A scientific benchmark for elasto-plastic constitutive modeling - Part II: blind predictions, calibration strategies, and benchmark results
International Journal of Material Forming, vol. 19
Abstract
Abstract This paper presents the second part of the NUMISHEET 2025 scientific benchmark on elasto-plastic constitutive modeling. The study builds on the experimental dataset and benchmark problem definition introduced in Part I. It evaluates 19 blind prediction results submitted by 17 international teams from academia and industry. The benchmark task included calibrating constitutive models for the dual-phase steel DP800HHE, exclusively based on Part I data. The calibrated constitutive models were used to simulate the validation experiment MUC-Test, without prior access to the experimental validation results. The submitted solutions span a broad spectrum of modeling strategies, ranging from different phenomenological hardening models and yield locus formulations to crystal plasticity approaches. A systematic comparison with experimental ground truth data (comprising punch force-displacement curves and local strain distributions) was conducted using normalized error metrics. The results of this study reveal the characteristic strengths and limitations of different modeling approaches. They also highlight the role of anisotropy and hardening law selection. Furthermore, they demonstrate the sensitivity of predictions to calibration strategies. Providing an open dataset, a transparent evaluation methodology, and a comprehensive discussion of outcomes signifies an advancement in reproducibility and objectivity in constitutive modeling. This benchmark serves as a basis for further validation, comparison, and development of constitutive models. Dataset https://zenodo.org/records/18431261
Authors 13
-
Lorenz MAIER corresponding
Technical University of Munich
Affiliation as printed
Chair of Metal Forming and Casting, Technical University of Munich, Garching near Munich, Germany
-
Erik Walz corresponding
Technical University of Munich
Affiliation as printed
Research Neutron Source Heinz Maier-Leibnitz, Technical University of Munich, Garching near Munich, Germany
-
M. Hofmann corresponding
Technical University of Munich
Affiliation as printed
Research Neutron Source Heinz Maier-Leibnitz, Technical University of Munich, Garching near Munich, Germany
-
Technical University of Munich
Affiliation as printed
Research Neutron Source Heinz Maier-Leibnitz , Technical University of Munich , Lichtenbergstreet 1 , Garching near Munich 85748 , Germany
-
Rongfei Juan corresponding
Affiliation as printed
Materials to Products, Aalto University, Espoo, Finland
-
Affiliation as printed
Chair of Forming Technologies and Institute of Metal Forming, RWTH Aachen University, Aachen, Germany
-
Youngung Jeong corresponding
Affiliation as printed
Department of Materials Science and Metallurgy, Changwon National University, Changwon-si, South Korea
-
Bohye Jeon corresponding
Affiliation as printed
Department of Materials Convergence System Engineering, Changwon National University, Changwon-si, South Korea
-
Martin Milch corresponding
Affiliation as printed
AutoForm Engineering Deutschland GmbH, Dortmund, Germany
-
Alper Güner corresponding
Affiliation as printed
AutoForm Engineering Deutschland GmbH, Dortmund, Germany
-
Emad Maawad corresponding
Affiliation as printed
Institute of Materials Physics, Helmholtz-Zentrum Hereon, Geesthacht, Germany
-
Wolfram Volk corresponding
Technical University of Munich
Affiliation as printed
Chair of Metal Forming and Casting, Technical University of Munich, Garching near Munich, Germany
-
Christoph Hartmann corresponding
Technical University of Munich
Affiliation as printed
Chair of Metal Forming and Casting, Technical University of Munich, Garching near Munich, Germany
Cited by 2 stored of 3
2 results
No patents citing this paper on Lens.org (checked 2026-10-06).