Reduced-Order Modeling and Analysis of Unsteady Rotor Hub Flows

Tristan D. Wall, J. Coder
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Abstract

Modal Decomposition is used to characterize high-fidelity flow fields for several different helicopter rotor hub variations in forward flight. Computational Fluid Dynamics (CFD) are carried out using the NASA OVERFLOW 2.2, Reynolds averaged Navier-Stokes solver. The simulated flow conditions and computational grids are based on experiments performed in a water tunnel at flight-relevant Reynolds numbers. The grids and computational methods used are discussed in further detail. Fast Fourier Transforms (FFT) are used to examine the force harmonics on the the surfaces of various hubs, revealing a dependence on geometric forcing. Mean-subtracted, space-only POD of the predicted lift and drag show a slow decay of modal energy, implying that a large number of modes is necessary to model the rotor hub. Space-only POD and Spectral Proper Orthogonal Decomposition (SPOD) are also used in an attempt to isolate and identify coherent flow structures in the rotor hub wake.
非定常转子轮毂流动的降阶建模与分析
采用模态分解方法对直升机旋翼轮毂前飞过程中几种不同变化形式的高保真流场进行了表征。计算流体动力学(CFD)使用NASA OVERFLOW 2.2, Reynolds平均Navier-Stokes求解器进行。模拟的流动条件和计算网格是基于与飞行相关的雷诺数在水洞中进行的实验。进一步详细讨论了所使用的网格和计算方法。快速傅里叶变换(FFT)用于检查各种轮毂表面的力谐波,揭示了几何力的依赖性。平均减去预测升力和阻力的空间POD显示模态能量的缓慢衰减,这意味着需要大量的模态来建模转子轮毂。此外,还采用了全空POD和谱固有正交分解(SPOD)来分离和识别转子轮毂尾迹中的相干流结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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