Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences· 2026Q1
Kinetic view on dynamic plasticity of crystalline solids
- 1citations
- Q1SCImago
- 2026year
Short summary
A new discrete statistical framework based on polytopal cell complexes (PCCs) models crystalline plasticity as probabilistic microslips, capturing emergent length/time scales and a minimum representative volume.
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Key points
- Proposes a discrete statistical framework for crystalline plasticity using polytopal cell complexes (PCCs).
- Models elementary plastic events as probabilistic microslips on crystallographically admissible face-edge pairs.
- Captures emergent features like strain-rate sensitivity, minimum representative volume, and characteristic relaxation times.
- Provides an intrinsic mapping between stochastic evolution and physical time.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Plastic deformation in crystalline solids arises from discrete microstructural rearrangements driven by energy exchange and crystallographic constraints. Conventional continuum plasticity models, even when enriched with crystal anisotropy, rely on prescribed flow rules and struggle to represent the emergence of internal length and time scales during the early stages of plastic flow. Here, we propose a fully discrete statistical framework for crystalline plasticity based on polytopal cell complexes (PCCs), in which elementary plastic events are represented as probabilistic microslips defined on crystallographically admissible face–edge pairs. The framework captures several physically interpretable features associated with non-equilibrium plastic flow, including strain-rate sensitivity, stress-dependent activation of slip systems, discrete activation spectra arising from crystallographic topology and the appearance of a minimum representative volume (MRV) for statistically stable plastic activity. Characteristic relaxation times (CRTs) and effective deformation rates arise naturally from the dynamics of internal energy dissipation, providing an intrinsic mapping between stochastic evolution and physical time. While the present study is restricted to illustrative simulations of face-centred cubic (FCC) single crystals under relatively simple loading conditions, the results demonstrate the potential of the proposed discrete framework for mesoscale investigations of crystallographically constrained stochastic plasticity.
The authors' abstract, as published at the source. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, 2026 · DOI ↗
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Field: Mechanics of Materials
Mechanics of MaterialsEngineering