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Benchmark on the Dynamics of Liquid Draining Inside a Tank

机译:罐内液体排放动力学的基准

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摘要

Immense information and details observation of flow physics inside a draining tank can be achieved by adopting reliable numerical simulations. Yet the accuracy of numerical results has been always debatable and it is mainly affected by the grid convergence error and computational modeling approaches. Hence, this study is divided into two stages. In the first stage, this paper determines a systematic method of refining a computational grid for a liquid draining inside a tank using OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is also examined. In order to study the effect of grid dependency, three different grid refinements are investigated: fine, medium and coarse grids. By using a form of Richardson extrapolation and Grid Convergence Index (GCI), the level of grid independence is attained. In this paper, a monotonic convergence criteria is reached when the fine grid has the GCI value below 10% for each parameter. In the second stage, different computational modeling approaches (DNS, RANS k-ε, RANS k-ω and LES turbulence models) are investigated using the finer grid from the first stage. The results for the draining time and flow visualization of the generation of an air-core are in a good agreement with the available published data. The Direct Numerical Simulation (DNS) seems most reasonably satisfactory for VOF studies relating air-core compared to other different turbulence modeling approaches.
机译:通过采用可靠的数值模拟,可以实现对排水箱内流动物理学的大量信息和细节观察。然而,数值结果的准确性一直存在争议,主要受网格收敛误差和计算建模方法的影响。因此,本研究分为两个阶段。在第一阶段,本文确定了一种使用OpenFOAM软件完善罐内排液计算网格的系统方法。还检查了计算出的流场对不同网格分辨率的敏感性。为了研究网格依赖性的影响,研究了三种不同的网格细化:精细,中等和粗网格。通过使用某种形式的Richardson外推法和Grid Convergence Index(GCI),可以达到网格独立性的水平。在本文中,当细网格的每个参数的GCI值低于10%时,将达到单调收敛准则。在第二阶段,使用来自第一阶段的更精细的网格,研究了不同的计算建模方法(DNS,RANSk-ε,RANSk-ω和LES湍流模型)。空心管生成的排水时间和流量可视化结果与可用的公开数据非常吻合。与其他不同的湍流建模方法相比,直接数值模拟(DNS)对于与空心有关的VOF研究似乎最为合理。

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