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Efficient DEM simulations of railway ballast using simple particle shapes

For complex shaped materials, computational efficiency and accuracy of DEM models are usually opposing requirements. In the literature, DEM models of railway ballast often use very complex and computationally demanding particle shapes in combination with very simple contact laws. In contrast, this s...

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Autores principales: Suhr, Bettina, Six, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470696/
https://www.ncbi.nlm.nih.gov/pubmed/36119809
http://dx.doi.org/10.1007/s10035-022-01274-y
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author Suhr, Bettina
Six, Klaus
author_facet Suhr, Bettina
Six, Klaus
author_sort Suhr, Bettina
collection PubMed
description For complex shaped materials, computational efficiency and accuracy of DEM models are usually opposing requirements. In the literature, DEM models of railway ballast often use very complex and computationally demanding particle shapes in combination with very simple contact laws. In contrast, this study suggests efficient DEM models for railway ballast using simple particle shapes together with a contact law including more physical effects. In previous works of the authors, shape descriptors, calculated in a shape analysis of two types of ballast, were used to construct simple particle shapes (clumps of three spheres). Using such a shape in DEM simulations of compression and direct shear tests, accurate results were achieved only when the contact law included additional physical effects e.g. edge breakage. A parametrisation strategy was developed for this contact law comparing DEM simulations with the measurements. Now, all the constructed simple particle shapes are parametrised allowing to study their suitability and relating their shape descriptors to those of railway ballast. The most suitable particle shapes consist of non-overlapping spheres, thus have a high interlocking potential, and have lowest sphericity and highest convexity values. In a micromechanical analysis of the four best performing shapes, three shapes show similar behaviour on the bulk and the micro-scale, while one shape differs clearly on the micro-scale. This analysis shows, which shapes can be expected to produce similar results in DEM simulations of other tests/load cases. The presented approach is a step towards both efficient and accurate DEM modelling of railway ballast. GRAPHIC ABSTRACT: [Image: see text]
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spelling pubmed-94706962022-09-15 Efficient DEM simulations of railway ballast using simple particle shapes Suhr, Bettina Six, Klaus Granul Matter Original Paper For complex shaped materials, computational efficiency and accuracy of DEM models are usually opposing requirements. In the literature, DEM models of railway ballast often use very complex and computationally demanding particle shapes in combination with very simple contact laws. In contrast, this study suggests efficient DEM models for railway ballast using simple particle shapes together with a contact law including more physical effects. In previous works of the authors, shape descriptors, calculated in a shape analysis of two types of ballast, were used to construct simple particle shapes (clumps of three spheres). Using such a shape in DEM simulations of compression and direct shear tests, accurate results were achieved only when the contact law included additional physical effects e.g. edge breakage. A parametrisation strategy was developed for this contact law comparing DEM simulations with the measurements. Now, all the constructed simple particle shapes are parametrised allowing to study their suitability and relating their shape descriptors to those of railway ballast. The most suitable particle shapes consist of non-overlapping spheres, thus have a high interlocking potential, and have lowest sphericity and highest convexity values. In a micromechanical analysis of the four best performing shapes, three shapes show similar behaviour on the bulk and the micro-scale, while one shape differs clearly on the micro-scale. This analysis shows, which shapes can be expected to produce similar results in DEM simulations of other tests/load cases. The presented approach is a step towards both efficient and accurate DEM modelling of railway ballast. GRAPHIC ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2022-09-13 2022 /pmc/articles/PMC9470696/ /pubmed/36119809 http://dx.doi.org/10.1007/s10035-022-01274-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Suhr, Bettina
Six, Klaus
Efficient DEM simulations of railway ballast using simple particle shapes
title Efficient DEM simulations of railway ballast using simple particle shapes
title_full Efficient DEM simulations of railway ballast using simple particle shapes
title_fullStr Efficient DEM simulations of railway ballast using simple particle shapes
title_full_unstemmed Efficient DEM simulations of railway ballast using simple particle shapes
title_short Efficient DEM simulations of railway ballast using simple particle shapes
title_sort efficient dem simulations of railway ballast using simple particle shapes
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470696/
https://www.ncbi.nlm.nih.gov/pubmed/36119809
http://dx.doi.org/10.1007/s10035-022-01274-y
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