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Limitations of Depth-Averaged Modeling for Shallow Wakes

机译:浅唤醒深度平均建模的局限性

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Large-scale horizontal vortical structures are generic features of shallow flows which are often modeled using the two-dimensional (2D) depth-averaged equations. Such modeling is investigated for the well-defined case of shallow wakes of a conical island of small side slope for which a three-dimensional (3D) boundary-layer (3DBL) model has previously been validated through comparison with experiment. The 3DBL model used a 3D, two-mixing-length, eddy-viscosity turbulence model with a vertical mixing length of classical Prandtl form and a horizontal mixing length some multiple of this. A multiple of six gave good predictions. This mixing length approach is reduced to depth-averaged form, giving a horizontal mixing length of about half the water depth. The shallow wakes may be vortex shedding or steady/stable and are conventionally defined by a stability parameter. The critical value above which a stable wake is formed is considerably overestimated by the depth-averaged model (for a range of mixing lengths) and the length of stable wake bubble is considerably underestimated. It seems likely that this is because the amplification of friction coefficient due to horizontal strain rates is not represented. However, when vortex shedding is prominent the 2D and 3DBL wake structures are quite similar. These results show, for example, the limitations of depth-averaged models for the prediction of solute dispersion.
机译:大型水平涡旋结构是浅流的通用特征,通常使用二维(2D)深度平均方程式进行建模。对于小边坡的锥形岛的浅尾流的定义明确的情况,研究了这种建模,对于该情况,先前已通过与实验的比较验证了三维(3D)边界层(3DBL)模型。 3DBL模型使用了3D,两个混合长度的涡流-粘性湍流模型,其垂直混合长度为经典Prandtl形式,水平混合长度为该倍数。六的倍数给出了很好的预测。这种混合长度方法被简化为深度平均形式,从而提供了大约一半水深的水平混合长度。浅尾流可以是涡旋脱落或稳定/稳定的,并且通常由稳定性参数来定义。深度平均模型(对于一系列混合长度)大大高估了形成稳定尾流的临界值,而稳定尾流气泡的长度被低估了。似乎这是因为未表示由于水平应变率引起的摩擦系数的增大。但是,当涡旋脱落明显时,2D和3DBL尾流结构非常相似。这些结果表明,例如,深度平均模型在预测溶质分散方面的局限性。

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