Transition to Limit-Cycle Oscillation in Fluid-Structure Interactions: Mutual Correlations and Causal Dependencies
Transition to Limit-Cycle Oscillation in Fluid-Structure Interactions: Mutual Correlations and Causal Dependencies
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DOI：
10.2514/1.j062082
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发表时间：
2022-12
期刊：
影响因子：
2.5
通讯作者：
Sombuddha Bagchi;Vishnu R Unni;A. Saha
中科院分区：
文献类型：
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作者：
Sombuddha Bagchi;Vishnu R Unni;A. Saha
本文研究了悬臂梁在湍流中的结构波动所对应的动力学特性。为了研究复杂的动力学的流-结构相互作用，首先，我们探索网络分析的能力，以确定不同的动态状态和探测的可行性使用量词的网络拓扑结构的发病的极限环振荡的前兆。通过增加雷诺数，我们观察到的结构振荡，使用应变计测量，从低振幅的混沌振荡过渡到大振幅的周期性振荡与极限环振荡。我们通过构建的加权相关网络的时间序列的应变和识别的网络特性，有可能被用作极限环振荡的发病前兆系统的动态特征。此外，我们使用皮尔逊相关来说明结构振荡和流场之间的相互统计影响的演变。我们使用这些信息和格兰杰因果关系，以确定结构振荡和速度波动之间的因果关系。通过确定在每个政权的因果变量，我们说明了方向的依赖性，通过因果关系，在这种流动结构的相互作用，因为它过渡到极限环振荡。
We investigate the dynamic characteristics corresponding to the structural fluctuations of a cantilever suspended in a turbulent flow. To investigate the intricate dynamics of the flow–structure interaction, first, we explore the ability of network analysis to identify the different dynamic states and probe the viability of using quantifiers of network topology as precursors for the onset of limit-cycle oscillations. By increasing the Reynolds number, we observe that the structural oscillations, measured using a strain gauge, transition from low-amplitude chaotic oscillations to large-amplitude periodic oscillations associated with limit-cycle oscillations. We characterize the dynamic states of the system by constructing the weighted correlation network from the time series of strain and identifying the network properties that have the potential to be used as precursors for the onset of limit-cycle oscillations. Furthermore, we use Pearson correlation to illustrate the evolution of mutual statistical influence between the structural oscillations and the flowfield. We use this information and the Granger causality to identify the causal dependence between the structural oscillations and velocity fluctuations. By identifying the causal variable during each regime, we illustrate the directional dependence through a cause–effect relationship in this flow–structure interaction as it transitions to limit-cycle oscillations.