(EASF webinar S2E2) Adaptive Augmented Lagrangian Digital Image/Volume Correlation

Digital image/volume correlation (DIC/DVC) is a powerful, non-invasive experimental method for extracting 2D and 3D volumetric full-field deformation information. The basic idea of this method is to compare images of an object painted with a speckle pattern before and after deformation, and thereby to compute displacements and strains. Most current DIC/DVC algorithms can be categorized into either local or finite element based global methods. However, there are some drawbacks with either of these methods. In the local method, since all of the local subset deformations are estimated independently, the computed displacement field may not be compatible, and the deformation gradients can be noisy, especially for small subsets. Although the global method can incorporate kinematic compatibility, it is generally much more computational expensive than its local counterpart. Here we present a new hybrid algorithm, the augmented Lagrangian digital image/volume correlation (AL-DIC/DVC), that combines the advantages of both the local (fast computation times) and global (compatible displacement field) methods. I will show that the AL-DIC/DVC has higher accuracy and behaves more robustly compared to both current local and global DIC/DVC methods. Finally, I will demonstrate that this new AL-DIC/DVC technique can be implemented with adaptive meshing capability, which can further save computation time one order of magnitude.

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I was hoping to use the AL-DIC system in monitoring the surface cracks and strains in a beam experiments and could not find any details about
1, the type and number of cameras used.
2, the type and quality of the image that needs to be produced and how to produce them
would you be kind to elaborate on this or suggest a document that would be ideal to answer this questions.