A scientific benchmark for elasto-plastic constitutive modeling - Part I: micro- and macroscopic experimental data set and benchmark problem

Abstract

Abstract: An accurate and diverse set of experimental data is essential for characterizing material behavior across different length scales and for calibrating the respective constitutive models. An independent validation experiment, the MUC-Test, is presented to validate such constitutive models. The benchmark dataset provides raw experimental data that serves as the basis for calibrating constitutive models of varying complexity. The material investigated is a dual-phase steel (DP800HHE). The conducted microscale experiments investigate the material properties at the grain level. These experiments include nanoindentation, electron backscatter diffraction, and in-situ synchrotron measurements to capture the material’s microstructural behavior. These data serve as the basis for generating representative volume elements and for phase-specific calibration of the crystal plasticity models. On the macroscale, a wide range of experiments has been conducted, including tensile, tension-compression, plane-strain, shear, layer-compression, and cyclic tensile tests. This data can be used to calibrate flow curves and yield locus curves. Part I of this benchmark paper series details the experiments and provides data for calibrating both microscopic and macroscopic models. It also introduces the benchmark problem based on the MUC-Test for validation of these models. Dataset: https://zenodo.org/records/18431261