Short and long fatigue crack growth: A unified model

Navarro, A.; Rios, E. R. de los

doi:10.1080/01418618808204496

Cited by 236 publications

(112 citation statements)

References 35 publications

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“…For the sake of completeness, the Navarro and de los Rios (NR) microstructural model for short crack fatigue growth assessment is briefly described in this section, although a general and detailed description of the model can be found in [9][10][11].…”

Section: Micromechanical Model For Short Crack Growthmentioning

confidence: 99%

“…Larrosa) High Cycle Fatigue (HCF), where micro-crack initiation and propagation involves about 90% of the component's total life, among other cases. Hobson [6], Chan and Lankford [7], de los Rios et al [8], Navarro and de los Rios [9][10][11] and Hussain et al [12], have presented pioneering models to tackle the short crack growth behaviour of plain specimens. However, in-service mechanical parts and structures present stress concentrators of different nature.…”

Section: Introductionmentioning

confidence: 99%

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Application of the Microstructural Finite Element Alternating Method to assess the impact of specimen size and distributions of contact/residual stress fields on fatigue strength

Larrosa

Chaves

Navarro

et al. 2017

Computers & Structures

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Section: Micromechanical Model For Short Crack Growthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of the Microstructural Finite Element Alternating Method to assess the impact of specimen size and distributions of contact/residual stress fields on fatigue strength

Larrosa

Chaves

Navarro

et al. 2017

Computers & Structures

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“…Two of the most influential variables governing the rate of small crack propagation are the distance of the crack to the nearest grain boundary (GB) along the direction of crack propagation (GB dist ) and the character of the GB imposing the barrier to crack growth. [28][29][30][31] The GB character is not investigated in this present work, as the crack is confined to a small sample of grains and does not cross a statistically significant number of GBs to employ a correlation analysis. To accurately predict the small crack propagation direction and rate, the aforementioned micromechanical and microstructure variables are considered in a semi-supervised machine learning framework to identify correlations via two distinct BNs.…”

Section: Introductionmentioning

confidence: 99%

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

Rovinelli¹,

Sangid²,

Proudhon³

et al. 2018

npj Comput Mater

152

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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 the direction and speed of crack advancement, have not yet been determined. In this work, a new approach to identify the microstructurally small fatigue crack driving force is presented. Bayesian network and machine learning techniques are utilized to identify relevant micromechanical and microstructural variables that influence the direction and rate of the fatigue crack propagation. A multimodal dataset, combining results from a high-resolution 4D experiment of a small crack propagating in situ within a polycrystalline aggregate and crystal plasticity simulations, is used to provide training data. The relevant variables form the basis for analytical expressions thus representing the small crack driving force in terms of a direction and a rate equation. The ability of the proposed expressions to capture the observed experimental behavior is quantified and compared to the results directly from the Bayesian network and from fatigue metrics that are common in the literature. Results indicate that the direction of small crack propagation can be reliably predicted using the proposed analytical model and compares more favorably than other fatigue metrics.

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“…The existing models for the interaction between short fatigue cracks and GBs remain relatively macroscopic, even if the most advanced ones [67][68][69] are based on the application of distributed dislocation models. The initial Tanaka [67] model was extended later by Tanaka et al [68] to model statistical characteristics of the propagation of small fatigue cracks.…”

Section: Fatigue Cracks and Grain Boundaries (A) Introductory Commentsmentioning

confidence: 99%

Crossing grain boundaries in metals by slip bands, cleavage and fatigue cracks

Pineau

2015

Phil. Trans. R. Soc. A.

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The size and the character (low and large angle, special boundaries, tilt and twist boundaries, twins) of the grain boundaries (GBs) in polycrystalline materials influence their strength and their fracture toughness. Recent studies devoted to nanocrystalline (NC) materials have shown a deviation from the Hall-Petch law. Special GBs formed by Σ3 twins in face-centred cubic metals are also known to have a strong effect on the mechanical behaviour of these metals, in particular their work-hardening rate. Grain orientation influences also crack path, the fracture toughness of body-centred cubic (BCC) metals and the fatigue crack growth rate of microstructurally short cracks. This paper deals both with slip transfer at GBs and with the interactions between propagating cracks with GBs. In the analysis of slip transfer, the emphasis is placed on twin boundaries (TBs) for which the dislocation reactions during slip transfer are analysed theoretically, experimentally and using the results of atomic molecular simulations published in the literature. It is shown that in a number of situations this transfer leads to a normal motion of the TB owing to the displacement of partial dislocations along the TB. This motion can generate a de-twinning effect observed in particular in NC metals. Crack propagation across GBs is also considered. It is shown that cleavage crack path behaviour in BCC metals is largely dependent on the twist component of the GBs. A mechanism for the propagation of these twisted cracks involving a segmentation of the crack front and the existence of intergranular parts is discussed and verified for a pressure vessel steel. A similar segmentation seems to occur for short fatigue cracks although, quite surprisingly, this crossing mechanism for fatigue cracks does not seem

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Short and long fatigue crack growth: A unified model

Cited by 236 publications

References 35 publications

Application of the Microstructural Finite Element Alternating Method to assess the impact of specimen size and distributions of contact/residual stress fields on fatigue strength

Application of the Microstructural Finite Element Alternating Method to assess the impact of specimen size and distributions of contact/residual stress fields on fatigue strength

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

Crossing grain boundaries in metals by slip bands, cleavage and fatigue cracks

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