On determination of material parameters in cyclic plasticity

In this study, the popular Chaboche-Rousselier elastoplastic constitutive equation is analyzed. Special attention is paid to the material parameter evaluation problem. Several model formulations for DP1000 steel have been calibrated. The influence of the step size assumed for the numerical computations on the solution of the parameter identification problem is demonstrated. Furthermore, it is shown that careful analysis of the model equations leads to derivation of several constraint conditions on the material parameter values. Application of these conditions during the material parameter identification process results in simplification of the elast squares optimization task. Moreover, a new material parameter identification algorithm and a generalization of another one, previously proposed in the literature, are presented. The new algorithm is based on the analytically derived uniaxial process equations. The two aforementioned algorithms are compared with other identification methods, in particular with those utilizing the radial return mapping algorithm.

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Publication Details

Journal
Acta Mechanica
Published
2025-06-17
DOI
https://doi.org/10.1007/s00707-025-04395-6
Primary Topic
Material Properties and Failure Mechanisms
Type
article
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article

On determination of material parameters in cyclic plasticity

Cyprian Suchocki
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Acta Mechanica
Material Properties and Failure Mechanisms
article

On determination of material parameters in cyclic plasticity

Cyprian Suchocki
article en

Abstract

In this study, the popular Chaboche-Rousselier elastoplastic constitutive equation is analyzed. Special attention is paid to the material parameter evaluation problem. Several model formulations for DP1000 steel have been calibrated. The influence of the step size assumed for the numerical computations on the solution of the parameter identification problem is demonstrated. Furthermore, it is shown that careful analysis of the model equations leads to derivation of several constraint conditions on the material parameter values. Application of these conditions during the material parameter identification process results in simplification of the elast squares optimization task. Moreover, a new material parameter identification algorithm and a generalization of another one, previously proposed in the literature, are presented. The new algorithm is based on the analytically derived uniaxial process equations. The two aforementioned algorithms are compared with other identification methods, in particular with those utilizing the radial return mapping algorithm.

Acta MechanicaVol. 236(8)
Warsaw University of Technology (PL)
Openalex Percentile: Top 90%
Material Properties and Failure Mechanisms
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On determination of material parameters in cyclic plasticity — Cyprian Suchocki · Acta Mechanica (2025) | TGRS Research Map | TGRS