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- W2022997390 abstract "The physical scale of observation and the mathematical formalism of description are important choices for the modeling of physical phenomena. The role of local interactions in relating complex features at different scales in inelastic material fracture is important since material damage has local origins while fracture is a large scale event. In this investigation, the relationship between large scale and small continuum scale fracture surface features are quantified in terms of local, small scale interactions. Experimental measurements of local fracture surface orientation were obtained from processing video images of the fracture surface under different illumination directions. The image processing mapped pixel intensities into a set of three local fracture surface inclination classes defined with respect to the macroscopic surface normal and crack growth direction. Stochastic cellular automaton parameters were identified from the processed image of local inclination classes for use in subsequent simulation. Physical consistency of the parameters with respect to symmetry under spatial reflection was demonstrated. Synthetic processed images were generated using two different types of initial conditions. The processed and synthetic processed images contained similar proportions and features of self-organization, as compared to random images, yet were relatively insensitive to initial conditions of the simulations. This is consistent with the local uniqueness and global reproducibility associated with the mechanics of fracture. Through this approach, the ability to determine the dominant local interaction scale and the global scale of self-organization from experiment should complement analytical modeling of the fracture process. This method of analysis serves to identify features on the fracture surface for additional scrutiny by higher resolution experimental methods." @default.
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- W2022997390 title "A complex systems approach to metallic fracture surface characterization" @default.
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