Journal Article

IMPULSE-2026-00118

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A scientific benchmark for elasto-plastic constitutive modeling - Part I: micro- and macroscopic experimental data set and benchmark problem

Maier, L. (Corresponding author) ; Walz, E.MLZ* ; Hofmann, M.MLZ* ; Rebelo-Kornmeier, J. ; Juan, R. ; Lian, J. ; Maawad, E.MLZ* ; Volk, W. ; Hartmann, C.

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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Contributing Institute(s):

1. STRESSI (STRESSI)
2. DEVA (DEVA)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2026

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DEAL Springer ; DEAL Springer ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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