Accompanying data for the paper "Experimental characterization of material strain-rate dependence based on full-field Data-Driven Identification"

Experimental Data accompanying the paper "Experimental characterization of material strain-rate dependence based on full-field Data-Driven Identification" https://doi.org/10.1016/j.ijimpeng.2024.105083

One (holed and double notched) specimen is dynamically loaded via an hydraulic tensile test machine (MTS-819, 20 kN) at 5 m/s. The specimen were cut from a 0.8 mm-thick DC04 (XES French standards) sheet in the rolling direction provided by ONERA. Reference image is captured using a high definition camera (29 Mpix, Prosilica GT from Stemmer) combined with the same objective lens than the one used for experiments. Deformed sample images are captured using the rotating mirror Ultra-high speed (HR-UHS) Cordin camera Model 580 at 68 kfps with a resolution of 3296 x 2472 pixels. The field of view is 35.8mm x 47.9mm leading to a pixel size of 14.49um. Ufreckles 10.5281/zenodo.1433775 is used to perform FE-based DIC using T3P1 linear triangular elements and a Tikhonov regularisation (over 3 elements). Eventually, kinematic data and load measurement  are used to identify stress fields via Data-Driven stress Identification (DDI) method.

Are provided:

raw images, camera distortion modes and parameters, load net force and timeline

kinematic fields obtained from Digital Image Correlation

Stress fields identified using Data-Driven stress Identification

Matlab Codes to produce results (working with Ufreckles)

MultiSensor_DIC_script.m: in /Codes/ is the main script to run DIC

Shape functions: in /Codes/shape_functions/ containing Zernike polynomial shape functions and deconvolution algorithm to get effective displacement from total displacement knowing camera distortions