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Influence of mesh deformation on the quality of large eddy simulations

机译:网格变形对大涡模拟质量的影响

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The influence of mesh motion on the quality of large eddy simulation (LES) was studied in the present article. A three-dimensional, turbulent pipe flow (Re=360) was considered as a test case. Simulations with both stretching and static meshes were carried out in order to understand how mesh motion affects the turbulence statistics. The spatial filtering of static and moving mesh direct numerical simulation (DNS) data showed how an ideal LES would perform, while the comparison of DNS cases with static and moving meshes revealed that no significant numerical errors arise from the mesh motion when the simulation is fully resolved. The comparison of the filtered fields of the DNS with a moving mesh with the corresponding LES fields revealed different responses to mesh motion from different numerical approaches. A straightforward test was applied in order to verify that the moving mesh works consistently in LES: when the mesh is stretched in the streamwise direction, the moving mesh results should be in between the two extremal resolutions between which the mesh is stretched. Numerical investigations using four different LES approaches were carried out. In addition to the Smagorinsky model, three implicit LES approaches were used: linear interpolation (non-dissipative), the Gamma limiter (dissipative), and the scale-selective discretisation (slightly dissipative). The results indicate that while the Smagorinsky and the scale-selective discretisation approaches produce results consistent with the resolution of the non-static mesh, the implicit LES with linear interpolation or the Gamma scheme do not. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:本文研究了网格运动对大涡模拟(LES)质量的影响。三维湍流(Re = 360)被认为是一个测试案例。为了了解网格运动如何影响湍流统计,进行了拉伸网格和静态网格的模拟。静态和动态网格直接数值模拟(DNS)数据的空间滤波显示了理想的LES将如何执行,而对静态和动态网格的DNS案例进行比较发现,当完全模拟时,网格运动不会产生明显的数值误差解决。将DNS的过滤字段与一个移动的网格与相应的LES字段进行比较,发现来自不同数值方法的对网格运动的不同响应。为了验证移动网格在LES中是否始终如一地进行应用,我们进行了一项简单的测试:当网格沿流向拉伸时,移动网格结果应介于网格拉伸的两个极值分辨率之间。使用四种不同的LES方法进行了数值研究。除了Smagorinsky模型外,还使用了三种隐式LES方法:线性插值(非耗散),Gamma限制器(耗散)和比例选择离散化(略有耗散)。结果表明,尽管Smagorinsky方法和比例选择离散方法产生的结果与非静态网格的分辨率一致,但是具有线性插值或Gamma方案的隐式LES却没有。版权所有(c)2016 John Wiley&Sons,Ltd.

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