Crystal Plasticity Modeling of Fatigue Behavior in Polycrystalline Materials

Crystal plasticity modelling has emerged as a pivotal tool for understanding and predicting fatigue behaviour in engineering alloys. By representing individual grains with distinct crystallographic orientations and slip systems, crystal plasticity finite-element (CPFE) approaches capture localised stress and strain heterogeneities that drive crack initiation and early growth. The methodology couples constitutive laws for slip-system kinetics with representative volume elements (RVEs) or statistical volume elements (SVEs) to simulate cyclic loading at the microscale. Through these simulations, fatigue indicator parameters (FIPs)—such as accumulated plastic slip, energy dissipation or multiaxial fatigue criteria—are evaluated to forecast fatigue life and crack nucleation sites. Recent advances integrate data-driven techniques to tune material parameters, exploit high-performance computing for large-scale microstructural ensembles and employ non-local homogenisation to account for damage zone interactions. This multiscale framework not only enhances the fidelity of life predictions in polycrystalline steels, aluminium alloys and superalloys but also informs alloy design and processing routes by linking microstructural features—grain size, texture, inclusion characteristics—to macroscopic durability.

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Crystal Plasticity Modeling of Fatigue Behavior in Polycrystalline Materials publication trend

The graph below shows the total number of articles in crystal plasticity modeling of fatigue behavior in polycrystalline materials across all publications each year (not limited to Nature Index journals).

Technical terms

Crystal plasticity: A constitutive modelling framework that describes plastic deformation at the level of individual grains by resolving slip‐system activity and lattice rotation under applied loads.

Representative volume element (RVE): A statistically representative microstructural sample used in finite-element simulations to reflect the heterogeneity of a polycrystalline material.

Fatigue indicator parameter (FIP): A scalar metric derived from local stress–strain fields (for example, accumulated slip or energy dissipation) that correlates with fatigue crack initiation or early growth.

Kinematic hardening: A constitutive description of cyclic plasticity that captures the Bauschinger effect and mean stress relaxation by allowing the yield surface to translate in stress space during load reversal.

References

1. Defect engineering of fatigue-resistant steels by data-driven models. Engineering Applications of Artificial Intelligence (2023).
2. PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys. npj Computational Materials (2021).
3. Prediction of Fatigue Crack Initiation of 7075 Aluminum Alloy by Crystal Plasticity Simulation. Materials (2023).