Application of Hybrid RANS/LES Methods for the Simulation of Shock-Induced Turbulent Boundary Layer Separation

Q3 Mathematics
A. I. Troshin, S. V. Bakhne
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引用次数: 0

Abstract

The results of shock-induced turbulent boundary layer separation simulations using scale-resolving methods with wall modelling (WMLES) are presented. A test case is chosen for which experimental data and reference large eddy simulation results are available. The IDDES method based on the SST turbulence model in the WMLES mode is compared with a similar method in which the explicit subgrid scale model is turned off. In the second approach, two schemes of the WENO family are considered. In each case, two grids of different densities are employed. The separation size, pressure, and friction coefficient distributions along the wall, and one-point pressure probability density functions at two reference points are compared. An unexpected result is demonstrated: in all the eddy-resolving simulations, the separation region’s length turns out to be underestimated by 15–28%, and no significant reduction in the error with grid refinement is observed. Possible reasons for this phenomenon are discussed.

Abstract Image

应用 RANS/LES 混合方法模拟冲击诱发的湍流边界层分离
摘要 本文介绍了利用尺度求解方法和壁面建模(WMLES)进行的冲击诱导湍流边界层分离模拟结果。选取了一个有实验数据和参考大涡模拟结果的测试案例。在 WMLES 模式下,基于 SST 湍流模型的 IDDES 方法与关闭显式子网格尺度模型的类似方法进行了比较。在第二种方法中,考虑了 WENO 系列的两种方案。在每种情况下,都采用了两个不同密度的网格。比较了沿壁的分离尺寸、压力和摩擦系数分布,以及两个参考点的单点压力概率密度函数。结果出乎意料:在所有涡流解析模拟中,分离区域的长度都被低估了 15%-28%,而且网格细化后误差并没有明显减小。本文讨论了造成这种现象的可能原因。
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来源期刊
Mathematical Models and Computer Simulations
Mathematical Models and Computer Simulations Mathematics-Computational Mathematics
CiteScore
1.20
自引率
0.00%
发文量
99
期刊介绍: Mathematical Models and Computer Simulations  is a journal that publishes high-quality and original articles at the forefront of development of mathematical models, numerical methods, computer-assisted studies in science and engineering with the potential for impact across the sciences, and construction of massively parallel codes for supercomputers. The problem-oriented papers are devoted to various problems including industrial mathematics, numerical simulation in multiscale and multiphysics, materials science, chemistry, economics, social, and life sciences.
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