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Modal Deconvolution Method in a Finite Circular Duct, using Flush-mounted Microphones

机译:使用嵌入式麦克风在有限圆管中的模态反褶积方法

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A large range of modal decomposition method of the acoustic pressure field propagating in duct is available. In most cases, modes are assumed to be uncorrelated. In this paper, we introduce a deconvolution method for azimuthal and radial modal detection, considering that modes are correlated or not. This method is based on the iterative minimization of the discrepancy, in the least-square sense, between flush-mounted microphone measurements and an analytical model. In the first part, the deconvolution method is introduced, with underlying hypotheses. In the second part, in-house test bench is presented and the numerical evaluation of the identification accuracy is investigated. In the third part, our approach is applied to experimental measurements obtained with test bench. Numerical and experimental evaluations give promising results hut have to be proceed. Correlated modes hypothesis gives better results as reflections may occur at the end of the duct.
机译:在管道中传播的声压场的模态分解方法有很多种。在大多数情况下,模式被认为是不相关的。在本文中,考虑到模式是否相关,我们介绍了一种用于方位角和径向模态检测的反卷积方法。该方法基于迭代最小化,最小化了齐平安装的麦克风测量值和分析模型之间的差异。在第一部分中,介绍了反卷积方法以及基本假设。在第二部分中,介绍了内部测试台,并研究了识别精度的数值评估。在第三部分中,我们的方法适用于通过试验台获得的实验测量结果。数值和实验评估给出了有希望的结果,但必须继续进行。相关模式假设提供了更好的结果,因为可能会在管道末端发生反射。

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