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Luca Di Angelo, Francesco Duronio, Angelo De Vita and Andrea Di Mascio
In this paper, an efficient and robust Cartesian Mesh Generation with Local Refinement for an Immersed Boundary Approach is proposed, whose key feature is the capability of high Reynolds number simulations by the use of wall function models, bypassing th...
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