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A Similarity Model of Subfilter-Scale Energy for Large-Eddy Simulations of the Atmospheric Boundary Layer

机译:大气边界层大涡模拟的子滤波尺度能量相似模型

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A scale-similarity model to estimate the subfilter-scale energy using the trace of the Leonard stress tensor is proposed and evaluated for large-eddy simulations of the atmospheric boundary layer (ABL). The model is derived from a stability-dependent model of the energy spectrum in the ABL, which accounts for the effects of buoyancy and mean shear as a function of z/L, the Monin–Obukhov stability variable. An a priori test using ABL turbulence data demonstrates that the model has accurate performance for dimensionless filter widths of Δ/z = 2, 1, and 0.5 for stabilities of −1 ≤ z/L ≤ 0.5, and improves considerably upon a similar model that is derived using an infinite κ −5/3 spectrum. This improvement is especially significant in the first several grid points near the surface in large-eddy simulations of the ABL, where Δ/z is necessarily large. The modelling procedure is then extended to develop a similarity model for the subfilter-scale scalar variance; it is shown to have robust performance for temperature.
机译:提出了一个尺度相似模型,利用伦纳德应力张量的轨迹估算子滤波器尺度的能量,并对大气边界层(ABL)的大涡模拟进行了评估。该模型源自ABL中能量谱的依赖于稳定性的模型,该模型将浮力和平均剪切的影响作为Monin–Obukhov稳定性变量z / L的函数。使用ABL湍流数据进行的先验测试表明,该模型对于Δ/ z = 2、1,和0.5的无量纲滤波器宽度(对于-1≤z / L≤0.5的稳定性)具有准确的性能,并且在类似模型上具有显着改进使用无限的κ −5/3 谱导出。在ABL的大涡模拟中,在表面附近的前几个网格点中,此改进尤为重要,其中Δ/ z一定很大。然后扩展建模过程,以开发子滤波器级标量方差的相似性模型;它具有很强的温度性能。

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