作者: D. Drikakis , O.P. Iliev , D.P. Vassileva
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摘要: Abstract The paper presents the development and investigation of an adaptive-smoothing (AS) procedure in conjunction with full multigrid–full approximation storage method. latter has been previously implemented by authors [1] for incompressible Navier–Stokes equations artificial-compressibility method forms basis investigating current AS approach. principle adaptive smoothing is to exploit nonuniform convergence behavior numerical solution during iterations reduce size computational domain and, subsequently, total computing time. implementation approach investigated three different adaptivity criteria two- three-dimensional flows. Furthermore, a dynamic (henceforth labeled ) defining variably parameters computation also proposed its performance contrast constant static ). Both can provide similar acceleration, but additionally provides more stable solutions requires less experimentation optimizing Numerical experiments are presented attached separated flows around airfoils as well flow curved channel. For external performs better when it applied all grid levels multigrid method, while internal best achieved finest only. Overall, results show that substantial acceleration computations be using smoothing.