arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.04804physics.flu-dynphysics.ao-ph
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湍流气泡破碎级联。部分2.破碎波的数值模拟

The turbulent bubble break-up cascade. Part 2. Numerical simulations of breaking waves

Wai Hong Ronald Chan, Perry L. Johnson, Parviz Moin, Javier Urzay

摘要:

破碎波产生随时间演变的气泡尺寸分布。了解这种分布如何演变对海洋和气候研究具有实际意义。在第1部分中开发的分析框架研究了这种演变是如何从大到小气泡尺寸的气泡质量通量,这取决于破碎事件的速率和子气泡尺寸的分布。第2部分通过模拟破碎波的集合,识别和跟踪单个气泡及其破碎事件,将这些统计数据作为时间的集合平均函数进行测量。破碎动力学被认为是统计上不稳定的,并确定了两个具有不同特征的间隔。在第一个区间,耗散率和气泡质量通量是准稳态的,第1部分的理论分析得到了所有观测统计数据的支持,包括超Hinze尺度尺寸分布的预期-10/3幂律指数。强的地方性观察到相应的气泡质量通量,支持存在一个超级欣策尺度的分解级联。在第二个时间间隔,耗散率衰减,和气泡质量通量增加的小型和中型气泡变得更加人口稠密。该通量保持强烈的局部性,具有类似级联的行为,但是尺寸分布的主要幂律指数增加到-8/3,因为小气泡也更快地耗尽。这表明在破碎波演化的不同阶段出现了不同的物理机制,尽管尺寸局部破碎仍然是一个主导主题。第1部分和第2部分介绍了两相流中总体平衡分析的分析工具包。

英文摘要:

Breaking waves generate a distribution of bubble sizes that evolves over time. Knowledge of how this distribution evolves is of practical importance for maritime and climate studies. The analytical framework developed in Part 1 examined how this evolution is governed by the bubble-mass flux from large to small bubble sizes, which depends on the rate of break-up events and the distribution of child bubble sizes. These statistics are measured in Part 2 as ensemble-averaged functions of time by simulating ensembles of breaking waves, and identifying and tracking individual bubbles and their break-up events. The break-up dynamics are seen to be statistically unsteady, and two intervals with distinct characteristics were identified. In the first interval, the dissipation rate and bubble-mass flux are quasi-steady, and the theoretical analysis of Part 1 is supported by all observed statistics, including the expected -10/3 power-law exponent for the super-Hinze-scale size distribution. Strong locality is observed in the corresponding bubble-mass flux, supporting the presence of a super-Hinze-scale break-up cascade. In the second interval, the dissipation rate decays, and the bubble-mass flux increases as small- and intermediate-sized bubbles become more populous. This flux remains strongly local with cascade-like behaviour, but the dominant power-law exponent for the size distribution increases to -8/3 as small bubbles are also depleted more quickly. This suggests the emergence of different physical mechanisms during different phases of the breaking-wave evolution, although size-local break-up remains a dominant theme. Parts 1 and 2 present an analytical toolkit for population balance analysis in two-phase flows.

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