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Statistical analysis methods for transient flows - the dam-break case

机译:瞬时流量的统计分析方法-大坝破坏案例

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Transient flows differ from steady flows in the sense that their dynamic variables, e.g. velocity, change with time. This imposes several constraints both on the measurement techniques to use as well on the data processing. The dam-break flow, as an example of severe transient flow, is used in this paper as test case for the application of different statistical methods identified in the literature: the common statistical tools (e.g. time average, standard deviation), the application of a Fourier-series-based method and the ensemble statistics approach. Data were collected using a fast acquisition camera and particle image velocimetry was used to obtain quantitative information about the velocity field of a set of seven dam-break flows. From the analysis made in this paper it was possible to identify in which conditions each statistical method can be applied to the dam-break flow.
机译:瞬时流量与稳定流量的不同之处在于其动态变量(例如,速度,随时间变化。这对要使用的测量技术以及数据处理都施加了一些约束。溃坝水流作为严重瞬态水流的一个例子,在本文中用作测试案例,以应用文献中确定的不同统计方法:常用的统计工具(例如时间平均值,标准偏差),基于傅立叶级数的方法和整体统计方法。使用快速采集相机收集数据,并使用粒子图像测速仪获得有关一组七个溃坝水流速度场的定量信息。通过本文的分析,可以确定每种统计方法可以在哪种情况下应用于大坝溃坝流量。

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