紊流壁面模拟颗粒/网格PDF方法分析

IF 0.8 Q3 STATISTICS & PROBABILITY Monte Carlo Methods and Applications Pub Date : 2023-10-19 DOI:10.1515/mcma-2023-2017
Guilhem Balvet, Jean-Pierre Minier, Yelva Roustan, Martin Ferrand
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引用次数: 0

摘要

拉格朗日随机方法被广泛应用于紊流模型。然而,很少考虑到近壁区域的处理和适当的壁-边界条件的制定。关于这个问题,本文的主要目的是在依赖概率密度函数(PDF)模型的粒子/网格公式时对这种流动进行深入分析。这可以转化为三个目标。第一个目标是评估现有的非弹性壁面边界条件,并提出新的验证结果。第二个目标是分析平均场在粒子位置的插值对其动力学的影响。第三个目标是研究在粗体积上提取协方差估计时空间误差对协方差估计的影响。所有这些发展都可以确定,即使在粗糙的空间分辨率下,也可以适当地捕获有壁流动的关键动态统计数据。
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Analysis of wall-modelled particle/mesh PDF methods for turbulent parietal flows
Abstract Lagrangian stochastic methods are widely used to model turbulent flows. Scarce consideration has, however, been devoted to the treatment of the near-wall region and to the formulation of a proper wall-boundary condition. With respect to this issue, the main purpose of this paper is to present an in-depth analysis of such flows when relying on particle/mesh formulations of the probability density function (PDF) model. This is translated into three objectives. The first objective is to assess the existing an-elastic wall-boundary condition and present new validation results. The second objective is to analyse the impact of the interpolation of the mean fields at particle positions on their dynamics. The third objective is to investigate the spatial error affecting covariance estimators when they are extracted on coarse volumes. All these developments allow to ascertain that the key dynamical statistics of wall-bounded flows are properly captured even for coarse spatial resolutions.
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来源期刊
Monte Carlo Methods and Applications
Monte Carlo Methods and Applications STATISTICS & PROBABILITY-
CiteScore
1.20
自引率
22.20%
发文量
31
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