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A stochastic model of torques in von Karman swirling flow

机译:冯·卡门旋流中的转矩随机模型

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摘要

A stochastic model is derived to predict the turbulent torque produced by a swirling flow. It is a simple Langevin process, with a colored noise. Using the unified colored noise approximation, we derive analytically the PDF of the fluctuations of injected power in two forcing regimes: constant angular velocity or constant applied torque. In the limit of small velocity fluctuations and vanishing inertia, we predict that the injected power fluctuates twice less in the case of constant torque than in the case of constant angular velocity forcing. The model is further tested against experimental data in a von Karman device filled with water. It is shown to allow for a parameter-free prediction of the PDF of power fluctuations in the case where the forcing is made at constant torque. A physical interpretation of our model is finally given, using a quasi-linear model of turbulence.
机译:推导了一个随机模型来预测旋流产生的湍流转矩。这是一个简单的Langevin工艺,带有彩色噪音。使用统一的有色噪声逼近,我们可以分析得出两种强制方式下注射功率波动的PDF:恒定角速度或恒定施加扭矩。在较小的速度波动和消失的惯性的极限下,我们预测在恒定转矩情况下的注入功率波动比在恒定角速度强迫情况下的波动少两倍。在装满水的von Karman设备中针对实验数据进一步测试了该模型。示出了在以恒定转矩进行强迫的情况下,可以无参数地预测功率波动的PDF。最后使用准线性湍流模型对模型进行了物理解释。

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