高阶TENO格式的隐式大涡模拟

Lin Fu, Xiangyu Y. Hu, N. Adams
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引用次数: 4

摘要

尽管Fu等人(2016)提出的TENO方案在湍流再现方面显示出令人满意的结果,但由于产生过度耗散,它们不适合作为可靠的子网格LES模型。同时,最先进的隐式LES模型,例如Kawai等人(2010)的局部人工扩散方案,通常依赖于冲击传感器,这些传感器与情况有关,无法保持不连续点附近的单调性。难点在于尺度上——充分分离低波数光滑区、高波数波动区和不连续区,并将适当的耗散纳入相应的数值格式。在本文中,我们提出了一种新的8点6阶TENO8-A方案,该方案在气体动力学和物理上是一致的,用于不可压缩和可压缩湍流建模。低波数平滑区域采用优化的线性格式处理,在局部流尺度测量的基础上,采用自适应非线性耗散方法预测高波数波动和不连续区域。新方案是伽利略不变的,并且不需要基于物理的传感器,因此具有很高的通用性。基准模拟表明,虽然TENO8-A方案在气体动力学方面表现优异,但它忠实地再现了不可压缩湍流的动能演变,并预测了涡度、熵和声学模式,与物理驱动的ILES模型一样好。Fu, Lin, Hu, Xiangyu Y和Adams, Nikolaus A 2016可压缩流体模拟的高阶目标no格式。计算物理学报(英文版),33(2):444 - 444。Kawai, Soshi, Shankar, Santhosh K & Lele, Sanjiva K 2010可压缩湍流大涡模拟的局部人工扩散率方案评估。计算物理学报29(5),1739-1762。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit large eddy simulations with a high-order TENO scheme
Although TENO schemes, proposed by Fu et al. (2016), show promising results for turbulence reproduction, they are unsuitable to function as a reliable subgrid LES model by generating excessive dissipation. Meanwhile, the state-ofthe-art implicit LES models, e.g. the localized artificial diffusivity scheme by Kawai et al. (2010), typically depend on shock sensors, which are case-dependent and fail to retain the monotonicity near discontinuities. The difficulty locates on scale-separating the low-wavenumber smooth regions, high-wavenumber fluctuations and discontinuities sufficiently and incorporating adequate dissipation into numerical schemes correspondingly. In this paper, we propose a new 8-point 6th-order TENO8-A scheme, which is motivated for gas dynamics and physics-consistent for incompressible and compressible turbulence modeling. While the low-wavenumber smooth region is handled by the optimized linear scheme, with the measurement of local flow scales, the high-wavenumber fluctuations and discontinuities are predicted with adaptive nonlinear dissipation. The new scheme is Galilean invariant and free from physics-based sensors rendering its high generality. Benchmark simulations demonstrate that, while the TENO8-A scheme exhibits exceptional performance in gas dynamics, it faithfully reproduces the kinetic energy evolution for incompressible turbulence and predicts the vorticity, entropy and acoustic modes as good as the physics-motivated ILES models for compressible turbulence decay. REFERENCES Fu, Lin, Hu, Xiangyu Y & Adams, Nikolaus A 2016 A family of high-order targeted eno schemes for compressible-fluid simulations. Journal of Computational Physics 305, 333–359. Kawai, Soshi, Shankar, Santhosh K & Lele, Sanjiva K 2010 Assessment of localized artificial diffusivity scheme for large-eddy simulation of compressible turbulent flows. Journal of Computational Physics 229 (5), 1739–1762.
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