Elastoplastic and Fatigue Behaviour of Metallic Materials Under Multiaxial Loading Conditions

Dear Colleagues,

The elastoplastic and fatigue behaviour of metallic materials under multiaxial loading is changing, driven by advances in characterization, modelling, and processing, which now enable direct mapping and intentional design of the microstructural mechanisms governing complex deformation paths. This Special Issue, “Elastoplastic and Fatigue Behaviour of Metallic Materials Under Multiaxial Loading Conditions”, seeks contributions that deepen our understanding of how material behaviour resulting from grain morphology, texture evolution, dynamic recrystallization, twinning activity, precipitate distributions, and dislocation structures controls the material’s constitutive response during non-proportional and cyclic loading. We particularly welcome studies that elucidate the role of texture-driven anisotropy in ratcheting behaviour, yield asymmetry, non-proportional hardening, and multiaxial fatigue crack initiation; studies that leverage advanced numerical strategies, such as viscoplastic self-consistent modelling, crystal plasticity, recrystallization kinetics, and slip–twin transition models, to predict multiaxial deformation and fatigue pathways; and investigations that capture process–structure–performance relationships in additively manufactured alloys, where melt-pool textures, porosity networks, and residual stresses fundamentally reshape multiaxial elastoplastic behaviour. In addition, we welcome contributions on alloy and thermomechanical design that focus on reducing anisotropy, enhancing microstructure stability, and improving fatigue resistance through strategic solute selection, controlled precipitation, or texture engineering.

We invite researchers in materials science, mechanical engineering, modelling, and manufacturing to contribute original research articles, reviews, and communications that strengthen the mechanism-informed foundations of multiaxial elastoplasticity and fatigue. We hope that this Special Issue will provide a unified, microstructure-sensitive framework for predicting and enhancing performance under complex loading paths.

We look forward to receiving your valuable contributions to this Special Issue.

Dr. Andrew Gryguć
Guest Editor

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