A novel method for measuring discontinuous deformation in digital image correlation based on partition and dividing strategy

2018 ◽  
Vol 204 ◽  
pp. 185-197 ◽  
Author(s):  
Jing Han ◽  
Bing Pan
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Discontinuous Deformation ◽  
Novel Method

scholarly journals Full-Field Bridge Deflection Monitoring with Off-Axis Digital Image Correlation

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5058
Author(s):  
Long Tian ◽  
Jianhui Zhao ◽  
Bing Pan ◽  
Zhaoyang Wang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
High Speed ◽  
Region Of Interest ◽  
Image Correlation ◽  
New Approach ◽  
Full Field ◽  
Straight Line ◽  
Beam Experiment ◽  
Novel Method

Video deflectometer based on using off-axis digital image correlation (DIC) has emerged as a robust non-contact optical tool for deflection measurements of bridges. In practice, a video deflectometer often needs to measure the deflections at multiple positions of the bridge. The existing 2D-DIC-based measurement methods usually use a laser rangefinder to measure the distance from each point to the camera to obtain the scale factor for the point. It is only suitable for the deflection measurements of a few points since manually measuring distances for a large number of points is time consuming and impractical. In this paper, a novel method for full-field bridge deflection measurement based on off-axis DIC is proposed. Because the bridge is usually a slender structure and the region of interest on the bridge is often a narrow band, the new approach can determine the scale factors of all the points of interest with a spatial straight-line fitting scheme. Moreover, the proposed technique employs reliability-guided processing and a fast initial parameter estimation strategy for real-time and accurate image-matching analysis. An indoor cantilever beam experiment verified the accuracy of the proposed approach, and a field test of a high-speed railway bridge demonstrated the robustness and practicability of the technique.

scholarly journals A Novel Method of Vein Detection with the Use of Digital Image Correlation

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 401
Author(s):  
Zbigniew Lutowski ◽  
Sławomir Bujnowski ◽  
Beata Marciniak ◽  
Sylwester Kloska ◽  
Anna Marciniak ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Adverse Events ◽  
Mobile Phone ◽  
Digital Image ◽  
Image Correlation ◽  
Blood Collection ◽  
Novel Technique ◽  
Specialized Equipment ◽  
Novel Method ◽  
Mobile Phone Camera

Digital image correlation may be useful in many different fields of science, one of which is medicine. In this paper, the authors present the results of research aimed at detecting skin micro-shifts caused by pulsation of the veins. A novel technique using digital image correlation (DIC) and filtering the resulting shifts map to detect pulsating veins was proposed. After applying the proposed method, the veins in the forearm were visualized. The proposed technique may be used in the diagnosis of venous stenosis and may also contribute to reducing the number of adverse events during blood collection. The great advantage of the proposed method is the lack of the need to have specialized equipment, only a typical mobile phone camera is needed to perform the test.

scholarly journals Inverse Interval Field Quantification via Digital Image Correlation

2018 ◽  
Vol 885 ◽  
pp. 304-310
Author(s):  
Matthias Faes ◽  
David Moens
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Spatial Uncertainty ◽  
Image Correlation ◽  
The Novel ◽  
Full Field ◽  
Novel Method ◽  
Interval Valued ◽  
Accurate Quantification

This paper presents the application of a new method for the identification and quantification of interval valued spatial uncertainty under scarce data.Specifically, full-field strain measurements, obtained via Digital Image Correlation, are applied in conjunction with a quasi-static finite element model.To apply these high-dimensional but scarce data, extensions to the novel method are introduced.A case study, investigating spatial uncertainty in Young's modulus of PA-12 parts, produced via Laser Sintering, shows that an accurate quantification of the constituting uncertainty is possible, albeit being somewhat conservative with respect to deterministic values reported in literature.

Parallel reliability-guided algorithm for digital image correlation

2019 ◽  
Vol 61 (12) ◽  
pp. 729-737 ◽  
Author(s):  
Zhe Lin ◽  
Tian Cai ◽  
Yanfeng Wang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Measurement Accuracy ◽  
Image Sequence ◽  
Image Correlation ◽  
Reference Image ◽  
Measurement Results ◽  
Discontinuous Deformation ◽  
Computing Platforms ◽  
Time Required

Digital image correlation is a non-contact optical method for measuring the displacement and strain on the surface of a material. The existing reliability-guided digital image correlation (RG-DIC) method is stable and reliable for a single image but it still needs a large calculational resource for a sequence of images. Due to the decorrelation effect, the reference image must be replaced several times to correct the measurement results for an image sequence involving a large deformation or a discontinuous deformation. Since the process must be executed sequentially, image by image, the total time required is often unacceptably large when the image sequence is long. The challenge is to find a way of improving the speed while retaining calculational reliability and measurement accuracy, which are important for the practical application of DIC. To address this problem, an improved method is proposed in this paper. The parallel bottleneck caused by the decorrelation effect is solved through improving the parallelism to increase the processing speed. This approach can be used to calculate the strain field of the surface of the material in cases of discontinuous deformation, such as in the area near to a crack. Compared with existing methods, this method not only retains the calculational reliability but also greatly improves calculation speed, especially on current multi-core computing platforms.

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