Before revision:  Leveraging h-AgFEM on locally-adapted, non-conforming, tree-based meshes, and its parallel distributed-memory implementation, we can tackle large-, multi-scale problems posed on complex geometries. On top of that, in order to accurately and efficiently capture localized phenomena that frequently occur in nonlinear solid mechanics problems, we propose an algorithm to perform pseudo time-stepping in combination with h-adaptive dynamic mesh refinement and re-balancing driven by a-posteriori error estimators.
After revision:  In order to accurately and efficiently capture localized phenomena that frequently occur in nonlinear solid mechanics problems, we propose an algorithm to perform pseudo time-stepping in combination with h-adaptive dynamic mesh refinement and re-balancing driven by a-posteriori error estimators.