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Direkte Numerische Simulation×Grenzschichttheorie×
FachgebietStrömungsmechanikStrömungsmechanik
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr19711904
UrheberSteven OrszagLudwig Prandtl
TypFull-scale turbulence resolution methodAnalytical framework and approximation method
Wegweisende QuelleOrszag, S. A. (1971). Numerical simulation of incompressible flows within simple boundaries: accuracy. Journal of Fluid Mechanics, 49(1), 75-112. DOI ↗Prandtl, L. (1904). Über Flüssigkeitsbewegung bei sehr kleiner Reibung. In Verhandlungen des 3. Internationalen Mathematiker-Kongresses in Heidelberg (pp. 484-491). Teubner. link ↗
AliasnamenDNS, resolved turbulence simulationBL theory, Prandtl boundary layer, viscous layer
Verwandt55
ZusammenfassungDirect Numerical Simulation (DNS) is a computational approach that solves the Navier-Stokes equations without turbulence models, resolving all scales of motion from the largest energy-containing eddies down to the smallest dissipative scales (Kolmogorov microscales). Pioneered by Steven Orszag in 1971, DNS provides complete information about turbulent flow fields and serves as a reference solution for validating turbulence models. However, extreme computational demands limit DNS to relatively simple geometries and low to moderate Reynolds numbers.Boundary 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.
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ScholarGateMethoden vergleichen: Direct Numerical Simulation · Boundary Layer Theory. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare