2023
DOI: 10.2514/1.j062991
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Aeroacoustic Liner Impedance Metamodel from Simulation and Experimental Data Using Probabilistic Learning

Amritesh Sinha,
Christian Soize,
Christophe Desceliers
et al.

Abstract: To be able to calculate a parameterized aeroacoustic liner impedance, a robust statistical metamodel is constructed as a function of the frequency and of the control parameters that are the percentage of open area and the sound pressure level. This construction is based on the use of simulated data generated with a computationally expensive aeroacoustic model, which translates to a very small training dataset. This means that the learning process has to be used and the probabilistic learning on manifolds algor… Show more

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Cited by 3 publications
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