Experimental Investigation of the Shock-Related Unsteadiness around a Spiked-Blunt Body Based on a Novel DMD Energy Sorting Criterion

Yifan Wang, Jinglei Xu, Qihao Qin, Ruiqing Guan, Le Cai
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Abstract

In this study, we propose a novel dynamic mode decomposition (DMD) energy sorting criterion that works in conjunction with the conventional DMD amplitude-frequency sorting criterion on the high-dimensional schlieren dataset of the unsteady flow of a spiked-blunt body at Ma = 2.2. The study commences by conducting a comparative analysis of the eigenvalues, temporal coefficients, and spatial structures derived from the three sorting criteria. Then, the proper orthogonal decomposition (POD) and dynamic pressure signals are utilised as supplementary resources to explore their effectiveness in capturing spectral characteristics and spatial structures. The study concludes by summarising the characteristics and potential applications of DMD associated with each sorting criterion, as well as revealing the predominant flow features of the unsteady flow field around the spiked-blunt body at supersonic speeds. Results indicate that DMD using the energy sorting criterion outperforms the amplitude and frequency sorting criteria in identifying the primary structures of unsteady pulsations in the flow field, which proves its superiority in handling an experimental dataset of unsteady flow fields. Moreover, the unsteady pulsations in the flow field around the spiked-blunt body under supersonic inflow conditions are observed to exhibit multi-frequency coupling, with the primary frequency of 3.3 kHz originating from the periodic motion of the aftershock.
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基于新型 DMD 能量排序准则的尖钝体周围冲击相关不稳定性实验研究
在本研究中,我们提出了一种新的动态模态分解(DMD)能量排序准则,该准则与传统的 DMD 振幅频率排序准则相结合,适用于 Ma = 2.2 时尖头钝体非稳态流的高维离散数据集。研究首先对三种排序准则得出的特征值、时间系数和空间结构进行了比较分析。然后,利用适当正交分解(POD)和动态压力信号作为补充资源,探讨它们在捕捉频谱特征和空间结构方面的有效性。研究最后总结了与每种分类标准相关的 DMD 特性和潜在应用,并揭示了超音速下尖头钝体周围不稳定流场的主要流动特征。结果表明,在识别流场中不稳定脉动的主要结构方面,使用能量排序准则的 DMD 优于振幅和频率排序准则,这证明了其在处理不稳定流场实验数据集方面的优越性。此外,在超音速流入条件下,观察到尖钝体周围流场中的非稳态脉动表现出多频耦合,其中 3.3 kHz 的主频源于余震的周期性运动。
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