Effect of Sediment Form and Form Distribution on Porosity

Data to accompany the journal article "Effect of Sediment Form and Form Distribution on Porosity: A Simulation Study Based on the Discrete Element Method" by Rettinger et al. (2022). The data set contains simulation input and results obtained by the particle packing studies using the discrete element method, as described in the article. The folder `surface_meshes` features 63 processed scans of gravel sediments from the Rhine river in Germany. The original scans have been converted to a convex surface mesh, and then simplified to feature at most 300 surface triangles. Additionally, they were oriented along their principle axes of inertia and scaled such that their size, according to the applied definition, is 1. The folder `single_form` contains the simulation results of the single shape/form studies, where all particles featured a single shape, given by one of the meshes. Three different size distributions have been used: U1 is a unimodal one with a single size class, U7 is also unimodal but with seven size classes, B50 is a bimodal one with approximately half fine and half coarse particles. Each corresponding csv file contains the obtained porosity (`porosity`) of the actual packing and of the packing using equivalent ellipsoids (`porosityEquivEllip`). Furthermore, the considered form factors according to their respective definition, as well as their inverse (`invX`), are given. See the article for the definition and the meaning of the abbreviation. The folder `form_distribution` contains the simulation results of the form distribution study, where the particle form was prescribed by flatness and elongation which were sampled from truncated normal distributions. Again two different size distributions have been used: U1 and U7. Each corresponding csv file contains the obtained porosity (`porosity`) and statistical information about the form factors, given as number-based mean (`mean`) and standard deviation (`std`). In addition to the inverse of each form factor (`invX`), the inverse of each statistical quantity has been evaluated (`1/(X)`) and is contained as column.本数据集配套于Rettinger等人2022年发表的期刊论文《沉积物形态与形态分布对孔隙率的影响：基于离散元法的模拟研究》（Effect of Sediment Form and Form Distribution on Porosity: A Simulation Study Based on the Discrete Element Method）。本数据集包含论文中所述的、采用离散元法（Discrete Element Method）开展颗粒堆积模拟研究所得到的模拟输入数据与计算结果。 `surface_meshes` 文件夹内含63组经预处理的德国莱茵河砾石沉积物扫描模型。原始扫描模型已被转换为凸曲面网格，并简化至多包含300个表面三角面片。此外，所有模型均沿其惯性主轴进行定向，并按照预设定义缩放至尺寸为1。 `single_form` 文件夹内含单一形态颗粒堆积的模拟结果，所有颗粒均采用上述某一网格定义的单一形状。本次研究采用了三种不同的粒径分布方案：U1为单峰分布，仅包含一个粒径等级；U7同样为单峰分布，但包含七个粒径等级；B50为双峰分布，细颗粒与粗颗粒占比各约50%。各对应CSV文件均包含实际颗粒堆积体的孔隙率（字段名：`porosity`）以及等效椭球堆积体的孔隙率（字段名：`porosityEquivEllip`）。此外，文件中还提供了按各自定义计算的形态因子及其倒数（字段名：`invX`）。相关缩写的定义与含义请参阅原文。 `form_distribution` 文件夹内含形态分布研究的模拟结果，其中颗粒形态由扁平度与伸长率表征，二者均从截尾正态分布中采样得到。本次研究同样采用了U1和U7两种粒径分布方案。各对应CSV文件均包含实测颗粒堆积体的孔隙率（字段名：`porosity`）以及形态因子的统计信息，包括基于数量统计的均值（字段名：`mean`）与标准差（字段名：`std`）。除各形态因子的倒数（字段名：`invX`）外，各统计量的倒数（`1/(X)`）也已完成计算，并作为单独列存入文件中。