Directional Elastic Properties and Numerical Homogenization of Metal Foams Manufactured from AlSi10Mg

README — Simulation Dataset for AlSi10Mg Foam Study Study Overview This dataset contains all simulation files used to analyze the elastic behavior of AlSi10Mg metal foam specimens.The simulations were performed on high-resolution X-ray microscopy (XRM) reconstructions of three representative foam samples (Specimen A, B, and C). The dataset includes preprocessing scripts, finite element model generation, and numerical homogenization results for full (1-part) and quarter (4-part) models, as well as pressure-loading simulations for selected subvolumes. All geometry, displacement, and stiffness values correspond to the units used in the associated publication: Lengths: mm Stiffness values: MPa Forces: N The original XRM DICOM data and raw mechanical tests are not included here; the Zenodo record contains simulation data only. Dataset Overview The dataset is organized into three main components: convergence_study — mesh-refinement and numerical convergence analysis dolfinx_alex — the Docker/Apptainer environment and Python utilities required to reproduce the finite element simulations pygalmesh — meshing pipeline, configuration files, and all simulation results (homogenization and pressure experiment) Directory Structure and Content Description 1. convergence_study/ Contains a minimal example evaluating convergence of the numerical homogenization procedure. data.txt — tabulated values showing error evolution with mesh density plot_nu_cells.pdf — PDF convergence plot script.py — Python script used to generate the convergence data 2. dolfinx_alex/ Environment definitions and shared Python simulation utilities. Top-level files: Dockerfile, apptainer.def — images for running DolfinX simulations docker-compose.yml — container orchestration shared/utils/alex/ — collection of simulation utilities: Material models (linearelastic.py, hyperelastic.py, plasticity.py) Pre- and post-processing routines Image processing functions Boundary conditions, homogenization workflows __pycache__/ — precompiled Python files (can be ignored) These scripts implement the complete simulation workflow used for homogenization and pressure-loading tests. 3. pygalmesh/ This is the core part of the dataset.It contains all geometry generation, meshing, and simulation output for the three specimens. 3.1 Environment files Dockerfile, apptainer.def, docker-compose.yml 3.2 data/ Contains the full meshing and homogenization pipeline plus all simulation results.The main substructure is: data/ resources/ scripts/ 002-Special-Issue-2025-minimal/ <simulation scripts and outputs> Inside this directory you will find: Python scripts for segmentation, 3D reconstruction, slicing, mesh generation, and postprocessing Shell scripts for submitting cluster jobs JSON template files for meshing and simulation configuration Simulation results for all Specimen A, B, C, each subdivided into: 1-part (full specimen) 4-part (quarter models) pressure_experiment (pressure-based stiffness evaluation) Multiple subvolumes (e.g., subvolume_x81_y90) representing localized analysis regions 3.3 Simulation Output (per subvolume) Each subvolume directory contains: Chom.json — homogenized stiffness tensor E_moduli.json — directional Young’s moduli G_moduli.json — shear moduli linearelastic.py — simulation script for elastic analysis linearelastic_graphs.txt — tabular extraction of force–displacement behavior linearelastic_log.txt — solver log volume.npy — voxelized structural domain segmented_3D_volume.npy — full segmentation array (if present) write_e33_to_mesh.h5 / .xdmf — spatial distribution of E₃₃ written to the mesh vol.json — metadata describing the reconstructed volume metadata.json — simulation metadata (geometry size, voxel resolution, timestamps, etc.) config-*.json — configuration file specifying material parameters and boundary conditions ebody.out.* — log file from the HPC job scheduler Quarter-model (4-part) folders follow the same structure. 3.4 Pressure Experiment Simulation For each specimen, under: Specimen_X/pressure_experiment/JM-xx-yy-ad-{x|y}/ you will find: linearelastic_pressure_test.py — pressure loading simulation linearelastic_pressure_test_graphs.txt — pressure–deformation curves linearelastic_pressure_test_log.txt — solver output volume.npy — input geometry segmented_3D_volume.npy — reconstructed segmentation (if present) config-*.json, metadata.json — configuration and metadata These simulations estimate out-of-plane stiffness via pressure loading. Notes All XRM, DICOM, and raw mechanical testing files are not included in this Zenodo record. Every simulation dataset is self-contained and includes configuration, geometry, solver logs, and output tensors. Subvolume labels (e.g., subvolume_x81_y90) encode the extraction coordinates inside the 3D reconstruction. Mesh generation is performed using pygalmesh, and all simulations use DolfinX.