Analysis of image series through global digital image correlation

Besnard, Gilles; Leclerc, Hugo; Hild, François; Roux, Stéphane; Swiergiel, Nicolas

doi:10.1177/0309324712441435

Cited by 51 publications

(51 citation statements)

References 32 publications

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“…The starting point uses a global formulation written as a least-square problem over the space-time domain, as proposed by [6,8,24]. In order to do this, we intro-…”

Section: The Proposed Space-time Pgd-dic Formulationmentioning

confidence: 99%

“…This technique should not be opposed to existing space regularization methods [20,30,31,28,11,33], but should be rather seen as an additional tool, which can positively complement more conventional remedies. More precisely, the method starts from a space-time formulation of DIC [6,8]. Then the displacement is calculated as a sum of products of separated space and time functions over the full time interval.…”

Section: Introductionmentioning

confidence: 99%

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A Space-Time PGD-DIC Algorithm:

2018

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The aim of this study is to develop a new regularized Digital Image Correlation (DIC) method for time dependent measurements. The correlation problem is written as a minimization problem over the space-time domain in a general formulation including 2D-DIC and Stereo DIC (SDIC). The unknown time-resolved displacement field is found as a sum of products of space and time functions, similarly to the Proper Generalized Decomposition in computational mechanics. It is shown that the space fields are less sensitive to noise as time regularity acts as a physical regularization of the space fields. The proposed method is illustrated by vibration measurement under harmonic excitation in 2D-DIC and SDIC.

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“…The starting point uses a global formulation written as a least-square problem over the space-time domain, as proposed by [6,8,24]. In order to do this, we intro-…”

Section: The Proposed Space-time Pgd-dic Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Space-Time PGD-DIC Algorithm:

2018

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“…It was used to have a more precise evaluation of the strain rates in the central frame (i.e., local in time). The combined use of space and time kinematic bases allows the spatial resolution to be decreased by increasing the temporal resolution to achieve similar or even lower uncertainty levels [24]. Last, for IR pictures, spatiotemporal regularizations based upon Karhunen-Loeve decomposition are yet another alternative route [25].…”

Section: Remark On Temporal Regularizationmentioning

confidence: 99%

Regularised digital-level corrections for infrared image correlation

Charbal

Roux

Hild

et al. 2018

Quantitative InfraRed Thermography Journal

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Global digital image correlation (DIC) applied to infrared images is considered for a test where very significant and localized laser heating is applied. Because of temperature changes and high gradients, digital levels are to be corrected in addition to the displacement registration. Digital level corrections and kinematics are decomposed over an unstructured mesh to account for steep gradients. A regularization strategy is used to mend ill-posedness penalizing rapid variation of corrections and displacements. High gradients motivate further softening of the regularization (i.e., reduction of the regularization length scale) based on prior estimates. The methodology is tested on different experimental cases in which DIC residuals are drastically reduced and systematic displacement errors are cut down to 10 −2 pixel after gray level corrections (performed on numerical cases). Additionally, the regularization improves the convergence speed as well as the quality of the sought fields. The capability of the code to account for blur corrections is illustrated on a practical case.

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“…However, many high-speed cameras lead to image definitions that become very small as the number of frames per second increases. To compensate for this decrease in spatial definition, spatiotemporal algorithms have been introduced [48,49] in which movies are analyzed. An additional way of regularizing correlation procedures is to analyze a series of pictures (instead of an image pair in the previous section).…”

Section: Spatiotemporal Dicmentioning

confidence: 99%

“…2(e) a Gaussian white noise (zero mean, standard deviation σ I equal to 3 % of the dynamic range) for each picture of the artificial movie. This level of noise is quite high for illustration purposes and also to check whether a priori predictions of the standard displacement uncertainty [49] are still valid for a series of n pictures per time step in a single analysis…”

Section: Spatiotemporal Dicmentioning

confidence: 99%

On the Use of Digital Image Correlation for the Analysis of the Dynamic Behavior of Materials

Hild

Bouterf

Forquin

et al. 2017

The Micro-World Observed by Ultra High-Speed Cameras

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The present chapter is devoted to the analysis of the mechanical behavior of materials subjected to dynamic loadings via digital image correlation (DIC). This measurement technique provides 2D or 3D displacement fields that can be evaluated thanks to the use of high-speed cameras. Various declinations of DIC are first presented. Uncertainty quantifications are also discussed. Last, different examples illustrate how DIC can be used to analyze and quantify deformation, damage and fracture mechanisms of brittle and ductile materials.

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Analysis of image series through global digital image correlation

Cited by 51 publications

References 32 publications

A Space-Time PGD-DIC Algorithm:

A Space-Time PGD-DIC Algorithm:

Regularised digital-level corrections for infrared image correlation

On the Use of Digital Image Correlation for the Analysis of the Dynamic Behavior of Materials

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