Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, U.S.A. We develop a spatial mesh adaptation approach for unsteady wake problems and other problems with smooth and persistent regions of unsteadiness using a higher-order discretization coupled with a single spatial mesh. Our anisotropic adaptive method extends the output-based Mesh Optimization via Error Sampling and Synthesis (MOESS) algorithm to optimize a spatial mesh driven by an unsteady flow field. The algorithm is demonstrated for several two-dimensional inviscid and laminar Navier-Stokes cases, and results in as much an order of magnitude decrease in error for a given problem size.
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