Microstructure-sensitive HCF and VHCF simulations

Przybyla, Craig; Musinski, William D.; Castelluccio, Gustavo M.; McDowell, David L.

doi:10.1016/j.ijfatigue.2012.09.014

Cited by 77 publications

(41 citation statements)

References 132 publications

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“…Such a relation holds in the case of localised plasticity and supports the statistical assessment of fatigue resistance of different microstructures using FIPs [60]. FIPs have also been used to quantify the influence of twins in cyclic plastic shear strain localisation and crack formation [61], suggesting that slip intensification could promote early crack formation.…”

Section: Macroscopic/top-down Modelling Approachessupporting

confidence: 61%

“…Typically, this implies a crack length of less than three grains/phase domains in a polycrystalline and/or multi-phase alloy system [59]. Some of the potentially important microstructure attributes that influence fatigue crack formation include, at the mesoscale, microstructure unit size, morphology, and crystallographic orientation [59][60][61][62][63]. At smaller length scales, the development of lattice curvature, dislocation substructures, and local grain boundary (GB) structures have profound effects on cyclic deformation and fatigue.…”

Section: Role Of Microstructure In Multistage Fatiguementioning

confidence: 99%

See 1 more Smart Citation

Failure of metals II: Fatigue

Pineau¹,

McDowell²,

Busso³

et al. 2016

Acta Materialia

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254

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Section: Macroscopic/top-down Modelling Approachessupporting

confidence: 61%

Section: Role Of Microstructure In Multistage Fatiguementioning

confidence: 99%

Failure of metals II: Fatigue

Pineau¹,

McDowell²,

Busso³

et al. 2016

Acta Materialia

Self Cite

254

View full text Add to dashboard Cite

“…In [52], extreme value hotspots that determine the low probability of failure in HCF are introduced which relate to weighting factors on the FIPs in spatial correlations between factors thought to drive fatigue (eg inclusions, grain size, orientation combination). This approach has been extended to include short crack growth [53,54] where, with cognisance of the extreme statistics, it is shown to provide very good agreement with a range of experimental fatigue data for two Ni alloys.…”

Section: Nucleation Criteria and Microcracksmentioning

confidence: 98%

“…A range of FIPs was considered based on variations of accumulated slip, energy dissipation, and tensile stress, implemented in a non-local formalism. McDowell [52][53][54] has pioneered FIPs because of the complexity of cyclic microplasticity and damage formation in HCF, since they provide a computable parameter with which differing microstructures may be ranked in fatigue. In [52], extreme value hotspots that determine the low probability of failure in HCF are introduced which relate to weighting factors on the FIPs in spatial correlations between factors thought to drive fatigue (eg inclusions, grain size, orientation combination).…”

Section: Nucleation Criteria and Microcracksmentioning

confidence: 99%

Fatigue crack nucleation: Mechanistic modelling across the length scales

Dunne

2014

Current Opinion in Solid State and Materials Science

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This paper presents an assessment of recent literature on the mechanistic understanding of fatigue crack nucleation and the associated modelling techniques employed. In particular, the important roles of (a) slip localisation and persistent slip band formation, (b) grain boundaries, slip transfer and interfaces, (c) microtexture and twins, and (d) nucleation criteria and microcracks are addressed in the context of the three key modelling techniques of crystal plasticity (CP), discrete dislocation (DD) plasticity and molecular dynamics (MD) where appropriate. In addition, the need for computational fatigue crack nucleation methodologies which incorporate mechanistic understanding is addressed. Key challenges identified include (i) the overall need for multiscale models for fatigue crack nucleation which are continuum-based but mechanistically informed; (ii) full (3D) crystal slip models to capture slip localisation at a DD level; (iii) MD modelling methodologies for slip transfer to inform DD models; and (iv) rigorously validated dislocation structure models at the DD and CP levels.

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“…where ∆γ k and σ k n stand for the maximum plastic shear strain and the maximum normal stress perpendicular to the slip plane of the k slip system and σ y is the yield stress. This parameter was originally develop to rationalize the fatigue behavior of laboratory specimens Socie, 1988, 1989) but it was used as the driving force to nucleate a crack in both Low Cycle Fatigue (LCF) and High Cycle Fatigue (HCF) simulations based on CHP (Bennett and McDowell, 2003;Shenoy et al, 2007;Musinski and McDowell, 2012;Przybyla et al, 2013;McDowell, 2013, 2014).…”

Section: Fatigue Lifementioning

confidence: 99%

Computational Homogenization of Polycrystals

Segurado

Lebensohn

LLorca

2018

Advances in Applied Mechanics

111

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This paper reviews the current state-of-the-art in the simulation of the mechanical behavior of polycrystalline materials by means of computational homogenization. The key ingredients of this modelling strategy are presented in detail starting with the parameters needed to describe polycrystalline microstructures and the digital representation of such microstructures in a suitable format to perform computational homogenization. The different crystal plasticity frameworks that can describe the physical mechanisms of deformation in single crystals (dislocation slip and twinning) at the microscopic level are presented next. This is followed by the description of computational homogenization methods based on mean-field approximations by means of the viscoplastic self-consistent approach, or on the full-field simulation of the mechanical response of a representative polycrystalline volume element by means of the finite element method or the fast Fourier transform-based method. Multiscale frameworks based on the combination of mean-field homogenization and the finite element method are presented next to model the plastic deformation of polycrystalline specimens of arbitrary geometry under complex mechanical loading. Examples of application to predict the strength, fatigue life, damage, and texture evolution under different conditions are presented to illustrate the capabilities of the different models. Finally, current challenges and future research directions in this field are summarized.

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Microstructure-sensitive HCF and VHCF simulations

Cited by 77 publications

References 132 publications

Failure of metals II: Fatigue

Failure of metals II: Fatigue

Fatigue crack nucleation: Mechanistic modelling across the length scales

Computational Homogenization of Polycrystals

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