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Turbulence mechanism in Klebanoff transition: A quantitative comparison of experiment and direct numerical simulation

机译:Klebanoff过渡中的湍流机理:实验与直接数值模拟的定量比较

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摘要

The mechanism of turbulence development in periodic Klebanoff transition in a boundary layer has been studied experimentally and in a direct numerical simulation (DNS) with controlled disturbance excitation. In order to compare the results quantitatively, the flow parameters were matched in both methods, thus providing complementary data with which the origin of turbulence in the transition process could be explained. Good agreement was found for the development of the amplitude and shape of typical disturbance structures, the A-vortices, including the development of ring-like vortices and spikes in the time traces. The origin and the spatial development of random velocity perturbations were measured in the experiment, and are shown together with the evolution of local high-shear layers. Since the DNS is capable of providing the complete velocity and vorticity fields, further conclusions are drawn based on the numerical data. The mechanisms involved in the flow randomization process are presented in detail. It is shown how the random perturbations which initially develop at the spike-positions in the outer part of the boundary layer influence the flow randomization process close to the wall. As an additional effect, the interaction of vortical structures and high-shear layers of different disturbance periods was found to be responsible for accelerating the transition to a fully developed turbulent flow. These interactions lead to a rapid intensification of a high-shear layer very close to the wall that quickly breaks down because of the modulation it experiences through interactions with vortex structures from the outer part of the boundary layer. The final breakdown process will be shown to be dominated by locally appearing vortical structures and shear layers. [References: 48]
机译:在边界层的周期性Klebanoff过渡中湍流发展的机理已经进行了实验研究,并在具有受控干扰激励的直接数值模拟(DNS)中进行了研究。为了定量比较结果,两种方法中的流动参数都匹配,从而提供了补充数据,可以用这些数据解释过渡过程中的湍流起源。对于典型扰动结构(A涡)的振幅和形状的发展,包括环形涡和时间迹线的尖峰的发展,发现了很好的一致性。在实验中测量了随机速度扰动的起源和空间发展,并与局部高剪切层的演化一起显示。由于DNS能够提供完整的速度场和涡度场,因此根据数值数据得出进一步的结论。详细介绍了流程随机化过程中涉及的机制。它显示了最初在边界层外部的尖峰位置产生的随机扰动如何影响靠近壁的流量随机化过程。另外,还发现涡旋结构与不同扰动周期的高剪切层之间的相互作用是加速过渡到充分发展的湍流的原因。这些相互作用导致非常靠近壁的高剪切层的迅速增强,该高剪切层由于与边界层外部的涡旋结构相互作用而经历的调制而迅速破裂。最终的破裂过程将显示为局部出现的旋涡结构和剪切层。 [参考:48]

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