Consistent treatment of ageing-time evolution in McCormick type material models

This work enhances conventional constitutive models for dynamic strain ageing (DSA) based on McCormick’s ageing-time evolution, which incorrectly predicts continuous hardening even within loading stages without plastic flow. An adapted evolution equation is proposed that ties ageing-time progression to the yield surface, ensuring that DSA develops only when dislocations are energetically inclined to glide. To implement such a model consistently, the classical predictor–corrector scheme is revised, and two alternative return-mapping algorithms are established to ensure robust classification of elastic, pseudo-elastic, and plastic states. Numerical examples and experimental data demonstrate that both approaches maintain the predictive capability of the original model while ensuring a consistent and physically meaningful evolution of internal variables.

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Publication Details

Journal
International Journal of Solids and Structures
Published
2026-04-25
DOI
https://doi.org/10.1016/j.ijsolstr.2026.114030
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Consistent treatment of ageing-time evolution in McCormick type material models

Andreas Menzel, Lars Rose
International Journal of Solids and Structures
Metal Forming Simulation Techniques
article

Consistent treatment of ageing-time evolution in McCormick type material models

Andreas Menzel, Lars Rose
article en

Abstract

This work enhances conventional constitutive models for dynamic strain ageing (DSA) based on McCormick’s ageing-time evolution, which incorrectly predicts continuous hardening even within loading stages without plastic flow. An adapted evolution equation is proposed that ties ageing-time progression to the yield surface, ensuring that DSA develops only when dislocations are energetically inclined to glide. To implement such a model consistently, the classical predictor–corrector scheme is revised, and two alternative return-mapping algorithms are established to ensure robust classification of elastic, pseudo-elastic, and plastic states. Numerical examples and experimental data demonstrate that both approaches maintain the predictive capability of the original model while ensuring a consistent and physically meaningful evolution of internal variables.

International Journal of Solids and StructuresVol. 337
Lund University (SE), TU Dortmund University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 18%
Metal Forming Simulation Techniques
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