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A dynamic forcing method for unsteady turbulent inflow conditions

机译：不稳定湍流流入条件的动态强迫方法

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The present paper aims to provide an efficient and flexible method for the initialization of a zonal RANS/LES type calculation when the resolution of the near wall region is treated in RANS mode. Indeed, when part of the boundary layer must be resolved in LES mode, one generally experiences a very long transient state, which makes this approach inapplicable to industrial applications. The skillful combination of a Zonal Detached Eddy Simulation method (ZDES), a Synthetic Eddy Method (SEM) and a self-adaptative dynamic forcing approach enables this. The two former being taken as framework, while the latter, based on innovative considerations, is the purpose of the paper. The main strength of the dynamic forcing method comes from its local nature, enabling to treat geometrically complex applications. A new definition of the dynamic forcing method, based on v'2?t error, is derived from the original one. It dramatically increases the efficiency of the inflow generation. Indeed, the dynamic forcing method allows to reduce the transition distance up to 76%, compared to the SEM inflow by itself, when a RANS/LES type resolution is employed. Thus the use of a synthetic turbulence generation method is now affordable for industrial applications both technically and economically. A particular attention is brought to the behavior and the parametrization of such an approach, with regards to the other simulation parameters. The authors will try to give all the information required to successfully apply the present strategy on a particular case.
机译：本文旨在为以RANS模式处理近壁区域的分辨率时提供一种高效灵活的方法来初始化区域RANS / LES类型的计算。确实，当必须以LES模式解析边界层的一部分时，通常会经历一个非常长的瞬态，这使该方法不适用于工业应用。区域分离涡流模拟方法（ZDES），合成涡流方法（SEM）和自适应动态强迫方法的巧妙结合使此成为可能。前两者被视为框架，而后者则基于创新考虑，是本文的目的。动态强制方法的主要优势在于其局部特性，可以处理几何复杂的应用程序。从原始误差中得出了基于v'2？t误差的动态强迫方法的新定义。它大大提高了流入量的效率。实际上，当采用RANS / LES类型的分辨率时，与本身的SEM流入相比，动态强迫方法可以将过渡距离减少多达76％。因此，现在在技术上和经济上对于工业应用而言，使用合成湍流产生方法都是可以负担的。关于其他模拟参数，要特别注意这种方法的行为和参数化。作者将尝试提供在特定情况下成功应用本策略所需的所有信息。

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