Machine learning for alloys

GLW Hart, T Mueller, C Toher, S Curtarolo - Nature Reviews Materials, 2021 - nature.com
Alloy modelling has a history of machine-learning-like approaches, preceding the tide of
data-science-inspired work. The dawn of computational databases has made the integration …

A review of FE-FFT-based two-scale methods for computational modeling of microstructure evolution and macroscopic material behavior

C Gierden, J Kochmann, J Waimann… - … Methods in Engineering, 2022 - Springer
The overall, macroscopic constitutive behavior of most materials of technological importance
such as fiber-reinforced composites or polycrystals is very much influenced by the …

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

A Rovinelli, MD Sangid, H Proudhon… - npj Computational …, 2018 - nature.com
The propagation of small cracks contributes to the majority of the fatigue lifetime for structural
components. Despite significant interest, criteria for the growth of small cracks, in terms of …

Microstructural fracture mechanics: Stored energy density at fatigue cracks

Y Xu, W Wan, FPE Dunne - Journal of the Mechanics and Physics of Solids, 2021 - Elsevier
This paper addresses the mechanistic drivers of short fatigue crack growth using theory,
computational crystal plasticity and experimental test and characterisation. The asymptotic …

Materials informatics for mechanical deformation: A review of applications and challenges

K Frydrych, K Karimi, M Pecelerowicz, R Alvarez… - Materials, 2021 - mdpi.com
In the design and development of novel materials that have excellent mechanical properties,
classification and regression methods have been diversely used across mechanical …

Examining metrics for fatigue life predictions of additively manufactured IN718 via crystal plasticity modeling including the role of simulation volume and …

V Prithivirajan, MD Sangid - Materials Science and Engineering: A, 2020 - Elsevier
There is a growing demand for the development of precise, accurate, and industrially
applicable predictive models for evaluating the fatigue performance of additively …

Overview of phase-field models for fatigue fracture in a unified framework

M Kalina, T Schneider, J Brummund… - Engineering Fracture …, 2023 - Elsevier
The phase-field method has gained much attention as a novel method to simulate fracture
due to its straightforward way allowing to cover crack initiation and propagation without …

Spectral methods for full-field micromechanical modelling of polycrystalline materials

RA Lebensohn, AD Rollett - Computational Materials Science, 2020 - Elsevier
Modelling the mechanical behavior of polycrystalline materials based on their evolving
microstructure and the anisotropic properties of their constituent single crystal grains is …

Mechanistic fatigue in Ni-based superalloy single crystals: A study of crack paths and growth rates

V Karamitros, DW MacLachlan, FPE Dunne - Journal of the Mechanics and …, 2022 - Elsevier
The mechanistic basis of microstructurally short crack paths and growth rates is investigated
in Ni-based superalloy single crystals using Crystal Plasticity (CP) and eXtended Finite …

Direct measurements of slip irreversibility in a nickel-based superalloy using high resolution digital image correlation

JC Stinville, PG Callahan, MA Charpagne, MP Echlin… - Acta Materialia, 2020 - Elsevier
Fatigue crack nucleation in crystalline materials typically develops due to highly localized
cyclic slip. During a fatigue cycle, reverse slip differs locally from slip in the forward direction …