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arXiv 1501.02498physics.flu-dyn
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单相和分散两相湍流颗粒模拟用拉格朗日随机模型公式化指南

Guidelines for the formulation of Lagrangian stochastic models for particle simulations of single-phase and dispersed two-phase turbulent flows

J. -P. Minier, S. Chibbaro, S. B. Pope

摘要:

本文建立了一组判据,用于讨论各种拉格朗日随机模型,这些模型既可用于模拟单相湍流中的流体颗粒,也可用于模拟离散湍流两相流中离散颗粒所见的流体。一个中心问题是提出拉格朗日随机模型必须满足的可靠性要求,而本分析所带来的一个新的要素是解决单和双参数随机模型。这种分析并不解决不同模型的相对预测能力的问题,而是集中在它们的制定上,因为不同制定的优点和缺点并不总是一致的。清楚事实上,从一种结构到另一种结构的变化中隐藏着一些可能的陷阱,这些陷阱可能导致实际模型构建中的缺陷和物理上不合理的数值计算。本方法的第一个兴趣是通过考虑文献中提出的一些模型,并显示这些标准有助于评估这些拉格朗日随机模型是否可以被视为可接受的描述。第二个兴趣是指出未来的发展如何可以安全地建立,这也是相关的随机子网格模型的背景下,颗粒负载流的大涡模拟。

英文摘要:

In this paper, we establish a set of criteria which are applied to discuss various formulations under which Lagrangian stochastic models can be found. These models are used for the simulation of fluid particles in single-phase turbulence as well as for the fluid seen by discrete particles in dispersed turbulent two-phase flows. A central issue is to put forward reliable requirements which must be met by Lagrangian stochastic models and a new element brought by the present analysis is to address the single- and two-phase flow situations from a unified point of view.This analysis does not address the question of the relative predictive capacities of different models but concentrates on their formulation since advantages and disadvantages of different formulations are not always clear. Indeed, hidden in the changes from one structure to another are some possible pitfalls which can lead to flaws in the construction of practical models and to physically-unsound numerical calculations. A first interest of the present approach is illustrated by considering some models proposed in the literature and by showing that these criteria help to assess whether these Lagrangian stochastic models can be regarded as acceptable descriptions. A second interest is to indicate how future developments can be safely built, which is also relevant for stochastic subgrid models for particle-laden flows in the context of Large Eddy Simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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