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Prediction of velocity-dip-position over entire cross section of open channel flows using entropy theory

机译:基于熵理论的明渠全断面速度倾角位置预测

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摘要

An analytical model to predict the velocity-dipposition is presented in this study. Unlike the previous studies where empirical or semiempirical models were suggested, in this study the model is derived by using entropy theory. Using the principle of maximum entropy, the model for dip-position is derived by maximizing the Shannon entropy function after assuming dimensionless dip-position as a random variable. No estimation of empirical parameter is required for calculating dip-position from the proposed model. The model is capable of predicting the velocity-dip-position at any section from sidewall region (along lateral direction) of an open channel with any aspect ratio. The ratio of mean to maximum value of dip-position is analyzed from data, and it is found that ratio is almost constant for narrow open channels and it increases with aspect ratio for wide open channels. A relation is also proposed to predict this ratio in case of wide open channels. The developed model of velocity-dip-position is tested with existing experimental data for a wide range of aspect ratio and is also compared with other empirical models. The present model shows good agreement with the observed data and is comparable with the existing models.
机译:在这项研究中提出了一个预测速度分布的解析模型。与以前的建议采用经验或半经验模型的研究不同,本研究中的模型是通过使用熵理论得出的。使用最大熵原理,在将无量纲倾角位置作为随机变量后,通过最大化香农熵函数,得出倾角位置模型。从所提出的模型计算倾角位置不需要经验参数的估计。该模型能够以任何纵横比从开放通道的侧壁区域(沿横向)预测任何截面的速度浸入位置。从数据分析了浸入位置的平均值与最大值的比率,发现对于狭窄的开放通道该比率几乎是恒定的,并且对于宽的开放通道其比率随着纵横比而增加。还提出了一种关系来预测宽通道情况下的该比率。已开发的速度浸入位置模型已通过现有的实验数据在宽高比范围内进行了测试,并且还与其他经验模型进行了比较。本模型与观测数据显示出良好的一致性,可与现有模型进行比较。

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