From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
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作者：
S. Heinz
混合ranss - les方法应该为未来的湍流模拟提供主要贡献，特别是在无法获得验证数据的情况下可靠的流动预测。然而，现有的混合ranss - les方法存在一些本质问题。本文提出了一种解决这些问题的方法，即对先前介绍的连续涡模拟（CES）方法的推广。这些方法是通过对标准两方程湍流模型进行相对较小的扩展而得到的，代表了最小误差的模拟方法。这里提出的一个重要观察是，不可压缩流动的最小误差方法可以扩展到分层和可压缩流动，这为解决相关的大气科学问题（中尺度到微观尺度的耦合）和航空航天问题（超音速或高超音速流动预测）开辟了道路。也有报道称，最小误差方法可以在显著的建模不确定性条件下为一致性湍流模型的设计提供有价值的贡献。
Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these problems is presented as a generalization of previously introduced continuous eddy simulation (CES) methods. These methods, obtained by relatively minor extensions of standard two-equation turbulence models, represent minimal error simulation methods. An essential observation presented here is that minimal error methods for incompressible flows can be extended to stratified and compressible flows, which opens the way to addressing relevant atmospheric science problems (mesoscale to microscale coupling) and aerospace problems (supersonic or hypersonic flow predictions). It is also reported that minimal error methods can provide valuable contributions to the design of consistent turbulence models under conditions of significant modeling uncertainties.