On numerical beamforming for acoustic source identification basing on supercomputer simulation data

The paper is devoted to the method of numerical beamforming for processing spatio-temporal data obtained from supercomputer simulation of aeroacoustics problems, in order to localize a distributed acoustic source formed by interaction of turbulent flow and an aircraft or its elements in flight mode, and to determine its amplitude-frequency characteristics. Mathematically, the proposed method is based on solving the inverse problem of restoring the right-hand side in the Helmholtz equation for sources of monopole and dipole types. Compared to an analogue intended for the analysis of experimental measurements, the new method has significant advantages and allows generalization to the case of correlated sources. In the paper, the capabilities of the method are demonstrated by solving the problem of identifying an acoustic source that is generated by an upswept aircraft wing with deployed high-lift devices in landing mode.