3D X‐ray Microtomography Volume Correlation to Study Fatigue Crack Growth

Limodin, Nathalie; Réthoré, Julien; Buffière, Jean‐Yves; Hild, François; Ludwig, Wolfgang; Rannou, Johann; Roux, Stéphane

doi:10.1002/adem.201000235

Cited by 16 publications

(10 citation statements)

References 40 publications

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“…For instance, 8-noded elements with tri-linear shape functions are considered (it is then referred to as C8-DIC [52] or XC8-DIC [54] when an enriched kinematics is implemented). This case is illustrated with the example of a fatigue crack growing in a cast iron specimen [53,54,55]. In the present case, cast-iron samples were selected to provide adequate (random) markers.…”

Section: Three Dimensional Analysesmentioning

confidence: 99%

“…We refer the interested reader to Ref. [53] for a more detailed discussion of the study, and we rather focus here on the DIC analysis. Last, the dissymmetry of the crack, and the severe constraints of the fatigue testing machine designed to fit in a tomograph, resulted in a loading that was not pure uniaxial tension.…”

Section: Three Dimensional Analysesmentioning

confidence: 99%

“…When the crack morphology is determined, X-FEM techniques allow for the evaluation of surface vs. bulk propagation features [51]. Global correlation techniques [52] were used recently to measure CODs [53]. Enriched kinematics are also implemented (i.e., it corresponds to eXtended Digital Image Correlation to measure 3D displacements, or X3D-DIC [54]).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Roux¹,

Réthoré²,

Hild³

2009

J. Phys. D: Appl. Phys.

210

132

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Abstract. Digital image correlation is a measurement technique that allows one to retrieve displacement fields "separating" two digital images of the same sample at different stages of loading. Because of its remarkable sensitivity, it is not only possible to detect cracks with sub-pixel opening, which would not be visible, but also to provide accurate estimates of stress intensity factors. For this purpose suitable tools have been devised to minimize the sensitivity to noise. Working with digital images allows the experimentalist to deal with a wide range of scales from atomistic to geophysical one with the same tools. Various examples are shown at different scales, as well as some recent extensions to three dimensional cracks based on X-ray Computed micro-tomographic images.

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Section: Three Dimensional Analysesmentioning

confidence: 99%

Section: Three Dimensional Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Roux¹,

Réthoré²,

Hild³

2009

J. Phys. D: Appl. Phys.

210

132

View full text Add to dashboard Cite

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“…Some of the previous aspects can also be studied thanks to computed tomography and in situ tests when resorting to digital volume correlation [11]. In particular, stress intensity factors along the crack front and crack opening displacement maps allowed the same authors to analyze the closure conditions in a fatigue experiment on nodular graphite cast iron [12], and its influence of the propagation conditions [13].…”

Section: Introductionmentioning

confidence: 99%

Identification of a crack propagation law by digital image correlation

Mathieu

Hild

Roux

2012

International Journal of Fatigue

Self Cite

120

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It is proposed to use digital image correlation (DIC) to identify parameters governing crack propagation of commercially pure titanium. To achieve this goal, crack tip location, stress intensity factor, T -stress and plastic zone size are sought. Most of the DIC approaches are based upon local analyses of displacements, and their subsequent projection onto a set of mechanically relevant fields. It is proposed to perform these two sequential steps in a unique (and integrated) way, and to compare the results with a global approach to DIC with subsequent post-processing. A priori performances of two global approaches are compared, and a propagation law is identified form the series of raw images of a fatigue test on commercially pure titanium with the integrated approach that yields better results.

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“…In a fracture mechanics experiment employing DVC, Limodin et al 84 evaluated SIFs and CODs in 3D with in situ DVC during fatigue tests of nodular graphite cast iron specimens. Random dispersion of graphite nodules F I G U R E 1 2 Plastic zone and digital image correlation (DIC) equivalent strain map around a crack tip on the surface of a middle tension (MT) fatigue specimen in the unloaded state.…”

Section: Crack Tip Strain Fields: Sifsmentioning

confidence: 99%

The application of digital image correlation (DIC) in fatigue experimentation: A review

Hebert

Khonsari

2022

Fatigue Fract Eng Mat Struct

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In recent years, the use of digital image correlation (DIC) in fatigue experiments has become widespread. It is estimated that ~1000 published works exist that outline fatigue experiments in which DIC is employed for displacement and strain measurement. Of these, ~900 were published in the last 10 years. DIC is a noncontact method that uses a series of digital images to calculate full‐field strains on the surface of an object, planer or curved. Typical commercial DIC systems compute strains at resolutions high enough to trace hysteresis loops in metals. Properly operated open‐source systems can do the same. The DIC method is applied not only on optically based digital images but also on digital images from ultra‐high resolution (ultra‐HR) microscopes like a scanning electron microscope (SEM) or on volumetric images from computed tomography (CT) scans. In fatigue analysis, DIC provides much more information than that of an extensometer. Full‐field strains from DIC can be acquired at different scales (i.e., microscale, macroscale, and nanoscale) and can be related to items such as microstructural features, interacting surfaces (e.g., fretting), fatigue crack growth phenomenon, and distinct forms of energy. Because fatigue is a highly complex, strain‐induced process, the DIC method is and will be an important tool for current and future research in fatigue. This review begins with an overview of the history and fundamentals of DIC including an evaluation of the overall performance and accuracy of the method. Publications selected for review are then presented and discussed. Remarks about the present state‐of‐the‐art and an outlook for future work to be done are then provided.

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3D X‐ray Microtomography Volume Correlation to Study Fatigue Crack Growth

Cited by 16 publications

References 40 publications

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks

Identification of a crack propagation law by digital image correlation

The application of digital image correlation (DIC) in fatigue experimentation: A review

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