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首页> 外文期刊>Journal of Computational Physics >Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames
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Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames

机译：一种进化算法在预混合火焰中湍流运输造型的应用

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Recently the concept of Gene Expression Programming (GEP) has been introduced with very encouraging results for the purpose of modelling the unclosed tensors in the context of RANS (Reynolds Averaged Navier-Stokes) turbulence modelling. This paper extends the previous framework to modelling subgrid stresses (SGS) in the context of Large Eddy Simulation (LES). In order to achieve this goal the GEP algorithm was coupled with an external multiprocessor postprocessing tool that evaluates a cost function based on a-priori analysis of explicitly filtered DNS data of turbulent premixed planar flames. Although LES of combustion systems is becoming increasingly popular, the closures for sub-grid scale (SGS) stresses have mostly been derived assuming constant density flows. However, it has been shown recently that depending on the relative strength of heat release and turbulence, counter-gradient transport can occur for the stress tensor if the isotropic part is not properly accounted for. The focus of this work is not to put forward a particular new model but to demonstrate that evolutionary algorithms can successfully be used in the framework of LES modelling. To achieve this purpose the GEP software is used for modelling the deviatoric stress, the trace of the SGS tensor and the stress tensor itself. Although the functional form of the model was not imposed, the evolutionary algorithm did find a well known model from the literature with even the model constants comparable to values reported in the literature. (C) 2018 Elsevier Inc. All rights reserved.
机译：最近，已经引入了基因表达编程（GEP）的概念，以非常令人鼓舞的结果，目的是在Rans（Reynolds Iastaged Navier-Stokes）湍流建模中建模未纯粹的张量。本文将前一个框架扩展到在大涡模拟（LES）的上下文中建模细分应力（SGS）。为了实现这一目标，GEP算法与外部多处理器后处理工具耦合，基于明确过滤的湍流预混平面火焰的明确滤波DNS数据的a-priori分析来评估成本函数。尽管燃烧系统的燃烧系统越来越受欢迎，但是假设恒定密度流动的子网格秤（SGS）应力的封闭件主要得到。然而，最近已经表明，取决于热释放和湍流的相对强度，如果不正确地算像各向同性部件，则可能会出现压力张量的反梯度传输。这项工作的重点不是提出了一个特定的新模型，而是证明进化算法可以成功地用于LES建模的框架中。为达到目的，GEP软件用于建模偏离的应力，SGS张量的迹线和应力张量本身。尽管没有施加模型的功能形式，但是进化算法确实从文献中找到了从文献中的众所周知的模型，即使是与文献中报道的值相当的模型常数。 （c）2018年Elsevier Inc.保留所有权利。

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