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Aeroacoustic analysis of cavity flows using Quadratic Stochastic Estimation coupled with Proper Orthogonal Decomposition

机译:采用二次随机估计与适当正交分解的二次随机估计的空气声学分析

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New mathematical post-processing tools are proposed to investigate the noise emission in the well known cavity flow. Based on the causality principle, Proper Orthogonal Decomposition and Quadratic Stochatic Estimation are successively implemented to access the aerodynamic events which contribute to the main noise emission in such a flow. Proper Orthogonal Decomposition is firstly used to extract selected flow structure events. Based on the knowledge of these events, the Quadratic Stochastic Estimation of the far acoustic pressure field is performed. Such methodology is successively applied to 2-D and 3-D numerical database of a flow over a cavity. In the 2-D test case, it is then demonstrated that POD can extract relevant velocity data information which can be associated with selected frequencies in the far acoustic field. Conversely, in the 3-D test case, it appears that the three dimensional flow structures may have a signature in the whole POD basis. Then, some difficulties may appear in interpreting the QSE recontructed pressure field using as reference data selected flow events deduced from the POD basis. However, the whole results show the great potential of the QSE procedure coupling to POD to analyze experimental databases.
机译:建议新的数学后处理工具研究众所周知的腔流量中的噪声发射。基于因果关系原理,连续地实施适当的正交分解和二次上传估计以访问这种流动中有助于主噪声发射的空气动力学事件。首先用于提取所选择的流结构事件的适当正交分解。基于对这些事件的知识,执行远声压力场的二次随机估计。这种方法连续地应用于腔体的流量的2-D和3-D数数据库。在2-D测试情况下,然后证明POD可以提取可以与远声场中的所选频率相关联的相关速度数据信息。相反,在三维测试用例中,看起来三维流动结构可以在整个豆荚中具有签名。然后,可以出现一些困难在解释QSE重新系统的压力场中,用作从窗口推断的参考数据选择的流动事件。然而,整个结果表明QSE过程耦合到POD的巨大潜力以分析实验数据库。

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