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| Hauptseite > Publications database > A scientific benchmark for elasto-plastic constitutive modeling - Part I: micro- and macroscopic experimental data set and benchmark problem |
| Hauptseite > Publications database > A scientific benchmark for elasto-plastic constitutive modeling - Part I: micro- and macroscopic experimental data set and benchmark problem |
| Journal Article | IMPULSE-2026-00118 |
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2026
Springer
Paris [u.a.]
Please use a persistent id in citations: doi:10.1007/s12289-026-02026-6
Abstract: An accurate and diverse set of experimental data is essential for characterizing material behavior across differentlength 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 thebasis 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 includenanoindentation, electron backscatter diffraction, and in-situ synchrotron measurements to capture the material’s microstructuralbehavior. These data serve as the basis for generating representative volume elements and for phase-specific calibrationof 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 flowcurves and yield locus curves. Part I of this benchmark paper series details the experiments and provides data for calibratingboth microscopic and macroscopic models. It also introduces the benchmark problem based on the MUC-Test for validationof these models.
Keyword(s): Engineering, Industrial Materials and Processing (1st) ; Materials Science (2nd)
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