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首页> 外文期刊>Physica Scripta: An International Journal for Experimental and Theoretical Physics >On coarse-grained simulations of turbulent material mixing
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On coarse-grained simulations of turbulent material mixing

机译：关于湍流物料混合的粗粒模拟

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摘要

Under-resolved computer simulations are typically unavoidable in many practical turbulent flow applications exhibiting extreme geometrical complexity and broad ranges of length and time scales. In such applications, coarse-grained simulation (CGS) becomes the effective simulation strategy, mostly by necessity rather than by choice. In CGS strategies, resolved/unresolved scale separation is assumed possible, large energy-containing structures are mostly resolved, smaller structures are spatially filtered out and unresolved subgrid effects are modeled; this includes classical large-eddy simulation (LES) strategies with the explicit use of closure subgrid scale models and implicit LES, relying on subgrid modeling implicitly provided by physics-capturing numerical algorithms. Predictability issues in CGS of under-resolved mixing of material scalars driven by under-resolved velocity fields and initial conditions are addressed in this paper, and shock-driven turbulent mixing is a particular focus.
机译：在许多实际的湍流应用中，解析度欠佳的计算机模拟通常是不可避免的，这些应用显示出极高的几何复杂性以及宽范围的长度和时间尺度。在此类应用中，粗粒度模拟（CGS）成为有效的模拟策略，主要是根据需要而不是根据选择。在CGS策略中，假定解析的/未解析的规模分离是可能的，大型的包含能量的结构被解析，较小的结构在空间上被滤除，并且未解析的子网格效应被建模。这包括经典的大涡模拟（LES）策略，该策略显式地使用了封闭子网格比例模型和隐式LES，这依赖于物理捕获数值算法隐式提供的子网格模型。本文解决了由欠解析速度场和初始条件驱动的材料标量欠解析混合的CGS中的可预测性问题，而冲击驱动的湍流混合是一个特别的重点。

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