A consistent approach to modeling MHD-driven cylindrical damage experiments

Well-characterized experimental data is essential for development of models describing complex material processes such as damage and failure. There is currently a dearth of experimental data capturing material behavior for the processes of non-uniaxial loading to failure and void closure after damage. LANL and VNIIEF recently completed a series of ten helical-generator-driven cylindrical damage experiments using high-precision diagnostics to measure the drive conditions and the material response. These experiments produced a well-characterized damage data set ranging from void initiation to complete failure and recollection for a well-studied material, aluminum. Combining magneto-hydrodynamics (MHD) and material modeling capabilities in a Lagrangian hydrocode allows for self-consistent end-to-end simulations of MHD-driven material property experiments. Simulation results for the damage experiments compared to experimental data will be presented.