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Development of Combined CAA-CFD Algorithm for the Efficient Simulation of Aerodynamic Noise Generation and Propagation

机译:CAA-CFD算法的开发,用于高效仿真空气动力噪声生成和传播

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The purpose of this work is to develop efficient method for the prediction of aerodynamic noise generation and propagation in low Mach number flows in which dipole source, originating from unsteady pressure fluctuation on a solid surface, is known to be more efficient than quadrupole sources. This method is based on flow noise solvers using acoustic governing equations forced with immersed dipole source terms. The dipole source terms consist of point body forces immersed on each grid point on the solid surface. Their magnitudes are set by unsteady hydrodynamic pressure data previously calculated by incompressible Computational Fluid Dynamics Techniques. For comparison, modeled quadrupole source terms are also considered. These aeroacoustic solvers combined with CFD flow solver is applied to two-dimensional cylinder flow, which generate Karman vortex streets and resultant Aeolian tones. The properties and characteristics of sound generation process on and around the cylinder and of sound propagation through the background flows are analyzed in some detail.
机译:本作作品的目的是开发有效的方法,用于预测空气动力噪声产生,并且在该低马赫数流中的传播,其中偶极源源自固体表面上的不稳定压力波动,比四极源更有效。该方法基于流量噪声溶剂,其使用浸入浸没的偶极源术语来使用声学控制方程。偶极源术语由浸没在固体表面上的每个网格点上的点体力组成。它们的大小由先前通过不可压缩的计算流体动力学技术计算的不稳定流体动力学压力数据。为了比较,还考虑建模的四极源术语。这些气动声求解器与CFD流动求解器相结合,应用于二维气缸流,从而产生Karman Vortex街道和所得到的风中音调。在一些细节分析了气缸上和周围的声音生成过程的性质和特性和通过背景流程进行声音传播。

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