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Hindered Settling Velocity in Particle-Fluid Mixture: A Theoretical Study Using the Entropy Concept

机译:颗粒-流体混合物中的阻碍沉降速度:使用熵概念的理论研究

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In the study of mechanics of sediment transport, settling velocity is one of the important parameters because it is needed to solve the governing equations. It has been established that the presence of particles in the flow reduces the settling velocity of a particle, and this phenomenon is commonly known as hindered settling. The clear water settling and hindered settling of a particle are mathematically connected by a concentration function and a term in the power of concentration function, which is known as the exponent of reduction of settling velocity. Based on several turbulent features, a number of experimental and theoretical investigations have been carried out to formulate deterministic mathematical models on the exponent of reduction of settling velocity. However, a probabilistic study to formulate such models is still lacking in the literature. The present study therefore focuses on the modeling of exponent of reduction of settling velocity in a sediment-laden flow probabilistically, which is explored using the concept of entropy theory. The model is shown to be a function of particle Reynolds number, volumetric concentration, and relative mass density of sediment particles through the inclusion of these parameters in a hypothesized cumulative distribution function. The authors tested the model using experimental data from the literature and also compared these data with those of existing models. Relative percentage error between the observed and computed values of all the models shows the better prediction accuracy of this model in comparison to the others. (C) 2017 American Society of Civil Engineers.
机译:在输沙力学研究中,沉降速度是重要的参数之一,因为它需要求解控制方程。已经确定的是,流中颗粒的存在降低了颗粒的沉降速度,这种现象通常被称为阻碍沉降。颗粒的清水沉降和障碍沉降在数学上通过浓度函数和浓度幂函数中的一项进行数学连接,这被称为沉降速度降低的指数。基于几种湍流特征,已经进行了许多实验和理论研究,以建立关于沉降速度降低指数的确定性数学模型。但是,文献中仍缺乏对这种模型进行公式化的概率研究。因此,本研究着重研究概率模型在含泥沙流中降低沉降速度的指数,这是使用熵理论的概念探索的。通过将这些参数包含在假设的累积分布函数中,该模型显示为颗粒雷诺数,体积浓度和沉积物颗粒的相对质量密度的函数。作者使用来自文献的实验数据对模型进行了测试,并将这些数据与现有模型的数据进行了比较。所有模型的观测值与计算值之间的相对百分比误差表明,与其他模型相比,该模型的预测精度更高。 (C)2017年美国土木工程师学会。

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