ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

边界层理论×雷诺平均纳维-斯托克斯方程×
领域流体力学流体力学
方法族Process / pipelineProcess / pipeline
起源年份19041895
提出者Ludwig PrandtlOsborne Reynolds
类型Analytical framework and approximation methodComputational turbulence modeling approach
开创性文献Prandtl, L. (1904). Über Flüssigkeitsbewegung bei sehr kleiner Reibung. In Verhandlungen des 3. Internationalen Mathematiker-Kongresses in Heidelberg (pp. 484-491). Teubner. link ↗Reynolds, O. (1895). On the dynamical theory of incompressible viscous fluids and the determination of the criterion. Philosophical Transactions of the Royal Society A, 186, 123-164. DOI ↗
别名BL theory, Prandtl boundary layer, viscous layerRANS, Reynolds-averaged flow simulation
相关55
摘要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.The Reynolds-Averaged Navier-Stokes (RANS) equations represent a time-averaged form of the Navier-Stokes equations developed by Osborne Reynolds in 1895. This approach decomposes turbulent flow into mean and fluctuating components, enabling practical simulation of turbulent flows by modeling turbulent stresses rather than resolving all scales. RANS remains the most widely used computational fluid dynamics method in engineering applications due to its computational efficiency.
ScholarGate数据集
  1. v1
  2. 3 来源
  3. PUBLISHED
  1. v1
  2. 3 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Boundary Layer Theory · Reynolds-Averaged Navier-Stokes. 于 2026-06-19 检索自 https://scholargate.app/zh/compare