High-speed digital image correlation: error estimations and applications

Siebert, Thorsten; Becker, Thomas; Spiltthof, Karsten; Neumann, Isabell; Krupka, René

doi:10.1117/1.2741217

Cited by 88 publications

(45 citation statements)

References 4 publications

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“…Correlation errors include background noise in the image ͑which can be enhanced by increasing the image gain͒ and the quantization of grayscale values. In Siebert et al ͑2007͒, either one of these errors was less than 0.05 pixels, at worst. The reconstruction errors were caused by uncertainties in the calibration of the 3D-DIC system.…”

Section: Evaluation Of Measurement Accuracymentioning

confidence: 92%

“…Errors in high speed DIC measurements were investigated by Siebert et al ͑2007͒, and may be categorized as ͑1͒ correlation errors and ͑2͒ reconstruction errors. Correlation errors include background noise in the image ͑which can be enhanced by increasing the image gain͒ and the quantization of grayscale values.…”

Section: Evaluation Of Measurement Accuracymentioning

confidence: 99%

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Determination of superior surface strains and stresses, and vocal fold contact pressure in a synthetic larynx model using digital image correlation

Spencer

Siegmund

Mongeau

2008

The Journal of the Acoustical Society of America

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Stresses and strains within the vocal fold tissue may play a critical role in voice fatigue, in tissue damage and resulting voice disorders, and in tissue healing. In this study, experiments were performed to determine mechanical fields on the superior surface of a self-oscillating physical model of the human vocal folds using a three-dimensional digital image correlation method. Digital images obtained using a high-speed camera together with a mirror system were used to measure displacement fields, from which strains, strain rates, and stresses on the superior surface of the model vocal folds were computed. The dependence of these variables on flow rate was established. A Hertzian impact model was used to estimate the contact pressure on the medial surface from superior surface strains. A tensile stress dominated state was observed on the superior surface, including during collision between the model folds. Collision between the model vocal folds limits the medial-lateral stress levels on the superior surface, in conjunction with compressive stress or contact pressure on the medial surface.

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Section: Evaluation Of Measurement Accuracymentioning

confidence: 92%

Section: Evaluation Of Measurement Accuracymentioning

confidence: 99%

Determination of superior surface strains and stresses, and vocal fold contact pressure in a synthetic larynx model using digital image correlation

Spencer

Siegmund

Mongeau

2008

The Journal of the Acoustical Society of America

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show abstract

“…This pattern provided by Dantec Dynamics has been optimized for DIC measurements. The cameras are calibrated and the image correlation parameters are selected to minimize the experimental error, following the recommendations given by Siebert et al [55].…”

Section: Experimental Measurementsmentioning

confidence: 99%

Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy

Meruane

Lasen

Droguett

et al. 2017

Entropy

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Sandwich structures are very attractive due to their high strength at a minimum weight, and, therefore, there has been a rapid increase in their applications. Nevertheless, these structures may present imperfect bonding or debonding between the skins and core as a result of manufacturing defects or impact loads, degrading their mechanical properties. To improve both the safety and functionality of these systems, structural damage assessment methodologies can be implemented. This article presents a damage assessment algorithm to localize and quantify debonds in sandwich panels. The proposed algorithm uses damage indices derived from the modal strain energy method and a linear approximation with a maximum entropy algorithm. Full-field vibration measurements of the panels were acquired using a high-speed 3D digital image correlation (DIC) system. Since the number of damage indices per panel is too large to be used directly in a regression algorithm, reprocessing of the data using principal component analysis (PCA) and kernel PCA has been performed. The results demonstrate that the proposed methodology accurately identifies debonding in composite panels.

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“…However, this assumes the deformation was calculated using high-quality pictures, an ideally speckled test article, and a perfect calibration. Studies have shown that errors introduced in the calibration procedure [19] and through the interpolation of pixel intensity due to low-contrast speckles [20] are non-negligible. Sicard and Sirohi [13] concluded that including these additional sources of error causes the accuracy to be on the order of 0.01 pixels for in-plane displacements and 0.1 pixels for out-of-plane displacements.…”

Section: Accuracy Of Dic Measurements and Modal Parametersmentioning

confidence: 99%

Operational Modal Analysis of a Rotating Cantilever Beam Using High-Speed Digital Image Correlation

Rizo-Patron

Sirohi

2016

57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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High-speed digital image correlation: error estimations and applications

Cited by 88 publications

References 4 publications

Determination of superior surface strains and stresses, and vocal fold contact pressure in a synthetic larynx model using digital image correlation

Determination of superior surface strains and stresses, and vocal fold contact pressure in a synthetic larynx model using digital image correlation

Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy

Operational Modal Analysis of a Rotating Cantilever Beam Using High-Speed Digital Image Correlation

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