Digital image correlation

DIC analyzes changes in images and extracts full-field 3D displacement, strain and acceleration on thousands of points with a resolution far smaller than the size of the pixel. Behind the nice colorful images, you will find accurate, reliable and quantitative results, including confidence levels from an integrated error assessment. The most optimal settings to analyze the images are automatically determined before running the analysis. At any moment, you get access to all settings influencing the results. This builds confidence in the 3D full-field results and is required to validate the accuracy of the simulation models correctly.

Reliable and precise DIC starts with capturing high-quality and synchronized images from digital cameras. Our digital image acquisition software supports both 2D and 3D stereo DIC set-ups to optimally cover a wide range of testing scenarios, from coupon up to testing of complex structures. It guides throughout the complete configuration and verifies that the speckle size, the light of the scene and the camera settings are correctly defined and ensures that all cameras are synchronized. Real-time information on a few selected virtual sensors verifies the quality and integrity of the test set-up. The aliased acquisition allows for vibration measurements with low-speed cameras.

Compared to traditional experimental set-ups delivering one-dimensional point information, DIC provides 3D full-field information to validate numerical finite element (FE) models and to increase simulation model accuracy, reliability and realism. Our solutions embed a robust and unique validation approach, including a reliable and quantified comparison between FE models and experimental DIC results. The differences between FE and experimental DIC results are reported in a correlation map, which immediately highlights the areas where a refinement of the FE model might be required.