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首页> 外文期刊>Flow, turbulence and combustion >Development of Gas-Particle Euler-Euler LES Approach: A Priori Analysis of Particle Sub-Grid Models in Homogeneous Isotropic Turbulence
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Development of Gas-Particle Euler-Euler LES Approach: A Priori Analysis of Particle Sub-Grid Models in Homogeneous Isotropic Turbulence

机译:气粒Euler-Euler LES方法的发展:均质各向同性湍流中粒子子网格模型的先验分析

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摘要

A new large eddy simulation (LES) approach for particle-laden turbulent flows in the framework of the Eulerian formalism for inertial particle statistical modelling is developed. Local instantaneous Eulerian equations for the particle cloud are first written using the mesoscopic Eulerian formalism (MEF) proposed by F,vrier et al. (J Fluid Mech 533:1-46, 2005), which accounts for the contribution of an uncorrelated velocity component for inertial particles with relaxation time larger than the Kolmogorov time scale. Second, particle LES equations are obtained by volume filtering the mesoscopic Eulerian ones. In such an approach, the particulate flow at larger scales than the filter width is recovered while sub-grid effects need to be modelled. Particle eddy-viscosity, scale similarity and mixed sub-grid stress (SGS) models derived from fluid compressible turbulence SGS models are presented. Evaluation of such models is performed using three sets of particle Lagrangian results computed from discrete particle simulation (DPS) coupled with fluid direct numerical simulation (DNS) of homogeneous isotropic decaying turbulence. The two phase flow regime corresponds to the dilute one where two-way coupling and inter-particle collisions are not considered. The different particle Stokes number (based on Kolmogorov time scale) are initially equal to 1, 2.2 and 5.1. The mesoscopic field properties are analysed in detail by considering the particle velocity probability function (PDF), correlated velocity power spectra and random uncorrelated velocity moments. The mesoscopic fields measured from DPS+DNS are then filtered to obtain large scale fields. A priori evaluation of particle sub-grid stress models gives comparable agreement than for fluid compressible turbulence models. It has been found that the standard Smagorinsky eddy-viscosity model exhibits the smaller correlation coefficients, the scale similarity model shows very good correlation coefficient but strongly underestimates the sub-grid dissipation and the mixed model is on the whole superior to pure eddy-viscosity model.
机译:开发了一种新的大涡模拟(LES)方法,该方法在欧拉形式主义的框架下对惯性粒子统计模型进行了载流子湍流模拟。首先使用F.vrier等人提出的介观欧拉形式主义(MEF)编写粒子云的局部瞬时欧拉方程。 (J Fluid Mech 533:1-46,2005),它解释了弛豫时间大于Kolmogorov时间尺度的惯性粒子的不相关速度分量的贡献。其次,通过对介观欧拉方程进行体积滤波,获得粒子LES方程。在这种方法中,以比过滤器宽度大的比例的颗粒流被回收,同时需要对子网格效果进行建模。提出了从流体可压缩湍流SGS模型获得的颗粒涡粘性,尺度相似性和混合亚网格应力(SGS)模型。使用从离散粒子模拟(DPS)以及均质各向同性衰减湍流的流体直接数值模拟(DNS)算出的三组粒子拉格朗日结果,进行此类模型的评估。两相流态对应于稀释态,其中不考虑双向耦合和粒子间碰撞。不同的粒子斯托克斯数(基于Kolmogorov时间标度)最初等于1、2.2和5.1。通过考虑粒子速度概率函数(PDF),相关速度功率谱和随机不相关速度矩来详细分析介观场属性。然后,对从DPS + DNS测量的介观场进行滤波以获得大规模场。与流体可压缩湍流模型相比,粒子亚网格应力模型的先验评估具有可比的一致性。已经发现标准的Smagorinsky涡粘性模型具有较小的相关系数,尺度相似性模型具有很好的相关系数,但是强烈低估了子网格耗散,并且混合模型总体上优于纯涡粘性模型。 。

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