Digital image correlation (DIC) is a non-contact optical measurement technique to measure 3D full-field displacement, strain, and acceleration using images from digital cameras. Digital image correlation has revolutionized engineering measurements and has evolved from university curiosity towards an industrially accepted technique.
It can be used with many tests, including tensile, torsion, bending and combined loading in materials engineering. It can also be used in structural testing for both static and dynamic applications.
Our solution embeds the latest tracking and image registration technology for 3D full-field measurement based on changes in images. Behind the nice colorful images, you will find accurate, reliable, and quantitative 3D full-field data everywhere, easily matched to the results of 3D finite element analysis. Compared to point measurements with sensors, DIC provides many more insights with limited instrumentation time. These results are used to accurately identify mechanical properties of new and innovative materials, to increase the accuracy and reliability of simulation models based on quantified results, and to accelerate component and system structural validation testing enabling faster and more responsive development cycles.
Learn how characterizing the mechanical behavior of materials and structures under load is a key enabler for improving designs and developing high-performance products.
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.
Department of Wind Energy, Technical University of Denmark collaborates with Siemens to use Simcenter solutions for the innovative ReliaBlade project.
Company:Department of Wind Energy, Technical University of Denmark
Industry:Energy & utilities
Siemens Software:Simcenter 3D Solutions, Simcenter Amesim, Simcenter Testing Solutions