Speckle images from biaxial test on PMMA

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Couty Victor;Witz Jean-François;Julien, Berthe;Lecomte Grosbras Pauline;Deletombe Eric;Brieu Mathias

Description

These images were captured during a biaxial test on a PolyMethylAcrylate cruciform sample. The actuators were driven based on the strain measured during the test using GPU integrated DIC. The speckle pattern was made by spraying black paint using an airbrush on a white coat of paint. The camera is a Ximea XiB (CB500MG-CM), the lens a canon EF 100mm, pixel size is 4.51 µm/pix The name of the images is "img_{count}{time}.tiff" where {count} is the number of processed images {time} the instant the image was captured after the beginning of the test in seconds. The average time between two saved image 5.21s but is not guaranteed to be constant (std = 0.0364s). img_ref{time}.tiff is the reference image used by the DIC algorithm. Not all indexes are available because only 1/100 images were saved for post-processing to limit the volume of data. This set of image can be used in many ways, including as a benchmark for comparing DIC algorithms. Since they are real-world images, the "real" displacement is not available. correl.zip contains a csv file with the results of the real-time integrated DIC used during the test. Because a few images were dropped due to limitations, make sure to use the timestamp to match the images and the csv.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Computer Vision and Pattern Recognition

Field

Computer Science

Domain

Physical Sciences

Confidence Score

100%

Source

Open Alex

Keywords

diccorrelationexperimentalbiaxial

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00