PG-EAM - Graduate Program in Aeronautical and Mechanical Engineering
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Article 2024

Resolvent-based estimation of wavepackets in turbulent jets

Authors

Towne, Aaron
Bhagwat, Rutvij
Zhou, Yuhao
Jung, Junoh
Martini, Eduardo
Jordan, Peter
Audiffred, Diego B.S.
Maia, Igor

30th AIAA Ceas Aeroacoustics Conference 2024

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Citations
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Authors

Abstract

© 2024, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.We aim to reduce the noise emitted by high-speed turbulent jets using recently developed resolvent-based estimation and control tools. Our approach relies on detecting noise-generating wavepackets and canceling them via actuation. This paper reports on our progress toward this objective in the form of (i) implementation and validation of these resolvent-based tools in a large-scale CFD solver and (ii) preliminary estimation results for a subsonic jet. We validate our implementation via comparisons to the literature for a laminar channel flow, the acoustic response to a monopole forcing in a freestream, a trailing-line vortex problem, an airfoil wake, and resolvent modes for a jet. The preliminary estimation study for the subsonic jet shows that operator-based and data-driven versions of the methods yield similar estimation kernels and results. Future work will focus on extending this study to a series of supersonic jets and systematically exploring the selection and placement of sensors, actuators, and targets to mitigate noise-generating wavepackets most effectively

Mechanical Engineering (ENGI) Aerospace Engineering (ENGI)
: Scopus
Last Update: 2026-06-25
: 2-s2.0-85202888430