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Θεωρία Οριακού Στρώματος×Προσομοίωση Μεγάλων Δινοστρόβιλων×
ΠεδίοΡευστοδυναμικήΡευστοδυναμική
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης19041963
ΔημιουργόςLudwig PrandtlJoseph Smagorinsky
ΤύποςAnalytical framework and approximation methodScale-resolving turbulence simulation
Θεμελιώδης πηγήPrandtl, L. (1904). Über Flüssigkeitsbewegung bei sehr kleiner Reibung. In Verhandlungen des 3. Internationalen Mathematiker-Kongresses in Heidelberg (pp. 484-491). Teubner. link ↗Smagorinsky, J. (1963). General circulation experiments with the primitive equations: I. The basic experiment. Monthly Weather Review, 91(3), 99-164. DOI ↗
Εναλλακτικές ονομασίεςBL theory, Prandtl boundary layer, viscous layerLES, subgrid-scale modeling
Συναφείς55
ΣύνοψηBoundary Layer Theory is the analytical and approximate framework for understanding viscous flow near solid surfaces, pioneered by Ludwig Prandtl in 1904. The central insight is that at high Reynolds numbers, viscous effects are confined to a thin layer near walls (the boundary layer), while the flow outside remains essentially inviscid. This separation enables powerful approximations: the boundary layer equations reduce the full Navier-Stokes to a parabolic system solvable via streamwise marching, yielding analytical or semi-analytical solutions for many practical cases. Boundary layer theory remains fundamental to aerodynamics, hydrodynamics, and heat transfer.Large Eddy Simulation (LES) is a turbulence modeling technique that explicitly resolves large-scale turbulent eddies while modeling small-scale subgrid-scale (SGS) motions. Introduced by Joseph Smagorinsky in 1963, LES represents a middle ground between Reynolds-Averaged Navier-Stokes (RANS) and Direct Numerical Simulation (DNS). By capturing the energy-containing scales of turbulence, LES provides superior accuracy for transient flows and complex geometries at computational costs significantly lower than DNS.
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ScholarGateΣύγκριση μεθόδων: Boundary Layer Theory · Large Eddy Simulation. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare