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基于曲率的道床碎石棱角形状分析

Shape analysis of railway ballast stones: curvature-based calculation of particle angularity.

机构信息

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

The University of Sheffield, Department of Mechanical Engineering, Mappin Street, S1 3JD, Sheffield, UK.

出版信息

Sci Rep. 2020 Apr 8;10(1):6045. doi: 10.1038/s41598-020-62827-w.

DOI:10.1038/s41598-020-62827-w
PMID:32269233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7142084/
Abstract

Particle shape analysis is conducted, to compare two types of railway ballast: Calcite and Kieselkalk. Focus lies on the characterisation of particle angularity using 3D scanner data. In the literature, angularity is often characterised using 2D data, as these types of data are easier to collect. 3D scanner data contain a vast amount of information (e.g. curvatures) which can be used for shape analysis and angularity characterisation. Literature approaches that use 3D data are often not thoroughly tested, due to a lack of test cases. In this work, two new curvature-based angularity indices are introduced and compared to one from the literature. Analytical test bodies with shapes ranging from spherical towards cubic are used for a first plausibility test. Then, 3D scans of ballast stones are compared to artificially rounded meshes. Only one out of three evaluated angularity indices seem to be suited to characterise angularity correctly in all of the above tests: the newly introduced scaled Willmore energy. A complete shape analysis of the scanned ballast stones is conducted and no difference between the two types of ballast can be seen regarding form, angularity, roughness, sphericity or convexity index. These findings of shape analysis are set in the context of previous works, where experimental results and DEM simulations of uniaxial compression tests and direct shear tests were presented for the same ballast types.

摘要

进行颗粒形状分析,比较两种类型的铁路道砟:方解石和硅质石灰岩。重点在于使用 3D 扫描仪数据对颗粒棱角进行特征描述。在文献中,棱角通常使用 2D 数据进行特征描述,因为这类数据更容易收集。3D 扫描仪数据包含大量信息(例如曲率),可用于形状分析和棱角特征描述。由于缺乏测试案例,使用 3D 数据的文献方法往往没有经过彻底测试。在这项工作中,引入了两个新的基于曲率的棱角指数,并与文献中的一个进行了比较。使用形状从球形到立方体形的分析测试体进行了初步可行性测试。然后,将道砟石的 3D 扫描与人为圆形的网格进行比较。在所有上述测试中,只有三个评估的棱角指数中的一个似乎适合正确地描述棱角:新引入的缩放威尔莫尔能量。对扫描的道砟石进行了完整的形状分析,在形状、棱角、粗糙度、球形度或凸度指数方面,两种类型的道砟之间没有差异。这些形状分析的结果与之前的工作相结合,其中展示了相同类型的道砟的单轴压缩试验和直接剪切试验的实验结果和 DEM 模拟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/514113c19fc0/41598_2020_62827_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/1996da5d2c2b/41598_2020_62827_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/b3a0c69b2381/41598_2020_62827_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/9230a35ab408/41598_2020_62827_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/5809b17a0926/41598_2020_62827_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/e82b9f9da827/41598_2020_62827_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/fbe57b002e83/41598_2020_62827_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/90f426394ff5/41598_2020_62827_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/44c0a3449360/41598_2020_62827_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/062cb8781d5f/41598_2020_62827_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/607c458d97bd/41598_2020_62827_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/da4491ecd16f/41598_2020_62827_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/514113c19fc0/41598_2020_62827_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/1996da5d2c2b/41598_2020_62827_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/b3a0c69b2381/41598_2020_62827_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/9230a35ab408/41598_2020_62827_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/5809b17a0926/41598_2020_62827_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/e82b9f9da827/41598_2020_62827_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/fbe57b002e83/41598_2020_62827_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/90f426394ff5/41598_2020_62827_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/44c0a3449360/41598_2020_62827_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/062cb8781d5f/41598_2020_62827_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/607c458d97bd/41598_2020_62827_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/da4491ecd16f/41598_2020_62827_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1b/7142084/514113c19fc0/41598_2020_62827_Fig12_HTML.jpg

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本文引用的文献

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Granul Matter. 2020;22(2):43. doi: 10.1007/s10035-020-1009-0. Epub 2020 Mar 23.
2
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.
3
Parametrisation of a DEM model for railway ballast under different load cases.
Granul Matter. 2022;24(1):40. doi: 10.1007/s10035-021-01198-z. Epub 2022 Jan 24.
4
Search, reuse and sharing of research data in materials science and engineering-A qualitative interview study.材料科学与工程领域研究数据的搜索、复用与共享:一项定性访谈研究。
PLoS One. 2020 Sep 15;15(9):e0239216. doi: 10.1371/journal.pone.0239216. eCollection 2020.
5
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.
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.