Abaqus ODB → ML-Ready Grid CSV
The post-processing half of a surrogate-model pipeline. Takes a folder of completed Abaqus FEA cases (typically produced by the abaqus-lhs-batch-dataset skill) and produces two flat CSVs ready for numpy.loadtxt / pandas.read_csv / scikit-learn:
X_amplitude.csv—sample_id, amplitude_0000, amplitude_0001, ..., amplitude_(D-1)— the input design vectorsY_grid_uz.csv—sample_id, uz_0000, uz_0001, ..., uz_(N²-1)— the resulting deforma
[Description truncada. Veja o README completo no GitHub.]