首页> 外文期刊>Journal of Engineering for Gas Turbines and Power >Investigation of In-Cylinder Engine Flow Quadruple Decomposition Dynamical Behavior Using Proper Orthogonal Decomposition and Dynamic Mode Decomposition Methods
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Investigation of In-Cylinder Engine Flow Quadruple Decomposition Dynamical Behavior Using Proper Orthogonal Decomposition and Dynamic Mode Decomposition Methods

机译:使用正确的正交分解和动态模式分解方法研究缸内发动机流量四重分解动力学行为

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摘要

In order to study the in-cylinder flow characteristics, one hundred consecutive cycles of velocity flow fields were investigated numerically by large eddy simulation, and the proper orthogonal decomposition (POD) algorithm was used to decompose the results. The computed flow fields were divided into four reconstructed parts, namely mean part, coherent part, transition part, and turbulent part. Then, the dynamic mode decomposition (DMD) algorithm was used to analyze the characteristics of the reconstructed fields. The results show that DMD method is capable of finding the dominant frequencies in every reconstructed flow part and identifying the flow structures at equilibrium state. In addition, the DMD results also reveal that the reconstructed parts are related to each other through the break-up and attenuation process of unstable flow structures, while the flow energy cascade occurs among these parts through different scale vortex generation and dissipation process.
机译:为了研究缸内流动特性,通过大涡模拟对速度流场的连续一百个周期进行了数值研究,并采用适当的正交分解(POD)算法对结果进行了分解。计算得到的流场分为四个重建部分,即平均部分,相干部分,过渡部分和湍流部分。然后,使用动态模式分解(DMD)算法来分析重建场的特征。结果表明,DMD方法能够找到每个重构流量部分的主导频率,并能识别处于平衡状态的流量结构。此外,DMD结果还表明,重建部分通过不稳定流动结构的破裂和衰减过程相互关联,而流动能量通过不同尺度的涡旋产生和消散过程发生在这些部分之间。

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