TY - DATA
T1 - DEM simulation data containing micro- and macro-scale quantities of granular materials under triaxial compression
PY - 2021/09/23
AU - Hongyang Cheng
UR - https://data.4tu.nl/articles/dataset/DEM_simulation_data_containing_micro-_and_macro-scale_quantities_of_granular_materials_under_triaxial_compression/16632559/1
DO - 10.4121/16632559.v1
KW - DEM
KW - Granular materials
KW - Triaxial compression
KW - Multi-scale
KW - YADE
KW - GrainLearning
N2 - <div>The database contains the micro scale (raw) simulation data and the postprocessed data at the macro scale. Each dataset is created by a different set of parameter that corresponds to a certain type of soil. Note, only drained triaxial stress paths, starting from an initial void ratio of 0.68 are considered here. The dataset can be recreated using the open-source software Yade (Release version: 2020.01a). The source code that executes the simulation can be found at github.com/chyalexcheng/grainLearning. The database can be used by GrainLearning to find the first estimate of probability distribution of DEM model parameters for calibration and optimization purposes. The micro- and macro-scale data is intended to build data-driven micro-macro transition laws.</div>
ER -