Assessment of Digital Image Correlation Measurement Accuracy in the Ultimate Error Regime: Main Results of a Collaborative Benchmark

Amiot, Fabien; Bornert, Michel; Doumalin, Pascal; Dupré, Jean-Christophe; Fazzini, Marina; Orteu, Jean-José; Poilâne, Christophe; Robert, Laurent; Rotinat, René; Toussaint, Evelyne; Wattrisse, Bertrand; Wienin, Jean Samuel

doi:10.1111/str.12054

Cited by 73 publications

(65 citation statements)

References 29 publications

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“…For GeoPIV, which uses NCC to obtain the integer pixel displacements prior to subpixel interpolation using bi-cubic splines, a significant periodic variation in bias is evident for non-integer or non-half-integer displacements. This behaviour is consistent with that reported by Amiot et al (2013) for PIV-DIC software incorporating bi-cubic interpolation. In contrast, the bi-quintic B-spline interpolation process used in the IC-GN optimization of GeoPIV-RG experiences mean bias errors that never exceed 0.0005 px.…”

Section: Rigid-body Translationsupporting

confidence: 81%

“…In contrast, the bi-quintic B-spline interpolation process used in the IC-GN optimization of GeoPIV-RG experiences mean bias errors that never exceed 0.0005 px. This is comparable to the performance reported by Lee et al (2012) for NCC with bi-quintic B-spline subpixel interpolation and consistent with the best performing PIV-DIC software (with respect to mean bias errors) reported by Amiot et al (2013) that also incorporated bi-quintic B-spline interpolation. Minimizing bias errors is particularly important if strains are to be derived from the derivatives of displacement fields as periodic bias can lead to erroneous localizations in strain fields.…”

Section: Rigid-body Translationsupporting

confidence: 73%

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Improved image-based deformation measurement for geotechnical applications

et al. 2016

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This paper describes and benchmarks a new implementation of image-based deformation measurement for geotechnical applications. The updated approach combines a range of advances in image analysis algorithms and techniques best suited to geotechnical applications. Performance benchmarking of the new approach has used a series of artificial images subjected to prescribed spatially varying displacement fields. An improvement by at least a factor of 10 in measurement precision is achieved relative to the most commonly used particle image velocimetry (PIV) approach for all deformation modes, including rigid-body displacements, rotations, and strains (compressive and shear). Lastly, an example analysis of a centrifuge model test is used to demonstrate the capabilities of the new approach. The strain field generated by penetration of a flat footing and an entrapped sand plug into an underlying clay layer is computed and compared for both the current and updated algorithms. This analysis demonstrates that the enhanced measurement precision improves the clarity of the interpretation.Key words: image analysis, model tests, particle image velocimetry, digital image correlation.

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Section: Rigid-body Translationsupporting

confidence: 81%

Section: Rigid-body Translationsupporting

confidence: 73%

Improved image-based deformation measurement for geotechnical applications

et al. 2016

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“…This is mostly due to the lack of methodological studies conducted with DIC on bone samples. Such studies are limited to 2D-DIC studies evaluated using synthetic images [18], [58], [59], thus not considering the spectrum of additional complexities introduced by testing human bone samples (e.g., non-planar, rough and wet surfaces, tracked using a 3D-surface DIC approach). Only Gilchrist et al [45] performed a validation of DIC on bone against one SG.…”

Section: Digital Image Correlationmentioning

confidence: 99%

Extracting accurate strain measurements in bone mechanics: A critical review of current methods

Grassi

Isaksson

2015

Journal of the Mechanical Behavior of Biomedical Materials

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Osteoporosis related fractures are a social burden that advocates for more accurate fracture prediction methods. Mechanistic methods, e.g. finite element models, have been proposed as a tool to better predict bone mechanical behaviour and strength. However, there is little consensus about the optimal constitutive law to describe bone as a material. Extracting reliable and relevant strain data from experimental tests is of fundamental importance to better understand bone mechanical properties, and to validate numerical models.Several techniques have been used to measure strain in experimental mechanics, with substantial differences in terms of accuracy, precision, time-and length-scale. Each technique presents upsides and downsides that must be carefully evaluated when designing the experiment. Moreover, additional complexities are often encountered when applying such strain measurement techniques to bone, due to its complex composite structure. 2This review of literature examined the four most commonly adopted methods for strain measurements (strain gauges, fibre Bragg grating sensors, digital image correlation, and digital volume correlation), with a focus on studies with bone as a substrate material, at the organ and tissue level. For each of them the working principles, a summary of the main applications to bone mechanics at the organ-and tissue-level, and a list of pros and cons are provided.

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“…The experimental implementation was performed by VIC3D (see www.correlatedsolutions.com) stereo-correlation software and the camera calibration was conducted for each face measurement [7,8]. The two stereovision systems have been calibrated using a target with 12 × 15 points spaced by 15 mm.…”

Section: Mechanical Testmentioning

confidence: 99%

Experimental identification of the overall elastic rigidities of superconducting windings

Rotinat

Moulart

Nunio

et al. 2016

JAE

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Abstract. This study deals with an experimental methodology developed in order to identify the elastic properties of superconducting ring-shaped windings, constituents of the main coil winding of a magnetic resonance imaging magnet (MRI). Mechanical tensile tests were conducted on real scale specimens associated to an optical full-field displacement measurement technique (stereo image correlation). Strain fields were then obtained from the measured displacement fields by numerical differentiation. Finally, the four in-plane orthotropic stiffnesses of the windings were determined using the Virtual Fields Method (VFM). Experimental set-up also allows detecting a possible occurrence of a delamination thanks to in-plane displacement fields.

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Assessment of Digital Image Correlation Measurement Accuracy in the Ultimate Error Regime: Main Results of a Collaborative Benchmark

Abstract: is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible.This is an author-deposited version published in: http://sam.ensam.eu Handle

Cited by 73 publications

References 29 publications

Improved image-based deformation measurement for geotechnical applications

Improved image-based deformation measurement for geotechnical applications

Extracting accurate strain measurements in bone mechanics: A critical review of current methods

Experimental identification of the overall elastic rigidities of superconducting windings

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