Department of Civil and Environmental Engineering, University of Brasilia, Campus Universitário Darcy Ribeiro, SG12, Asa Norte, 70910-900, Brasilia, Brazil
Michéle Dal Toé Casagrande
Department of Civil and Environmental Engineering, University of Brasilia, Campus Universitário Darcy Ribeiro, SG12, Asa Norte, 70910-900, Brasilia, Brazil
André Luís Brasil Cavalcante
Department of Civil and Environmental Engineering, University of Brasilia, Campus Universitário Darcy Ribeiro, SG12, Asa Norte, 70910-900, Brasilia, Brazil
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The paper addresses synthetic dataset challenges in nonlinear constitutive modeling of soils, providing two datasets: one with 2000 soil types, 40 test conditions each (160 000 triaxial tests), and a second with 2048 soil types, 42 test conditions each (172 032 triaxial tests). Each dataset is a 4000×10 matrix applicable for multivariate forecasting and geotechnical simulations. In addition, a new Python code is introduced, empowering researchers to leverage Python packages for NorSand analyses.
The paper addresses synthetic dataset challenges in nonlinear constitutive modeling of soils,...
