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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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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. |
format | Online Article Text |
id | pubmed-7093080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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