Data and codes for DEM modelling and calibration of multi-component segregation

This dataset contains the data and codes underlying the PhD thesis of Ahmed Hadi (TU Delft), which focuses on Discrete Element Method (DEM) modelling and calibration of multi-component segregation in blast furnace charging systems. It includes reference DEM simulation decks (Altair EDEM), statistical analysis files from Definitive Screening Design (JMP Pro), input–output datasets for machine learning, Matlab codes for surrogate modelling and optimisation, and calibration reference decks. The dataset is organised by thesis chapter and linked to published journal articles. It enables researchers to reproduce the simulations, apply the machine learning models, and extend calibration studies of granular segregation in industrial-scale systems.

本数据集涵盖了代尔夫特理工大学（TU Delft）Ahmed Hadi的博士学位论文背后的全部数据与代码，其研究主题为高炉装料系统内多组分偏析的离散元法（Discrete Element Method, DEM）建模与校准。该数据集包含参考DEM仿真算例文件（Altair EDEM）、基于确定性筛选设计（Definitive Screening Design）的统计分析文件（JMP Pro生成）、机器学习用输入-输出数据集、用于代理建模与优化的Matlab代码，以及校准参考算例文件。该数据集按照博士论文章节进行组织，并与已发表的期刊论文建立关联，可支持研究人员复现仿真过程、调用机器学习模型，并拓展工业规模系统内颗粒偏析的校准研究。