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使用简单颗粒形状对铁路道砟进行高效的离散单元法模拟

Efficient DEM simulations of railway ballast using simple particle shapes.

作者信息

Suhr Bettina, Six Klaus

机构信息

Virtual Vehicle Research GmbH, Inffeldgasse 21/A, A-8010, Graz, Austria.

出版信息

Granul Matter. 2022;24(4):114. doi: 10.1007/s10035-022-01274-y. Epub 2022 Sep 13.

DOI:10.1007/s10035-022-01274-y
PMID:36119809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9470696/
Abstract

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.

摘要

对于形状复杂的材料,离散单元法(DEM)模型的计算效率和准确性通常是相互矛盾的要求。在文献中,铁路道砟的DEM模型通常将非常复杂且计算要求高的颗粒形状与非常简单的接触定律结合使用。相比之下,本研究提出了用于铁路道砟的高效DEM模型,该模型使用简单的颗粒形状以及包含更多物理效应的接触定律。在作者之前的工作中,通过对两种类型道砟进行形状分析计算得到的形状描述符,被用于构建简单的颗粒形状(三个球体的团块)。在压缩和直剪试验的DEM模拟中使用这种形状时,只有当接触定律包含额外的物理效应(如边缘破损)时,才能获得准确的结果。针对该接触定律,开发了一种参数化策略,将DEM模拟与测量结果进行比较。现在,所有构建的简单颗粒形状都进行了参数化,以便研究它们的适用性,并将其形状描述符与铁路道砟的形状描述符相关联。最合适的颗粒形状由不重叠的球体组成,因此具有较高的联锁潜力,并且具有最低的球形度和最高的凸度值。在对四种性能最佳的形状进行微观力学分析时,三种形状在宏观和微观尺度上表现出相似的行为,而一种形状在微观尺度上明显不同。该分析表明,在其他试验/载荷工况的DEM模拟中,可以预期哪些形状会产生相似的结果。所提出的方法是朝着实现铁路道砟高效且准确的DEM建模迈出的一步。

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本文引用的文献

1
DEM modelling of railway ballast using the Conical Damage Model: a comprehensive parametrisation strategy.使用锥形损伤模型对铁路道砟进行离散元建模:一种全面的参数化策略。
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2
Shape analysis of railway ballast stones: curvature-based calculation of particle angularity.基于曲率的道床碎石棱角形状分析
Sci Rep. 2020 Apr 8;10(1):6045. doi: 10.1038/s41598-020-62827-w.
3
Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour.
用于铁路道砟离散单元法模拟的简单颗粒形状:形状描述符对堆积行为的影响。
Granul Matter. 2020;22(2):43. doi: 10.1007/s10035-020-1009-0. Epub 2020 Mar 23.
4
Comparison of two different types of railway ballast in compression and direct shear tests: experimental results and DEM model validation.两种不同类型铁路道砟在压缩试验和直剪试验中的比较:试验结果与离散元模型验证
Granul Matter. 2018;20(4):70. doi: 10.1007/s10035-018-0843-9. Epub 2018 Sep 29.
5
Parametrisation of a DEM model for railway ballast under different load cases.不同荷载工况下铁路道砟离散单元法(DEM)模型的参数化
Granul Matter. 2017;19(4):64. doi: 10.1007/s10035-017-0740-7. Epub 2017 Aug 2.
6
Optimizing packing fraction in granular media composed of overlapping spheres.优化由重叠球体组成的颗粒介质中的填充率。
Soft Matter. 2016 Jan 28;12(4):1107-15. doi: 10.1039/c5sm02335a.