Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations

Pan, Bing; Li, K.; Tong, Wei

doi:10.1007/s11340-013-9717-6

Cited by 444 publications

(212 citation statements)

References 28 publications

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“…5 (Pan et al 2006). The inverse compositional GaussNewton (IC-GN) method described by Pan et al (2013) is used, in combination with bi-quintic B-spline interpolation of the deformed subset pixel intensities (e.g., Cheng et al 2002) to adjust the subset shape function until the correlation between the reference and target subsets is optimized. The exit criterion for the optimization is a user-defined maximum magnitude for the norm of the subset shape function difference vector (|⌬p| max ) between successive computations (typically 1 × 10 −5 ) and a maximum number of iterations (max iter ) per subset (typically 50).…”

Section: Seed Computationmentioning

confidence: 99%

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: Seed Computationmentioning

confidence: 99%

Improved image-based deformation measurement for geotechnical applications

et al. 2016

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“…By doing this, a reliable image matching path is successfully determined. Between 2011 and 2013, Pan and Li [33] and Pan et al [34] proposed a fast DIC method which efficiently eliminated redundant calculations in the conventional NewtonRaphson method. In the work of Pan and Li, a reliability-guided displacement scanning strategy was adopted to avoid the laborious integer-displacement searching scheme and a pre-computed global interpolation coefficient table was generated to eliminate repetitive interpolation calculation in sub-pixel positions.…”

Section: Improvement Of 2d-dic Algorithms Regarding Their Computationmentioning

confidence: 99%

A Review of Surface Deformation and Strain Measurement Using Two-Dimensional Digital Image Correlation

Khoo¹,

Karuppanan²,

Tan³

2016

Metrology and Measurement Systems

101

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Among the full-field optical measurement methods, the Digital Image Correlation (DIC) is one of the techniques which has been given particular attention. Technically, the DIC technique refers to a non-contact strain measurement method that mathematically compares the grey intensity changes of the images captured at two different states: before and after deformation. The measurement can be performed by numerically calculating the displacement of speckles which are deposited on the top of object's surface. In this paper, the Two-Dimensional Digital Image Correlation (2D-DIC) is presented and its fundamental concepts are discussed. Next, the development of the 2D-DIC algorithms in the past 33 years is reviewed systematically. The improvement of 2D-DIC algorithms is presented with respect to two distinct aspects: their computation efficiency and measurement accuracy. Furthermore, analysis of the 2D-DIC accuracy is included, followed by a review of the DIC applications for two-dimensional measurements.

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“…Also, aR OC is defined in the compensating sample. Then, the u and v displacement distributions in ROI and ROC are extractedu sing an advanced subsetbased DIC algorithm based on the recently presented robust, efficient and accurate inverse-compositional Gauss-Newton (IC-GN) algorithm [ 21],a nd hereafter are denoted as u r , v r and u c , v c ,r espectively.N ote thatp riori to DIC analysis, low-pass Gaussian pre-filtering were applied to the recorded images to reduce the bias error in detected displacements caused by image noise and imperfects ub-pixel intensity interpolation filters [22]. (2) These detected virtual displacementso fR OC are fitted using the parametric model indicated in Equation (1).…”

Section: Measurement Of Poisson'sratio Using Digital Image Correlationmentioning

confidence: 99%

Determination of Viscoelastic Poisson’s Ratio of Solid Propellants using an Accuracy‐enhanced 2D Digital Image Correlation Technique

Pan

Yuan

et al. 2015

Propellants Explo Pyrotec

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1IntroductionAs ak ey component of as olid rocket motor( SRM), the structural integrity of solid propellantsp lays ac rucial role in its service life evaluation. During shipment, storagea nd ignition,t he solid propellants inside aS RM generally suffer from diverse loadings [1,2].T od etermine the integrity and service life of the SRM, it is necessary to evaluatet he stress and strain distributionsa sw ell as the aging and damage of the solid propellant grainsb ased on viscoelastic constitutive theory and computational modeling [1][2][3][4].N umerical analyses performed by various researchers clearly demonstrated that the Poisson's ratio variation in solid propellant grains has as ignificant effect on the resulting stress and strain response. Despite the Poisson's ratio is generally treated as ac onstant for simplicity,m odels that assume ac onstantP oisson ratio usually cannot achieve good results, especially for short-duration loading cases. In fact, the Poisson'sr atio of solid propellants, known as at ime-temperature dependent viscoelastic property,i sacomplex function dependent on both time and load histories [5]. Thus, to feed the numerical techniques, experimental determination of time-varying Poisson's ratio of the propellant grains is of practical importance. However,s ince solid propellant grains are very flexible and soft in nature, it is extremely challenging to use existing experimental techniques to accurate measure its time-dependent Poisson's ratio, whichi se xpected to vary from compressible (v < 0.5) to incompressible (v % 0.5) and thusd emanding very high accuracyo ns train measurements.To determine the Poisson's ratio of solid propellants, both indirect and direct measurementt echniquesc an be used [6][7][8].T he indirect measurement methods first measure other material parameters, such as tensile/compressive modulus ands hear modulus, Poisson's ratio is then numerically computed based on the transversal relationship among these material parameters. Becauset he indirect techniques involve multiple measurement and fitting of several mechanical parameters, their practical implementation is not only troublesome, but also prone to induce large measuremente rrors due to the error accumulation involved in various steps.I nc ontrast, the direct measurement

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Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations

Cited by 444 publications

References 28 publications

Improved image-based deformation measurement for geotechnical applications

Improved image-based deformation measurement for geotechnical applications

A Review of Surface Deformation and Strain Measurement Using Two-Dimensional Digital Image Correlation

Determination of Viscoelastic Poisson’s Ratio of Solid Propellants using an Accuracy‐enhanced 2D Digital Image Correlation Technique

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