首页> 外文会议>International Forum on Aeroelasticity and Structural Dynamics >USING PROPER ORTHOGONAL DECOMPOSITION AND DYNAMIC MODE DECOMPOSITION FOR COMPARING CFD RESULTS AND EXPERIMENTAL MEASUREMENTS
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USING PROPER ORTHOGONAL DECOMPOSITION AND DYNAMIC MODE DECOMPOSITION FOR COMPARING CFD RESULTS AND EXPERIMENTAL MEASUREMENTS

机译:使用适当的正交分解和动态模式分解,用于比较CFD结果和实验测量

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A method for the quantitative comparison of numerical and/or experimental data of unsteady aerodynamics around static and oscillating bodies is introduced. It is based on Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) to extract the dominant structures of the unsteady flow. The proposed method is applied to spatio-temporal data for the flow around a 4:1 rectangular cylinder. Experimental data are obtained from wind tunnel testing and two dimensional Time-resolved Particle Image Velocimetry (Tr-PIV) measurements, while unsteady Reynolds Averaged Navier-Stokes (uRANS) are used to compute numerical results. It is demonstrated that the two approaches are complementary and represent a powerful tool that enables the analysis and the quantitative comparison of the main spatial (POD) and temporal (DMD) characteristics of unsteady aerodynamic data.
机译:介绍了静态和振动体周围不稳定空气动力学的数值和/或实验数据的定量比较的方法。它基于适当的正交分解(POD)和动态模式分解(DMD)以提取不稳定流的主导结构。所提出的方法应用于矩形圆柱围绕4:1左右的流量的时空数据。实验数据从风隧道测试和二维时间分辨粒子图像速度(TR-PIV)测量获得,而不稳定的Reynolds vier-Stokes(URAN)用于计算数值结果。据证明这两种方法是互补的,代表一个强大的工具,可以实现分析和定量比较非稳态空气动力学数据的主空间(POD)和时间(DMD)特征。

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