Calibration of fracture models requires a suite of mechanical tests that cover a wide spectrum of loading conditions (the most critical of which are balanced biaxial tension (BBT), plane-strain tension (PST), uniaxial tension (US), and pure shear (SH)). While these tests are well-known, achieving the intended stress-triaxiality that corresponds to each one of these loading cases could be difficult.
In this presentation, we shed some light on this important topic and present the integration of digital image correlation (DIC) with mechanical testing to support the development and refinement of “fracture testing”. This is NOT simply the use of DIC for reading fracture strains, but rather determining and tracking the evolution of stress-triaxiality in the material and using that as the basis for redesigning and optimizing the designs of the test samples. Moreover, we provide additional insights on how DIC can be used to further support and enhance the process of calibrating fracture material cards (GISSMO).
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In this webinar, we introduce digital image correlation (DIC) and its integration into state-of-the-art material testing practices, emphasizing the significant role of DIC in completely transforming the way we investigate deformation and failure in materials and components. The webinar will feature real-life examples of testing projects using DIC, with focus on examples that enrich education in academia, as well as examples that amplify the technical output in research and development activities.
The selected examples cover several important engineering materials and a wide range of unique experiments and conditions that show the versatility and power of DIC.
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