首页> 外文OA文献 >Modeling the pressure Hessian and viscous Laplacian in turbulence: Comparisons with direct numerical simulation and implications on velocity gradient dynamics
【2h】

Modeling the pressure Hessian and viscous Laplacian in turbulence: Comparisons with direct numerical simulation and implications on velocity gradient dynamics

机译:在湍流中模拟压力Hessian和粘性Laplacian:与直接数值模拟的比较及其对速度梯度动力学的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Modeling the velocity gradient tensor A = del u along Lagrangian trajectories in turbulent flow requires closures for the pressure Hessian and viscous Laplacian of A. Based on an Eulerian Lagrangian change in variables and the so-called recent fluid deformation closure, such models were proposed recently [Chevillard and Meneveau, Phys. Rev. Lett. 97, 174501 (2006)]. The resulting stochastic model was shown to reproduce many geometric and anomalous scaling properties of turbulence. In this work, direct comparisons between model predictions and direct numerical simulation (DNS) data are presented. First, statistical properties of A are described using conditional averages of strain skewness, enstrophy production, energy transfer, and vorticity alignments, conditioned upon invariants of the velocity gradient. These conditionally averaged quantities are found to be described accurately by the stochastic model. More detailed comparisons that focus directly on the terms being modeled in the closures are also presented. Specifically, conditional statistics associated with the pressure Hessian and the viscous Laplacian are measured from the model and are compared with DNS. Good agreement is found in strain-dominated regions. However, some features of the pressure Hessian linked to rotation-dominated regions are not reproduced accurately by the model. Geometric properties such as vorticity alignment with respect to principal axes of the pressure Hessian are mostly predicted well. In particular, the model predicts that an eigenvector of the rate of strain will be also an eigenvector of the pressure Hessian, in accord with basic properties of the Euler equations. The analysis identifies under what conditions the Eulerian-Lagrangian change in variables with the recent fluid deformation closure works well, and in which flow regimes it requires further improvements. (C) 2008 American Institute of Physics. [DOI: 10.1063/1.3005832]
机译:对湍流中沿拉格朗日轨迹的速度梯度张量A = delu进行建模,需要对A的压力Hessian和粘性Laplacian进行封闭。基于欧拉变​​量的拉格朗日变化和所谓的最近流体变形封闭,最近提出了此类模型[Chevillard和Meneveau,物理学。牧师97,174501(2006)]。结果表明,所得的随机模型可再现许多湍流的几何和异常缩放特性。在这项工作中,提出了模型预测与直接数值模拟(DNS)数据之间的直接比较。首先,使用应变偏度,回旋产生,能量传递和涡度比对的条件平均值(以速度梯度的不变性为条件)描述A的统计性质。发现这些条件平均数量可以通过随机模型准确描述。还提供了更详细的比较,这些比较直接关注于在闭包中建模的术语。具体来说,从模型中测量与压力Hessian和粘性Laplacian相关的条件统计信息,并将其与DNS进行比较。在以菌株为主的地区发现了良好的一致性。但是,该模型无法准确地再现与旋转支配区域相关联的压力Hessian的某些特征。通常可以很好地预测几何特性,例如相对于压力Hessian主轴的涡度对齐。特别地,该模型预测,根据欧拉方程的基本性质,应变率的特征向量也将是压力Hessian的特征向量。该分析确定了在最近的流体变形封闭条件下,欧拉-拉格朗日变量的变化在什么条件下效果良好,以及在哪些流动状态下需要进一步改进。 (C)2008美国物理研究所。 [DOI:10.1063 / 1.3005832]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号