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Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory

机译:利用熵理论推导二维幂律速度分布

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The one-dimensional (1D) power law velocity distribution, commonly used for computing velocities in open channel flow, has been derived empirically. However, a multitude of problems, such as scour around bridge piers, cutoffs and diversions, pollutant dispersion, and so on, require the velocity distribution in two dimensions. This paper employs the Shannon entropy theory for deriving the power law velocity distribution in two-dimensions (2D). The development encompasses the rectangular domain, but can be extended to any arbitrary domain, including a trapezoidal domain. The derived methodology requires only a few parameters and the good agreement is confirmed by comparing the velocity values calculated using the proposed methodology with values derived from both the 1D power law model and a logarithmic velocity distribution available in the literature.
机译:凭经验推导了通常用于计算明渠水流速度的一维(1D)幂律速度分布。但是,许多问题,例如桥墩周围的冲刷,截断和改道,污染物的扩散等,都需要二维速度分布。本文采用Shannon熵理论推导二维(2D)的幂律速度分布。该开发包含矩形域,但可以扩展到任何梯形域,包括梯形域。所推导的方法仅需几个参数,并且通过将使用所提出的方法计算的速度值与从一维幂定律模型和文献中可获得的对数速度分布推导出的值进行比较,可以确认良好的一致性。

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