Seminars

Constitutive models for materials serve as closure relations for the general conservation laws of continuum mechanics and together these provide the mathematical foundation for engineering simulations. When modeling metals that undergo large deformations, it is often important to consider both elastic and plastic responses. Furthermore, the mechanical behavior of many metals is anisotropic due to microscale texture imparted during their manufacturing processes. This inherently complex nature makes the development of constitutive models for metals a difficult task.
The maturation of digital image correlation (DIC), a technique for measuring the motion of a patterned surface, has enabled the acquisition of high-resolution “full-field” data that is well-suited for material model calibration, validation, and selection. But calibration techniques struggle to fully capitalize on the rich deformation information contained in DIC measurements. A significant challenge is the creation of numerically efficient finite element simulations of mechanical characterization experiments and the computation of sensitivities needed for optimization-based calibration.
In this talk, I will present methods for calibrating anisotropic effective stress functions using full-field data from an experimental campaign focused on Al7079.