Datasets for the paper "A new paradigm for computing hydrodynamic forces on particles in Euler–Lagrange point-particle simulations"

A new paradigm for computing hydrodynamic forces on particles in Euler–Lagrange point-particle simulationsAuthors: Berend van Wachem, Hani Elmestikawy, Akshay Chandran, and Max Hausmann Description This repository contains the data associated with the above-mentioned publication. The dataset is organized into two main folders: 1. raw_data This folder includes the raw datasets used for deriving the correlations presented in the paper. data_single_particle_correlation/Contains data used to fit the correlation relating the filtered Reynolds number ($\tilde{\mathrm{Re}}\mathrm{p}$) to the superficial Reynolds number ($\mathrm{Re}\mathrm{s}$).A dedicated README.md file in this subfolder provides a detailed description of the files and data format. data_suspension_of_particles_correlation/Includes data used to fit the normalized drag force correlation as a function of: volume-filtered fluid velocity: $\varepsilon_\mathrm{f}\,\bar{\boldsymbol{u}}_{f@p}$ volume-filtered fluid volume fraction: $\varepsilon_\mathrm{f}$ non-dimensional filter width: $\sigma'$ This subfolder also contains a README.md with detailed documentation of the included data. 2. plot_data Contains data corresponding to selected figures in the paper, along with a Python script to reproduce these plots. The script is compatible with standard scientific Python libraries (e.g., matplotlib, numpy, pandas). Funding Acknowledgment This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the following projects: Project-ID 457515061 Project-ID 457509672 Project-ID 422037413 – TRR 287 Project-ID 466092867 – SPP 2331### 欧拉-拉格朗日点粒子模拟中粒子流体动力载荷计算的新范式 作者：Berend van Wachem、Hani Elmestikawy、Akshay Chandran 及 Max Hausmann ## 数据集说明 本仓库包含与上述学术论文配套的数据集。本数据集分为两个核心文件夹： 1. **raw_data** 该文件夹存储了用于推导论文中提出的关联式的原始数据集。 ### 子文件夹 `data_single_particle_correlation` 该子文件夹包含用于拟合**过滤后颗粒雷诺数（$ ilde{mathrm{Re}}_p$）**与**表观雷诺数（$mathrm{Re}_s$）**之间关联关系的数据集。本子文件夹下配有专属`README.md`文件，对其中包含的文件及数据格式进行了详细说明。 ### 子文件夹 `data_suspension_of_particles_correlation` 该子文件夹包含用于拟合归一化曳力关联式的数据集，该关联式为以下参数的函数： - 体积过滤流体速度：$varepsilon_mathrm{f},ar{oldsymbol{u}}_{f@p}$ - 体积过滤流体体积分数：$varepsilon_mathrm{f}$ - 无量纲过滤宽度：$sigma'$ 本子文件夹同样配有`README.md`文件，对所包含的数据进行了完整的文档说明。 2. **plot_data** 该文件夹包含与论文中选定图表相对应的复现数据，以及用于复刻这些图表的Python脚本。该脚本兼容主流科学计算Python库（如`matplotlib`、`numpy`、`pandas`）。 ## 资助声明 本研究由德国研究基金会（Deutsche Forschungsgemeinschaft, DFG）资助，资助项目如下： - 项目编号：457515061 - 项目编号：457509672 - 项目编号：422037413 —— 跨区域合作研究中心TRR 287 - 项目编号：466092867 —— 优先发展项目SPP 2331