2015
DOI: 10.1016/j.compfluid.2015.01.002
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An anisotropic adaptive finite element algorithm for transonic viscous flows around a wing

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Cited by 5 publications
(4 citation statements)
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“…In fact, transonic flows are used for large civil aircraft and other flight objects. The implementation of computational methods and deep understandings of physical nature of the transonic flow are always needed [6,7]. The above analysis for subsonic-transonic flow and supersonic-transonic flow allows drawing the following conclusions.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, transonic flows are used for large civil aircraft and other flight objects. The implementation of computational methods and deep understandings of physical nature of the transonic flow are always needed [6,7]. The above analysis for subsonic-transonic flow and supersonic-transonic flow allows drawing the following conclusions.…”
Section: Discussionmentioning
confidence: 99%
“…In [121] an adjointfree approach is introduced based on specific entropy variables. In [122], an extension of error estimates for elliptic problems was derived for Navier-Stokes equations. In [72,123,41], an approach coupling isotropic adjoint-based estimates and interpolation error is proposed.…”
Section: Mesh Adaptation For Turbulent Navier-stokes Equationsmentioning
confidence: 99%
“…In particular, handling high Reynolds number (several millions) compressible flow simulations require suitable adaptation of the boundary layer mesh which remains a crucial open problem as it influences all the downstream flow. Indeed, most of the previous approaches keep a frozen boundary layer mesh while adapting only the far field [122,123]. Other approaches rely on a completely unstructured boundary layer [54,73,94,76].…”
Section: Mesh Adaptation For Turbulent Navier-stokes Equationsmentioning
confidence: 99%
“…Different strategies can be found in the literature. Most of them are related to high order elements (see [2,3,4]), parallel computing (see [5,6,7,8]) or, in particular, adaptive methods (see [9,10,11,12]). …”
Section: Introductionmentioning
confidence: 99%