Abstract
A new indicator for adaptive mesh refinement is proposed based on a drag decomposition method. The indicator is entropy drag which can be obtained from the drag decomposition postprocessing. The drag decomposition method decomposes total drag into wave, profile, induced, and spurious drag components; the spurious one is due to unphysical entropy production resulting from numerical diffusion and errors. Moreover, the (spurious) entropy drag distribution can be visualized in the flowfield, and thus it is used as the indicator. The newly developed method for adaptive mesh refinement is investigated by inviscid transonic computations for the ONERA M6 wing. The result shows better performance than other mesh refinement methods such as the feature-based method. The authors conclude that the developed adaptive mesh refinement method employing the entropy drag as the indicator is promising for efficient reduction of mesh dependency. The important factors for computational meshes to predict drag accurately are then investigated in detail.
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