Physical/numerical duality of explicit/implicit subgrid-scale modelling

IF 1.5 4区 工程技术 Q3 MECHANICS Journal of Turbulence Pub Date : 2023-05-25 DOI:10.1080/14685248.2023.2215530
R. Vicente Cruz, E. Lamballais
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引用次数: 1

Abstract

The development of implicit approaches has prompted debate on the actual usefulness of any explicit subgrid-scale modelling in large-eddy simulation. This question is addressed here by considering two generic turbulent flows: (i) the Taylor-Green vortex problem; (ii) the pipe flow. For both flow configurations, implicit modelling is found to overtake the very popular Smagorinsky model. To understand this robust observation, an analysis in the Fourier space is presented for the Taylor-Green vortex problem. The concept of spectral eddy viscosity, widely used in the pioneer work of Marcel Lesieur in two-point closure and subgrid-scale modelling, is revisited in a general framework based on explicit/implicit subgrid-scale modelling. In particular, the essentially anisotropic nature of implicit modelling is exhibited, as a favourable feature in terms of consistency with the computational mesh. Smagorinsky's model, considered as a generic explicit subgrid-scale model in the framework of Boussinesq's hypothesis, is found to be highly sensitive to numerical errors. Removing the latter is easy but makes computationally inefficient this type of explicit modelling. Comparisons between a priori and a posteriori spectral eddy viscosities show that neither Smagorinsky's model nor implicit modelling can mimic the expected spectral behaviour. Smagorinsky's model is observed to be weakly scale-selective with a poor ability to actually filter the solution. The feature of scale-selectivity is well replicated by implicit modelling which exhibits excellent capabilities for filtering. However, its lack of influence at the largest scales is against the expected behaviour for the spectral eddy viscosity at low wavenumber through the establishment of a non-zero plateau value. This lack of consistency of implicit LES could be overcome thanks to an extra explicit modelling but the attempt to mix Smagorinsky's model and implicit LES is not successful in this study. The potential of implicit large-eddy simulation is also exhibited for the accurate computation of near-wall turbulence inside a pipe flow despite the use of a regular Cartesian mesh with an immersed boundary method. Interestingly, the resulting coarse wall-normal resolution in the near-wall direction does not prevent the reliable prediction of statistical profiles up to the capture of subgrid-scale details. It is suggested that the regularisation associated with implicit modelling is a necessary condition to reach numerical accuracy. However, to faithfully represent the large-scale dynamics, present results confirm that non-local triad interactions must be taken into account as widely discussed in the inspiring textbook Lesieur [Turbulence in fluids. 4th ed. Springer; 2008] of Marcel Lesieur.
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显式/隐式子网格尺度建模的物理/数值对偶
隐式方法的发展引发了关于显式亚网格尺度模型在大涡模拟中的实际用途的争论。这里通过考虑两种一般的湍流来解决这个问题:(i)泰勒-格林涡旋问题;(ii)管道流量。对于这两种流配置,隐式建模被发现超越了非常流行的Smagorinsky模型。为了理解这一强有力的观察结果,在傅里叶空间中对泰勒-格林涡旋问题进行了分析。在Marcel Lesieur的两点闭合和亚网格尺度建模的先驱工作中广泛使用的频谱涡流粘度概念,在基于显式/隐式亚网格尺度建模的一般框架中重新审视。特别是,隐式建模的本质各向异性被展示出来,作为与计算网格一致性方面的有利特征。Smagorinsky模型被认为是Boussinesq假设框架下的一般显式亚网格尺度模型,它对数值误差非常敏感。去除后者很容易,但会使这种显式建模的计算效率低下。先验和后验光谱涡流粘度的比较表明,Smagorinsky的模型和隐式模型都不能模拟预期的光谱行为。Smagorinsky的模型被观察到是弱尺度选择性的,实际上过滤溶液的能力很差。隐式建模很好地复制了尺度选择性的特征,显示出良好的滤波能力。然而,它在最大尺度上缺乏影响,这与通过建立非零平台值对低波数谱涡粘度的预期行为相反。由于采用了额外的显式建模,内隐LES的不一致性可以得到克服,但在本研究中,将Smagorinsky的模型与内隐LES混合的尝试并不成功。隐式大涡模拟的潜力也显示了精确计算近壁湍流管内流动,尽管使用常规笛卡尔网格与浸入边界法。有趣的是,在近壁方向产生的粗墙法向分辨率并不妨碍对统计剖面的可靠预测,直到捕获亚网格尺度的细节。结果表明,隐式建模的正则化是达到数值精度的必要条件。然而,为了忠实地表示大尺度动力学,目前的结果证实,必须考虑非局部三元相互作用,正如鼓舞人心的教科书Lesieur[流体中的湍流]中广泛讨论的那样。第4版b施普林格;[2008] Marcel Lesieur。
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来源期刊
Journal of Turbulence
Journal of Turbulence 物理-力学
CiteScore
3.90
自引率
5.30%
发文量
23
审稿时长
6-12 weeks
期刊介绍: Turbulence is a physical phenomenon occurring in most fluid flows, and is a major research topic at the cutting edge of science and technology. Journal of Turbulence ( JoT) is a digital forum for disseminating new theoretical, numerical and experimental knowledge aimed at understanding, predicting and controlling fluid turbulence. JoT provides a common venue for communicating advances of fundamental and applied character across the many disciplines in which turbulence plays a vital role. Examples include turbulence arising in engineering fluid dynamics (aerodynamics and hydrodynamics, particulate and multi-phase flows, acoustics, hydraulics, combustion, aeroelasticity, transitional flows, turbo-machinery, heat transfer), geophysical fluid dynamics (environmental flows, oceanography, meteorology), in physics (magnetohydrodynamics and fusion, astrophysics, cryogenic and quantum fluids), and mathematics (turbulence from PDE’s, model systems). The multimedia capabilities offered by this electronic journal (including free colour images and video movies), provide a unique opportunity for disseminating turbulence research in visually impressive ways.
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