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The State of the Art of Hybrid RANS/LES Modeling for the Simulation of Turbulent Flows

机译:用于湍流模拟的混合RANS / LES建模技术

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摘要

This review presents the state of the art of hybrid RANS/LES modeling for the simulation of turbulent flows. After recalling the modeling used in RANS and LES methodologies, we propose in a first step a theoretical formalism developed in the spectral space that allows to unify the RANS and LES methods from a physical standpoint. In a second step, we discuss the principle of the hybrid RANS/LES methods capable of representing a RANS-type behavior in the vicinity of a solid boundary and an LES-type behavior far away from the wall boundary. Then, we analyze the principal hybrid RANS/LES methods usually used to perform numerical simulation of turbulent flows encountered in engineering applications. In particular, we investigate the very large eddy simulation (VLES), the detached eddy simulation (DES), the partially integrated transport modeling (PITM) method, the partially averaged Navier-Stokes (PANS) method, and the scale adaptive simulation (SAS) from a physical point of view. Finally, we establish the connection between these methods and more precisely, the link between PITM and PANS as well as DES and PITM showing that these methods that have been built by different ways, practical or theoretical manners have common points of comparison. It is the opinion of the author to consider that the most appropriate method for a particular application will depend on the expectations of the engineer and the computational resources the user is prepared to expend on the problem.
机译:这篇综述介绍了用于湍流模拟的混合RANS / LES建模技术的现状。在回顾了RANS和LES方法中使用的模型后,我们首先提出了在光谱空间中发展起来的理论形式主义,该理论形式允许从物理角度统一RANS和LES方法。在第二步中,我们讨论了混合RANS / LES方法的原理,该方法能够表示实体边界附近的RANS型行为和远离墙边界的LES型行为。然后,我们分析了通常用于对工程应用中遇到的湍流进行数值模拟的主要混合RANS / LES方法。特别是,我们研究了非常大的涡流仿真(VLES),分离涡流仿真(DES),部分集成的运输模型(PITM)方法,部分平均的Navier-Stokes(PANS)方法以及尺度自适应仿真(SAS) )从物理角度来看。最后,我们建立了这些方法之间的联系,更准确地说,建立了PITM和PANS之间以及DES和PITM之间的联系,这表明以不同方式,实践或理论方法构建的这些方法具有共同的比较点。作者认为,针对特定应用的最合适方法将取决于工程师的期望以及用户为解决该问题所准备的计算资源。

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