zhao, T. and Wang, Min},
abstractNote = {Efficient selections of particle-scale contact parameters in discrete element modelling remain an open question. The purpose 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 introduced 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 also be extended to other parameter calibration problems in DEM.},
doi = {10.1016/j.powtec.2019.09.016},
journal = {Powder Technology},
number = C,
volume = 356,
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on November 9, 2020
Publisher's Version of Record

Save / Share: