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Robust 3D acoustic performance probabilistic model for nacelle liners

Abstract : This paper is devoted to the robust optimization of nacelle liners (acoustic treatments). The full computational aeroacoustic model is based on the convected Helmholtz equation in presence of a non-homogeneous flow velocity field, which is computed by solving the potential Euler equations. Uncertainties are taken into account in order to increase the robustness of the predictions. A reduced-order computational aeroacoustic model is constructed in order to implement the nonparametric probabilistic model of uncertainties induced by the modeling errors in the aeroacoustic model and in the liner model. In addition, the uncertainties on the acoustic excitation induced by the fan are taken into account using the parametric probabilistic approach. The developed methodology is applied to a 3D nacelle intake and allows for computing the confidence regions of the random far-field radiated pressure in terms of random SPL (Sound Pressure Level), which are compared to experiments for one flight condition, one frequency, and for two types of liners.
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Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Friday, May 21, 2021 - 8:56:28 PM
Last modification on : Sunday, June 26, 2022 - 3:08:40 AM
Long-term archiving on: : Sunday, August 22, 2021 - 7:07:19 PM


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Vincent Dangla, Christian Soize, Guilherme Cunha, A. Mosson, M. Kassem, et al.. Robust 3D acoustic performance probabilistic model for nacelle liners. AIAA Journal, 2021, 50 (10), pp.4195-4211. ⟨10.2514/1.J060299⟩. ⟨hal-03179828⟩



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