Using Feature Detection and Richardson Extrapolation to Guide Adaptive Mesh Refinement for Vortex-Dominated Flows

The article describes a Cartesian-based adaptive mesh refinement approach applied to vortex-dominated flows. Several distinct feature-detection methods are investigated to furnish a means for tagging cells for refinement. In each case, appropriate normalization is defined so that the process is automated for a range of operating conditions. Richardson extrapolation is proposed to assess the local error and terminate the mesh refinement once adequate error reduction is achieved.