The fracturing of heterogeneous and granular media such as rocks, soils, and concrete has a variety of applications such as foamed cement, CO2 sequestration, and fracking. However, computation of dynamic fracture behavior is extremely challenging for computation. This project will use peridynamics—a nonlocal mechanics model—in combination with machine learning to develop reduced multiscale models based on experimental tomography data.