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首页> 外文期刊>Annual Review of Fluid Mechanics >Lagrangian Dynamics and Models of the Velocity Gradient Tensor in Turbulent Flows
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Lagrangian Dynamics and Models of the Velocity Gradient Tensor in Turbulent Flows

机译:湍流中的拉格朗日动力学和速度梯度张量模型

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摘要

Many fundamental and intrinsic properties of small-scale motions in turbulence can be described using the velocity gradient tensor. This tensor encodes interesting geometric and statistical information such as the alignment of vorticity with respect to the strain-rate eigenvectors, rate of deformation and shapes of fluid material volumes, non-Gaussian statistics, and intermittency.In the inertial range of turbulence, similar properties can be described using the coarse-grained or filtered velocity gradient tensor. In this article we review various models that aim at understanding these phenomena using a small number of ordinary differential equations, written either as a lowdimensional dynamical system or as a set of stochastic differential equations.Typically these describe the Lagrangian evolution of the velocity gradient tensor elements following fluid particles and require models for the pressure Hessian and viscous effects. Sample results from various models are shown,and open challenges are highlighted.
机译:湍流中小尺度运动的许多基本和内在特性可以使用速度梯度张量来描述。该张量编码有趣的几何和统计信息,例如涡度相对于应变率特征向量的对准,流体材料体积的变形率和形状,非高斯统计量和间断性。在湍流的惯性范围内,相似的特性可以使用粗粒度或滤波后的速度梯度张量来描述。在本文中,我们回顾了旨在使用少量常微分方程(以低维动力系统或一组随机微分方程编写)理解这些现象的各种模型,这些模型通常描述了速度梯度张量元素的拉格朗日演化跟随流体颗粒,并需要压力Hessian和粘性效应模型。显示了来自各种模型的样本结果,并突出了未解决的挑战。

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