Particles - Abrasion evolution of steel furnace slag aggregate for railway ballast: 3D morphology analysis of scanned particles by close-range photogrammetry

This Dataset contains supplementary data related to the scientific article "Abrasion evolution of steel furnace slag aggregate for railway ballast: 3D morphology analysis of scanned particles by close-range photogrammetry", by André Paixão and Eduardo Fortunato, published in Construction and Building Materials, Elsevier B.V., ISSN: 0950-0618 (accepted for publication on 4 October 2020). https://doi.org/10.1016/j.conbuildmat.2020.121225 The dataset comprises 180 digital 3D models in .ply format, corresponding to 30 distinct reconstructed railway ballast particles from two different materials - slag (a) and granite (g) - captures at three stages of the micro-Deval abrasion test: i) before the test; ii) after 2000 revolutions; iii) after a total of 14,000 revolutions (end of the test). The file naming convention for each particle is as follows, using the example of slag particle no. 15: a15.ply - model before the microDeval test; a15_.ply - model after 2000 revolutons; a15__.ply - model after 14,000 revolutions. The initial particles were carefully positioned and oriented such that their centre of mass is located at coordinates (x,y,z) = (0,0,0), and aligned with the respective principal axis (not with L, I and S distances). The subsequent degraded models of each particle were aligned with the initial particle model using MeshLab's auto align tool (meshlab.net). For additional data, please contact the authors. Acknowledgments The first author’s postdoctoral fellowship [SFRH/BPD/107737/2015] was supported by Fundação para a Ciência e a Tecnologia, through POCH, co-financed by the ESF and national funds of MCTES, Portugal. Part of the work was conducted in the framework of the TC202 national committee of the Portuguese Geotechnical Society (SPG) “Transportation Geotechnics”, in association with the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE-TC202). The valuable help of Mr. Rui Coelho, Mr. João Costa and students Carlos Afonso and Nycolas Glerean with the photographic sessions of the particles and with the micro-Deval testing is also acknowledged. Special thanks to Siderurgia Nacional da Maia for providing the steel slag aggregate used in this research.本数据集包含与科学论文《用于铁路道砟的钢炉渣集料磨耗演化：基于近景摄影测量（close-range photogrammetry）的扫描颗粒三维形态分析》（作者André Paixão与Eduardo Fortunato，发表于爱思唯尔（Elsevier B.V.）旗下《Construction and Building Materials》，ISSN: 0950-0618，2020年10月4日被录用）相关的补充数据。 https://doi.org/10.1016/j.conbuildmat.2020.121225 本数据集包含180个.ply格式的三维数字模型，对应两种不同材料——钢炉渣(a)与花岗岩(g)——的30个不同铁路道砟颗粒，分别在微德瓦尔磨耗试验（micro-Deval abrasion test）的三个阶段完成扫描： i) 试验前； ii) 2000次转数后； iii) 累计14000次转数后（试验结束）。 各颗粒的文件命名规范如下，以15号钢炉渣颗粒为例： a15.ply：微德瓦尔试验前的三维模型； a15_.ply：2000次转数后的三维模型； a15__.ply：14000次转数后的三维模型。 初始颗粒经精心定位与定向，使其质心位于坐标(x,y,z)=(0,0,0)处，并与各自的主轴对齐（未与L、I、S三个距离参数对齐）。后续每个颗粒的退化模型均通过MeshLab的自动对齐工具（meshlab.net）与初始颗粒模型完成对齐。 如需获取额外数据，请联系论文作者。 致谢 本研究第一作者的博士后奖学金[SFRH/BPD/107737/2015]由葡萄牙科学技术基金会（Fundação para a Ciência e a Tecnologia）通过POCH项目提供支持，该项目由欧洲社会基金（ESF）与葡萄牙MCTES国家资金共同资助。部分研究工作依托葡萄牙岩土工程学会（SPG）TC202全国委员会“交通岩土工程”框架开展，并与国际土力学与岩土工程学会（ISSMGE-TC202）合作完成。感谢Rui Coelho先生、João Costa先生以及学生Carlos Afonso与Nycolas Glerean在颗粒摄影扫描与微德瓦尔磨耗试验中提供的宝贵协助。特别感谢Siderurgia Nacional da Maia为本研究提供钢炉渣集料。