Digital image correlation: A measurement tool for the study of explosive effects

Nansteel, M.; Chen, Charles Chih-Tsai

doi:10.1109/ths.2009.5168040

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…Digital image correlation is a broadly applied measurement technique in the field of experimental mechanics. The growth and diffusion of the aforementioned methodology is due to the relative ease to measure full field displacement and strain for both large-surface/large-scale deformation [9] and microstructure/nanoscale deformation [10], and, in general, DIC measurements are a valuable tool to solve complex problems in modeling the mechanical behavior of materials [11].…”

Section: Related Workmentioning

confidence: 99%

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A Displacement Uncertainty Model for 2-D DIC Measurement Under Motion Blur Conditions

Lavatelli

Zappa

2017

IEEE Trans. Instrum. Meas.

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In this paper, the effects of motion blur on 2-D digital image correlation (DIC) measurements are discussed, with a particular focus on the description of displacement measurement uncertainty. The research started with the simulation of motion blur with a suitable literature-based algorithm. Then the state of the art of uncertainty analysis in the context of DIC was compared with simulation results, and it was found that the effects of motion blur on uncertainty are not predicted correctly by the literature models. This phenomenon is explained by the fact that the literature models do not consider motion blur. Consequently, a simple monodimensional case is analyzed. In this way, it has been possible to evaluate the sensitivity of DIC correlation function [evaluated as the sum of squared differences (SSD)] to motion blur. Using these results, it is possible to extend the analysis to the case of a generic image with the help of a power-law model. Eventually, the model proposed in this paper is able to represent the effects of motion blur correctly.

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Section: Related Workmentioning

confidence: 99%

“…Given all the previous premises, it is now possible to analytically calculate the motion blurred signal as well as the values of the quantities expressed in (9). The results are shown in Fig.…”

Section: Analysis Of Motion Blur Effectsmentioning

confidence: 99%

A Displacement Uncertainty Model for 2-D DIC Measurement Under Motion Blur Conditions

Lavatelli

Zappa

2017

IEEE Trans. Instrum. Meas.

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“…This method of measurement uncertainty was further extended by using a bootstrap Monte Carlo approach to correctly propagate the covariance of the calibration parameter errors based on methods in the Guide to Measurement Uncertainty published by Bureau International des Poids et Mesures (BIPM) [10]. To quantify the uncertainty of the measurements in stereo-DIC, comparison with benchmark physical experiments, involving translation and simple strains, has also been studied [21][22][23]. Although the input of these benchmarks confirms the general accuracy of the technique, most of these works do not provide details on the DIC experimental setup [10].…”

Section: Introductionmentioning

confidence: 99%

Stereo-DIC Challenge 1.0 – Rigid Body Motion of a Complex Shape

Ahmad,

Helm,

Bossuyt

et al. 2024

Exp Mech

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Background Stereo-DIC is a widely used optical measurement technique that provides a dense full-field 3D measurement of the shape, displacement, and strain of a solid sample. When compared with 2D-DIC, Stereo-DIC provides greater flexibility and expands its use beyond flat, planar specimens. Furthermore, the widespread availability of commercial systems has led to the adoption of the technique throughout industry, academia, and government research labs. Objective Even though some research has been done to understand the effects of different experimental and stereo-DIC parameters, no reference is available to benchmark and compare the performance of current stereo-DIC algorithms to each other. Methods This paper provides the description and analysis of a carefully controlled 3D experiment and associated images used to compare the results from five subset based DIC software packages. Both the images and analysis codes used in this paper to compare the results are described here and are available for download and use for continued research. Results We show that over a very large range of motion, the 3D errors are very small, less than 80$$\mu$$ μ m over a travel of ±20 mm out-of-plane and ±20 mm in-plane. While all codes performed similarly, there are important differences noted in the paper. Conclusion The image sets and results comparison software are hosted by the International DIC Society (www.iDICs.org) and are freely available for download and analysis for comparison with results in this paper. Furthermore, it is hoped that this set of images can be used for future research in improving stereo-DIC by future authors.

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“…Compared to other photogrammetry based techniques, DIC has proven to be characterized by very high accuracy, so that it is possible to measure strain down to the microscale with good repeatability. Furthermore, the growth and diffusion of DIC is due to the relative ease to measure full field displacement for both large scale mechanical systems [9] and micro scale/nano structure mechanical system [10]. To sum up, DIC is a valuable measurement technology to solve complex problems in the field of experimental mechanics, but in the context of dynamic measurements uncertainty is still hard to manage.…”

Section: Introductionmentioning

confidence: 99%

Experimental Modal Analysis on Vibration Data Measured by Digital Image Correlation

Castellini

Chiariotti

Martarelli

et al. 2017

Shock &Amp; Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics &Amp; Optics, Volume 9

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This paper discusses the application of 3D vision-based techniques to recover the Operational Deflection Shapes of a reference specimen consisting in a rectangular section cantilever beam. The research work focuses on the analysis of the accuracy of this measuring approach and discusses the strong points and the limitation of the photogrammetric approaches to experimental modal analysis. Two different types of area-based matching techniques are considered here: the former is based on incremental displacement estimation of subsets of subsequent images. This technique works the approach of Particle Image Velocimetry (PIV), with an Eulerian approach. The second technique considered here is on the contrary based on the estimation of the absolute displacement, considering the first acquired image as the reference for all the subsequent ones. In this last case a Lagrangian approach is used and the applied algorithm is the Digital Image Correlation (DIC). The main advantage of Eulerian (i.e. PIV) approach is that it is possible to analyse also the vibration of a moving object (like in belt dynamic characterization), where the reference region imaged in the first acquired picture, comes out of the field of view much before the end of the test. On the other hand, the Lagrangian approach shows some accuracy problems in the applications where the estimation of the displacement is request instead of velocity. In these cases, the incremental displacement estimated at each new image has to be composed with all the previously estimated ones to obtain the overall motion. Experimental tests were done using a cantilever beam as a case study. The excitation of the beam is done by means of an electromagnetic shaker, while the reference transducer used to validate the output of vision-based techniques is a Scanning Laser Doppler Vibrometry. Results show that the two image-based methodologies have similar performances when estimating natural frequencies, loss factors and ODSs. Keywords Digital image correlation • Particle image velocimetry • Laser doppler vibrometry • Experimental modal analysis • Folded optics IntroductionVibration measurement plays an essential role in the operative monitoring and characterization of mechanical systems. During the last two decades, it has been possible to develop several non-contact methodologies able to measure vibration remotely, thanks to the continuous improvement of the hardware, in terms of calculation power and size. For instance, with reference to the problem of characterizing the dynamics of timing belt, non-contact approaches (mainly Scanning Laser Doppler Vibrometry [1][2][3][4]) have proven their efficacy. This dissertation will focus onto the application of imaging techniques to analyse the modal behaviour of a test specimen.The use of imaging devices as displacement transducers was firstly proposed in almost-static applications, where the effect of target motion during the exposure time can be neglected. Thanks to technology improvements, the applications of vision-based measu...

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Digital image correlation: A measurement tool for the study of explosive effects

Cited by 4 publications

References 6 publications

A Displacement Uncertainty Model for 2-D DIC Measurement Under Motion Blur Conditions

A Displacement Uncertainty Model for 2-D DIC Measurement Under Motion Blur Conditions

Stereo-DIC Challenge 1.0 – Rigid Body Motion of a Complex Shape

Experimental Modal Analysis on Vibration Data Measured by Digital Image Correlation

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