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首页> 外文期刊>Journal of Sound and Vibration >Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array
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Identifying equivalent sound sources from aeroacoustic simulations using a numerical phased array

机译:使用数值相控阵列识别来自Aero声声仿真的等效声音源

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摘要

An application of phased array methods to numerical data is presented, aimed at identifying equivalent flow sound sources from aeroacoustic simulations. Based on phased array data extracted from compressible flow simulations, sound source strengths are computed on a set of points in the source region using phased array techniques assuming monopole propagation. Two phased array techniques are used to compute the source strengths: an approach using a Moore -Penrose pseudo -inverse and a beamforming approach using dual linear programming (dual -LP) deconvolution. The first approach gives a model of correlated sources for the acoustic field generated from the flow expressed in a matrix of cross- and auto-power spectral values, whereas the second approach results in a model of uncorrelated sources expressed in a vector of auto-power spectral values. The accuracy of the equivalent source model is estimated by computing the acoustic spectrum at a far -field observer. The approach is tested first on an analytical case with known point sources. It is then applied to the example of the flow around a submerged air inlet. The far field spectra obtained from the source models for two different flow conditions are in good agreement with the spectra obtained with a Ffowcs Williams-Hawkings integral, showing the accuracy of the source model from the observer's standpoint. Various configurations for the phased array and for the sources are used. The dual-LP beamforming approach shows better robustness to changes in the number of probes and sources than the pseudo-inverse approach. The good results obtained with this simulation case demonstrate the potential of the phased array approach as a modelling tool for aeroacoustic simulations. (C)2017 Elsevier Ltd. All rights reserved.
机译:提出了分阶段阵列方法对数值数据的应用,旨在识别来自航空声仿真的等效流声源。基于从可压缩流模拟中提取的相控阵列数据,使用假设单极传播的相控阵技术,在源区的一组点上计算声源强度。两个相控阵技术用于计算源强度:使用摩尔-PenRose伪 - 使用双线性编程(双-LP)折折叠的波束形成方法的方法。第一方法给出了从交叉和自动功率谱值的矩阵中表达的流程产生的声场的相关源的模型,而第二种方法导致在自动电源的向量中表示的不相关源的模型光谱值。通过在远场观察者处计算声学光谱来估计等效源模型的精度。首先在具有已知点源的分析案例上测试该方法。然后将其施加到浸没式空气入口周围的流动的例子。从两个不同流动条件的源模型获得的远场光谱与使用FFOCS Williams-Hawkings Integral获得的光谱吻合良好,显示了从观察者的角度来看源模型的精度。使用分阶段阵列和源的各种配置。双LP波束形成方法显示出比伪逆方法更好地改变探针和来源数量的鲁棒性。使用该模拟案例获得的良好结果证明了分阶段阵列方法作为机动性模拟的建模工具的潜力。 (c)2017 Elsevier Ltd.保留所有权利。

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