Simulation of Short Fatigue Crack Propagation in a 3D Experimental Microstructure

Proudhon, Henry; Li, Jingyuan; Ludwig, Wolfgang; Roos, Arjen; Forest, Samuel

doi:10.1002/adem.201600721

Cited by 32 publications

(17 citation statements)

References 46 publications

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“…On the contrary, most experimental approaches usually rely on large experimental samples that may be considered RVEs. Some experimental approaches [21,22] have considered SVE by restricting the active volume with the introduction of an artificial crack. However, these analyses do not describe the incidence of small volumes on the natural nucleation of cracks.…”

Section: Introductionmentioning

confidence: 99%

A computational and experimental comparison on the nucleation of fatigue cracks in statistical volume elements

Kakandar

Barrios

Michler

et al. 2020

International Journal of Fatigue

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Section: Introductionmentioning

confidence: 99%

A computational and experimental comparison on the nucleation of fatigue cracks in statistical volume elements

Kakandar

Barrios

Michler

et al. 2020

International Journal of Fatigue

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“…The model showed convergence to linear elastic fracture mechanics, but a direct comparison with 3D data was not performed due to the lack of experimental data. Li et al (2014) and Proudhon et al (2017) were among the first in trying to reproduce an experimentally observed SC utilizing a FIP as the driving force for the crack advancement. Data was collected utilizing a technique known as 3D x-ray tomography for small crack and microstructure (3DXTSM, Herbig et al, 2011), which provides high-resolution images of SCs propagating into a polycrystalline aggregate.…”

Section: Introductionmentioning

confidence: 99%

Predicting the 3D fatigue crack growth rate of small cracks using multimodal data via Bayesian networks: In-situ experiments and crystal plasticity simulations

Rovinelli

Sangid

Proudhon

et al. 2018

Journal of the Mechanics and Physics of Solids

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Small crack (SC) propagation accounts for most of the fatigue life of engineering structures subject to high cycle fatigue loading conditions. Determining the fatigue crack growth rate of SCs propagating into polycrystalline engineering alloys is critical to improving fatigue life predictions, thus lowering cost and increasing safety. In this work, cycle-by-cycle data of a SC propagating in a beta metastable titanium alloy is available via phase and diffraction contrast tomography. Crystal plasticity simulations are used to supplement experimental data regarding the micromechanical fields ahead of the crack tip. Experimental and numerical results are combined into a multimodal dataset and sampled utilizing a non-local data mining procedure. Furthermore, to capture the propensity of body-centered cubic metals to deform according to the pencil-glide model, a non-local driving force is postulated. The proposed driving force serves as the basis to construct a data-driven probabilistic SC propagation framework using Bayesian networks as building blocks. The spatial correlation between the postulated driving force and experimental observations is obtained by analyzing the results of the SC propagation Bayesian framework. Results show that the above correlation increases proportionally to the distance from the crack front until the edge of the plastic zone. Moreover, the predictions of the propagation framework show good agreement with experimental observations. Finally, we studied the interaction of a SC with grain boundaries (GBs) utilizing various slip transmission criteria, revealing the tendency of a SC to cross a GB by propagating along the slip directions minimizing the residual Burgers vector with the GB.

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“…In other studies, CP was combined with adaptive remeshing to achieve either straight or zigzag paths based on single-or double-slip behaviour of the material [27][28][29]. The damage indicator used in these papers was a combination of normal stress, resolved shear stress, and shear strain of each slip system.…”

Section: Introductionmentioning

confidence: 99%

Modelling short crack propagation in a single crystal nickel-based superalloy using crystal plasticity and XFEM

Zhang

Baxevanakis

et al. 2020

International Journal of Fatigue

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Short cracks appearing under fatigue conditions are of major concern for safety-critical components. In this paper, a computational approach based on crystal plasticity and extended finite element method is developed to predict the slip-controlled short crack growth in a single crystal nickel-based superalloy. The onset of fracture is controlled by cumulative shear strain of individual slip system and the direction of crack growth follows crystallographic slip plane. Simulations are carried out for [111] orientation at 24 °C and 650 °C, and the results confirm the capability of this approach in predicting the tortuous crack path and irregular propagation rate.

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Simulation of Short Fatigue Crack Propagation in a 3D Experimental Microstructure

Cited by 32 publications

References 46 publications

A computational and experimental comparison on the nucleation of fatigue cracks in statistical volume elements

A computational and experimental comparison on the nucleation of fatigue cracks in statistical volume elements

Predicting the 3D fatigue crack growth rate of small cracks using multimodal data via Bayesian networks: In-situ experiments and crystal plasticity simulations

Modelling short crack propagation in a single crystal nickel-based superalloy using crystal plasticity and XFEM

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