Digital volume correlation analyses of synchrotron tomographic images

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

doi:10.1177/0309324711409999

Cited by 46 publications

(38 citation statements)

References 43 publications

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“…Extended FE simulations were validated against experimentally measured displacement fields via extended DVC by comparing measured and predicted profiles of stress intensity factors [185,189]. Crack opening displacements measured via DVC were compared to predictions by FE analyses for a test with a chevron notched sample made of polygranular graphite to validate a cohesive zone model [160].…”

Section: Identification and Validationmentioning

confidence: 99%

Digital Volume Correlation: Review of Progress and Challenges

et al. 2018

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3D imaging has become popular for analyzing material microstructures. When time lapse series of 3D pictures are acquired during a single experiment, it is possible to measure displacement fields via digital volume correlation (DVC), thereby leading to 4D results. Such ForewordThe present paper aims at reviewing the major developments in Digital Volume Correlation (DVC) over the past ten years. It follows the first review on DVC that was published in 2008 by its pioneer [11]. In the latter, the interested reader will find all the general principles associated with what is now called local DVC. They will not be recalled hereafter. In such approaches the region of interest is subdivided into small subvolumes that are independently registered. In addition to its wider use with local approaches, DVC has been extended to global approaches in which the displacement field is defined in a dense way over the region of interest. Kinematic bases using finite element discretizations have been selected. To further add mechanical content, elastic regularization has been introduced. Last, integrated approaches use kinematic fields that are constructed from finite element simulations with chosen constitutive equations. The material parameters (and/or boundary conditions) then become the quantities of interest.These various implementations assume different degrees of integration of mechanical knowledge about the analyzed experiment. First and foremost, DVC can be considered as a stand-alone technique, which has seen its field of applications grow over the last ten years. In this case the measured displacement fields and post-processed strain fields are reported. With the introduction of finite element based DVC, the measured displacement field is continuous. It is also a standalone technique. However, given the fact that it shares common kinematic bases with numerical simulations, it can be easily combined with the latter. One route is to require local satisfaction of equilibrium via mechanical regularization. Another route is to fully merge DVC analyses and numerical simulations via integrated approaches. Different examples will illustrate how these various integration steps can be tailored and what are the current challenges associated with various approaches.

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Section: Identification and Validationmentioning

confidence: 99%

Digital Volume Correlation: Review of Progress and Challenges

et al. 2018

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“…However, the correlation residual eld is extremely useful to decide on the choice of acceptable parameters. The latter shows how good or bad the registration is spatially, and possible ill-behaviors appear generally very clearly [11,13,14,15,46,47].…”

Section: Correlation Proceduresmentioning

confidence: 99%

Digital volume correlation: what are the limits to the spatial resolution?

Leclerc

Périé

Hild

et al. 2012

Mechanics & Industry

116

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Most of the norms used in the eld of digital image (and volume) correlation to register two images (or volumes) lead to ill-posed problems. One of the frequent solutions is to enforce a restricted kinematics requiring a compromise between the richness of the solution (i.e., the spatial resolution) and the measurement uncertainty.An alternative route is to use a displacement norm that permits to alleviate this compromise by the means of a mechanical regularization used when the gray levels do not give enough information. It is then possible to compute a displacement vector for each pixel or voxel, inducing lower residuals (in terms of experimental data) while decreasing the noise sensitivity.The resolution performance of these di erent approaches is discussed, and compared for the analysis of a tensile test on a cast iron specimen based on a pair of tomographic images. As representative reconstructed volumes lead to a large number of degrees of freedom, a dedicated GPU computational strategy has been developed and implemented.Keywords: Global digital image correlation; GPU; Regularization.

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“…Five tomographic scans were acquired from a tensile test along the longitudinal axis [45], where the applied load was equal to 22 (reference), 150, 200, 250 and 273 N. The mean longitudinal strains were measured using the GA-DVC algorithm with an element size of 16 voxels from which a stress-strain curve of the specimen (cross section: 1.6 × 0.8 mm…”

Section: Reliability and Accuracy Of The Displacement Measurementsmentioning

confidence: 99%

Computation of full-field displacements in a scaffold implant using digital volume correlation and finite element analysis

Madi

Tozzi

Zhang

et al. 2013

Medical Engineering & Physics

102

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Measurements of three-dimensional displacements in a scaffold implant under uniaxial compression have been obtained by two Digital Volume Correlation (DVC) methods, and compared with those obtained from micro-finite element models. The DVC methods were based on two approaches, a local approach which registers independent small volumes and yields discontinuous displacement fields; and a global approach where the registration is performed on the whole volume of interest, leading to continuous displacement fields. A customised mini-compression device was used to perform in situ step-wise compression of the scaffold within a micro-computed tomography (µCT) chamber, and the data were collected at steps of interest. Displacement uncertainties, ranging from 0.006 to 0.02 voxel (i.e.0.12 to 0.4 μm), with a strain uncertainty between 60 and 600 με, were obtained with a spatial resolution of 32 voxels using both approaches, although the global approach has lower systematic errors. Reduced displacement and strain uncertainties may be obtained using the global approach by increasing the element size; and using the local approach by increasing the number of intermediary sub-volumes. Good agreements between the results from the DVC measurements and the FE simulations were obtained in the primary loading direction as well as in the lateral directions. This study demonstrates that volumetric strain measurements can be obtained successfully using DVC, which may be a useful tool to investigate mechanical behaviour of porous implants.

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Digital volume correlation analyses of synchrotron tomographic images

Cited by 46 publications

References 43 publications

Digital Volume Correlation: Review of Progress and Challenges

Digital Volume Correlation: Review of Progress and Challenges

Digital volume correlation: what are the limits to the spatial resolution?

Computation of full-field displacements in a scaffold implant using digital volume correlation and finite element analysis

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