An implicit large-eddy simulation perspective on the flow over periodic hills

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Laura Prieto Saavedra, Catherine E. Niamh Radburn, Audrey Collard-Daigneault, Bruno Blais
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引用次数: 0

Abstract

The periodic hills simulation case is a well-established benchmark for computational fluid dynamics solvers due to its complex features derived from the separation of a turbulent flow from a curved surface. We study the case with the open-source implicit large-eddy simulation (ILES) software Lethe. Lethe solves the incompressible Navier–Stokes equations by applying a stabilized continuous finite element discretization. The results are validated by comparison to experimental and computational data available in the literature for Re = 5600. We study the effect of the time step, averaging time, and global mesh refinement. The ILES approach shows good accuracy for average velocities and Reynolds stresses using less degrees of freedom than the reference numerical solution. The time step has a greater effect on the accuracy when using coarser meshes, while for fine meshes the results are rapidly time-step independent when using an implicit time-stepping approach. A good prediction of the reattachment point is obtained with several meshes and this value approaches the experimental benchmark value as the mesh is refined. We also run simulations at Reynolds equal to 10600 and 37000 and observe promising results for the ILES approach.

从隐式大涡流模拟角度看周期性山丘上的流动
周期性丘陵模拟案例是计算流体力学求解器的一个成熟基准,因为其复杂特征来自于湍流与曲面的分离。我们使用开源隐式大涡度模拟(ILES)软件 Lethe 对该案例进行了研究。Lethe 采用稳定的连续有限元离散化方法求解不可压缩的纳维-斯托克斯方程。通过与文献中 Re = 5600 条件下的实验和计算数据进行比较,验证了结果。我们研究了时间步长、平均时间和全局网格细化的影响。与参考数值解法相比,ILES 方法使用较少的自由度就能获得较高的平均速度和雷诺应力精度。在使用较粗网格时,时间步长对精度的影响更大,而在使用隐式时间步长方法时,对于细网格,结果与时间步长迅速无关。使用多个网格可以很好地预测重新附着点,并且随着网格的细化,该值会接近实验基准值。我们还在雷诺数等于 10600 和 37000 的条件下进行了模拟,观察到 ILES 方法取得了很好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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