TY - DATA T1 - Data and codes for DEM modelling and calibration of multi-component segregation PY - 2025/09/01 AU - Ahmed Hadi AU - Dingena Schott AU - Yusong Pang UR - DO - 10.4121/aca78cf8-0ffc-4827-9481-3dd4a9930257.v1 KW - Discrete element model (DEM) KW - Calibration KW - Sensitivity analysis KW - machine learning KW - Surrogate modelling N2 -
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.
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