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Identification of Aeroacoustics Sources with Data Assimilation

Abstract : While identifying the location of aeroacoustics sources for standard configurations can be regarded nowadays as a well-defined procedure, the identification of the physical nature that characterizes such sources has remained an elusive problem. In this work, we aim to identify the location, the frequency, the mass and momentum components associated to a single or multiple sources of sound under stationary flow conditions. It has been achieved by coupling an aeroacoustics time-reversal technique along with an ensemble-based data-assimilation approach. As a result, a methodology for identifying aeroacoustics sources, free of adjoint operators, has been obtained. The obtained methodology is straightforward as it only relies on direct numerical descriptions of the linearized Euler Equations. Moreover, it is found to be robust: numerical experiments indicate that it allows us to identify the location of aeroacoustic sources within less than the wavelength error and less than 0.5% error in identifying their associated magnitudes of mass and momentum components. The results of this work are promising and pave the way for the future development of imaging techniques in aeroacoustics.
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Submitted on : Monday, May 3, 2021 - 11:29:37 AM
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Manuel Diaz Escobar, Régis Marchiano, Jean-Camille Chassaing. Identification of Aeroacoustics Sources with Data Assimilation. Forum Acusticum, Dec 2020, Lyon, France. pp.1535-1535, ⟨10.48465/fa.2020.0338⟩. ⟨hal-03215254⟩



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