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Investigation of the Low-Frequency Breathing Motion in Two Turbulent Separation Bubbles

机译:两个湍流分离气泡中低频呼吸运动的研究

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Unsteady measurements of fluctuating pressure and velocity are performed in a pressure-induced turbulent separation bubble (TSB). The streamwise distributions of mean pressure coefficient, fluctuating pressure coefficient, and forward-flow fraction are scaled with either the distance L_(50) between transitory detachment and transitory reattachment, or the distance L_(99) between incipient detachment and complete reattachment. The normalized distributions are compared to those obtained in a larger TSB investigated in a previous publication. It is shown that Lgg is better suited than L_(50) to scale the streamwise extent of the separated flows. The low-frequency breathing motion in both TSBs is identified through its pressure signature near incipient detachment and through the first POD mode of horizontal and vertical velocity fields. Contrary to what is observed for the streamwise extent of the TSBs, a Strouhal number based on L_(50) shows a better collapse of the power spectral densities near the dominant frequency of the breathing mode. This suggests that the size of the region of mean back-flow is an important parameter of the breathing motion.
机译:在压力引起的湍流分离气泡(TSB)中进行不稳定的压力和速度测量。平均压力系数,脉动压力系数和前向流量分数的沿河方向的分布可通过瞬时脱离和短暂重新附着之间的距离L_(50)或初始脱离和完全重新附着之间的距离L_(99)进行缩放。将归一化分布与先前出版物中研究的较大TSB中获得的分布进行比较。结果表明,Lgg比L_(50)更适合缩放分离流的流向范围。两个TSB中的低频呼吸运动通过其在初期脱离时的压力信号以及水平和垂直速度场的第一种POD模式来识别。与在TSB的流向范围上观察到的相反,基于L_(50)的Strouhal数显示了在呼吸模式的主频附近功率谱密度更好地崩溃。这表明平均回流面积的大小是呼吸运动的重要参数。

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