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A cost-effective computational technique for aeroacoustic noise prediction using the SNGR method

机译:一种使用SNGR方法的空气声噪声预测成本有效的计算技术

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This paper presents the SNGR (Stochastic Noise Generation and Radiation) method. Based on RANS simulation input, this method strongly reduces the computation cost associated with the CFD simulation in comparison to direct LES-based acoustic noise source computations. After the theoretical description of the method, this work will analyze the numerical convergence of the different parameters involved in the source generation, namely: (i) number of random samples; (ii) number of turbulent modes; and (iii) CFD cell size. The numerical efficiency will also be evaluated. To do so, the solution for a low Mach number (M<0.1) panel HVAC duct will be considered and compared with experimental data and acoustic predictions based on unsteady CFD simulations available in the literature.
机译:本文介绍了SNGR(随机噪声发电和辐射)方法。 基于RAN模拟输入,该方法强烈降低了与CFD仿真相关的计算成本与基于LES的声噪声源计算相比。 在该方法的理论描述之后,这项工作将分析源生成中涉及的不同参数的数值汇聚,即:(i)随机样本的数量; (ii)湍流模式的数量; (iii)CFD细胞大小。 还将评估数值效率。 为此,将考虑低马赫数(M <0.1)面板HVAC管道的解决方案,并将其与基于文献中的不稳定CFD模拟的实验数据和声学预测进行比较。

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