Evaluating mixed-mode stress intensity factors from full-field displacement fields obtained by optical methods

Yoneyama, Satoru; Ogawa, Takeshi; Kobayashi, Yosuke

doi:10.1016/j.engfracmech.2006.08.004

Cited by 150 publications

(109 citation statements)

References 18 publications

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“…A measurement result is shown in Figure 3. The displacement field is subsequently post-processed (via least squares fit) by using reference fields, namely, Williams' series relevant for small scale yielding when the latter region is excluded from the analysis, by resorting to a least squares technique [1,21,22,5]. These fields u = u x + iu y take the following expression in the crack frame (crack tip at the origin, and crack path along the negative x axis) resorting to the complex plane, z = r exp(iθ)…”

Section: Post-processing Approachmentioning

confidence: 99%

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Identification of a crack propagation law by digital image correlation

Mathieu

Hild

Roux

2012

International Journal of Fatigue

119

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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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Section: Post-processing Approachmentioning

confidence: 99%

“…Most of the approaches to measure an SIF are based on post-processing the measured displacement fields to extract stress intensity factors [20,21,22]. Least squares minimization is generally used when the measured data are projected onto reference (i.e.…”

Section: Introductionmentioning

confidence: 99%

Identification of a crack propagation law by digital image correlation

Mathieu

Hild

Roux

2012

International Journal of Fatigue

119

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“…Accordingly, the tool can be used under small scale yielding (SSY) conditions. For other full-field techniques such as thermo-elasticity [3], photo-elasticity [1], digital image correlation [28] or electronic speckle patter interferometry [4], this is achieved by collecting data from outside the plastic zone. This effect is studied here by including and excluding the data from the plastic zone in the data used for estimating the SIF.…”

Section: Plastic Zonementioning

confidence: 99%

Mid-thickness studies of the stress intensity factor in the bulk of bainitic steel

López-Crespo

Vazquez-Peralta

Simpson³

et al. 2017

Frattura Ed Integrità Strutturale

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ABSTRACT. The current work aims at estimating the stress intensity factor deep inside the bulk from elastic strain data measured by synchrotron X-ray diffraction. Key features affecting the evaluation of the stress intensity factor are the number of terms in the analytical model describing the crack tip field, the extension and position of the area of interest of the experimental data, the effect of the experimental data collected within the plastic zone and the number of elastic strain data points used. Here a parametric study of these features is presented in terms of their influence for the stress intensity factor determination. It was found that 3 or 4 terms in Williams' expansion is often sufficient; the data should be collected from across the full range of angles around the crack tip; and the number of points/number of terms should be greater than 40.

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“…First, least squares techniques were implemented by using 2D solutions [35,36,37,38]. An alternative technique to determine SIFs is to resort to interaction integrals [39,40,22].…”

Section: Fatigue Test On Pre-cracked Samplementioning

confidence: 99%