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Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour

ABSTRACT: In any DEM simulation, the chosen particle shape will greatly influence the simulated material behaviour. For a specific material, e.g. railway ballast, it remains an open question how to model the particle shape, such that DEM simulations are computationally efficient and simulation resul...

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Autores principales: Suhr, Bettina, Six, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093080/
https://www.ncbi.nlm.nih.gov/pubmed/32226281
http://dx.doi.org/10.1007/s10035-020-1009-0
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author Suhr, Bettina
Six, Klaus
author_facet Suhr, Bettina
Six, Klaus
author_sort Suhr, Bettina
collection PubMed
description ABSTRACT: In any DEM simulation, the chosen particle shape will greatly influence the simulated material behaviour. For a specific material, e.g. railway ballast, it remains an open question how to model the particle shape, such that DEM simulations are computationally efficient and simulation results are in good accordance with measurements. While DEM shape modelling for railway ballast is well addressed in the literature, approaches mainly aim at approximating the stones’ actual shape, resulting in rather complex and thus inefficient particle shapes. In contrast, very simple DEM shapes will be constructed, clumps of three spheres, which aim to approximate shape descriptors of the considered ballast material. In DEM simulations of the packing behaviour, a set of clump shapes is identified, which can pack at porosities observed at track sites, as well as in lab tests. The relation between particle shape (descriptors) and obtained packing (characteristic) is investigated in a correlation analysis. The simulated packing’s porosity is strongly correlated to four shape descriptors, which are also strongly correlated among each other. Thus, to derive simple shape models of a given particle shape, matching one of these shape descriptors, might be a good first step to bring simulated porosities closer to measured ones. The conducted correlation analysis also shows that packing’s coordination number and isotropic fabric are correlated to more shape descriptors, making it more difficult to estimate the effect of particle shape on these quantities. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10035-020-1009-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-70930802020-03-26 Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour Suhr, Bettina Six, Klaus Granul Matter Original Paper ABSTRACT: In any DEM simulation, the chosen particle shape will greatly influence the simulated material behaviour. For a specific material, e.g. railway ballast, it remains an open question how to model the particle shape, such that DEM simulations are computationally efficient and simulation results are in good accordance with measurements. While DEM shape modelling for railway ballast is well addressed in the literature, approaches mainly aim at approximating the stones’ actual shape, resulting in rather complex and thus inefficient particle shapes. In contrast, very simple DEM shapes will be constructed, clumps of three spheres, which aim to approximate shape descriptors of the considered ballast material. In DEM simulations of the packing behaviour, a set of clump shapes is identified, which can pack at porosities observed at track sites, as well as in lab tests. The relation between particle shape (descriptors) and obtained packing (characteristic) is investigated in a correlation analysis. The simulated packing’s porosity is strongly correlated to four shape descriptors, which are also strongly correlated among each other. Thus, to derive simple shape models of a given particle shape, matching one of these shape descriptors, might be a good first step to bring simulated porosities closer to measured ones. The conducted correlation analysis also shows that packing’s coordination number and isotropic fabric are correlated to more shape descriptors, making it more difficult to estimate the effect of particle shape on these quantities. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10035-020-1009-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-03-23 2020 /pmc/articles/PMC7093080/ /pubmed/32226281 http://dx.doi.org/10.1007/s10035-020-1009-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Paper
Suhr, Bettina
Six, Klaus
Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour
title Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour
title_full Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour
title_fullStr Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour
title_full_unstemmed Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour
title_short Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour
title_sort simple particle shapes for dem simulations of railway ballast: influence of shape descriptors on packing behaviour
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093080/
https://www.ncbi.nlm.nih.gov/pubmed/32226281
http://dx.doi.org/10.1007/s10035-020-1009-0
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