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Maxwell Velocity Distribution for a Stochastic Ensemble of Thermals in a Turbulent Convective Mixed-Layer: Kinetic Approach

机译:湍流对流混合层中热量随机整合的麦克斯韦速度分布:动力学方法

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In this paper, we develop a stochastic model of an ensemble of convective eddies that produces an equilibrium velocity distribution of thermals. In the model, mixed-layer thermals are assumed to possess identical buoyancy and are considered as rigid balls of constant radii. The motion of an ensemble of convective eddies is described using a Langevin equation with a nonlinear dissipative force and a random force whose structure is known for an ensemble of Brownian particles. It is shown that the probability density of an ensemble of thermals satisfies the K-form of the kinetic Fokker-Planck equation with variable coefficients. The Maxwell equilibrium velocity distribution of convective thermals is constructed as a stationary solution of the Fokker-Planck equation. It is shown that the Maxwell velocity distribution well approximates experimental distributions in the turbulent convective mixed-layer.
机译:在本文中,我们开发了一种对流漩涡的集合的随机模型,其产生了热的平衡速度分布。在模型中,假设混合层热量具有相同的浮力,并且被认为是恒定半径的刚性球。使用具有非线性耗散力的Langevin等式和一种随机力来描述对流涡流的运动的运动,其结构是用于褐色颗粒的整体的结构。结果表明,热量集合的概率密度满足具有可变系数的动力学Fokker-Planck方程的K形式。对流热的麦克斯韦平衡速度分布构造为Fokker-Planck方程的固定解。结果表明,麦克斯韦尔速度分布很好地近似于湍流对流混合层中的实验分布。

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