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Enhancing the reconstruction of in-duct sound sources using a spectral decomposition method

机译:使用频谱分解法增强感应声源的重建

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The characterization of in-duct acoustic source parameters for their use at the design stage, in virtual prototyping of the noise induced by fans and obstacles, is of great engineering importance. Conventional inverse approaches, such as the equivalent source method, offer accurate reconstruction results, but they require a large number of virtual sources or a suitable location of a few number of them. This paper proposes an alternative method that provides a cross-sectional imaging of the amplitude distribution of ducted sources, which does not depend on a prior adequate placement of equivalent sources, or on the degree of correlation between the real ones. The method is based on a full spectral formulation of the inverse problem, from which a theoretical stopping criterion is derived that provides a stable reconstruction of the unknown source distribution. Accurate and well-resolved imaging results of the axial acoustic velocity generated by wall-mounted drivers are obtained from either in-duct or wall-pressure measurements, acquired respectively without or with flow. The accuracy and the resolution of the retrieved source strength are significantly enhanced from an iterative modal decomposition of the pressure field, when imaging from data acquired respectively at large or small standoff distances to the source plane.
机译:在设计阶段,对由风扇和障碍物引起的噪声进行虚拟原型制作时,表征导管声源参数的特性具有重要的工程意义。常规的反向方法(例如等效源方法)可提供准确的重建结果,但它们需要大量的虚拟源或其中几个虚拟源的合适位置。本文提出了一种替代方法,该方法可以提供管道源振幅分布的横截面成像,而这不取决于事先对等效源的适当放置或实际源之间的相关程度。该方法基于反问题的全谱表述,从中得出理论上的停止标准,该标准提供了未知源分布的稳定重建。壁挂式驱动器产生的轴向声速的准确且分辨率良好的成像结果可通过管道内或管道内的压力测量获得,分别在无流量或有流量的情况下获取。当从分别在距源平面较大或较小距离处获取的数据进行成像时,通过对压力场进行迭代模态分解,可以显着提高所获取源强度的精度和分辨率。

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