Isochromatic-art: a computational dataset for digital photoelasticity studies.

Importance of evaluating the stress field of loaded structures lies in the need of identifying the forces which make them fail, redesigning their geometry to increase the mechanical resistance, or characterize unstressed regions to remove material. In such work line, digital photoelasticity highlights by the possibility of reveal the stress information through isochromatic color fringes, and quantifying it through inverse problem strategies. However, the absence of public data with a high variety of spatial fringe distribution have limited developing new proposals which generalize the stress evaluation in a wider variety of industrial applications. This dataset shares a variated collection of stress maps and their respective representation in color fringe patterns. In this case, the data were generated following the computational strategy in [1], but assuming stress surfaces and patches derived from analytical stress models, 3D reconstructions, saliency maps, and superpositions of Gasussian surfaces. At total, two sets of ‘101430’ raw images were separatelly generated for stress maps and isochromatic color fringes, respectively. This dataset can be valuable for researchers interested in characterizing the mechanical response in loaded models, engineers in computer science interested in modeling inverse problems, and scientist who work in physical phenomena such as 3D reconstruction in visible light, bubble analysis, oil surfaces, and film thickness.