论文标题
基于一维湍流的较低阶段的射流噪声预测
On a lower-order framework for jet noise prediction based on one-dimensional turbulence
论文作者
论文摘要
噪声预测需要在湍流的所有尺度上解决相关的声源。高分辨率直接数值和大涡模拟是理想的选择，但是尽管高性能计算的发展，两者通常都太昂贵了。因此，低阶建模方法是普遍兴趣的。准确的预测建模的关键但站立的问题是对模型量表中缺失噪声的估计。在本文中，我们通过提出一个新型的低阶框架来解决这个问题，该框架将一维湍流模型耦合到FFOWCS-WILLIAMS和HAWKINGS接近，以预测亚音速湍流圆形喷气机的远场噪声。
Noise prediction requires the resolution of relevant acoustic sources on all scales of a turbulent flow. High-resolution direct numerical and large-eddy simulation would be ideal but both are usually too costly despite developments in high performance computing. Lower-order modeling approaches are therefore of general interest. A crucial but standing problem for accurate predictive modeling is the estimation of missing noise from the modeled scales. In this paper we address this problem by presenting a novel lower-order framework that couples the one-dimensional turbulence model to the Ffowcs-Williams and Hawkings approach for prediction of the far-field noise of a subsonic turbulent round jet.
