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Daniel Juvé

Researcher at École centrale de Lyon

Publications -  107
Citations -  3254

Daniel Juvé is an academic researcher from École centrale de Lyon. The author has contributed to research in topics: Jet (fluid) & Turbulence. The author has an hindex of 27, co-authored 107 publications receiving 3024 citations. Previous affiliations of Daniel Juvé include Ecolab & École Centrale Paris.

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Noise Investigation of a High Subsonic, Moderate Reynolds Number Jet Using a Compressible Large Eddy Simulation

TL;DR: In this article, the authors investigated the noise radiated by a subsonic circular jet with a Mach number of 0.9 and a Reynolds number of 65000 computed by a compressible Large Eddy Simulation (LES) and demonstrated the feasibility of using LES to predict accurately both the flow field and sound radiation on a domain including the acoustic field.
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Computation of Flow Noise Using Source Terms in Linearized Euler's Equations

TL;DR: In this article, an acoustic analogy using linearized Euler's equations (LEE) forced with aerodynamic source terms is investigated to computetheacousticfare eld. And the results obtained by solving LEE are in good agreement with the reference solution.
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Numerical Solution of Acoustic Propagation Problems Using Linearized Euler Equations

Christophe Bailly, +1 more
- 01 Jan 2000 - 
TL;DR: In this article, the authors used the linearized Euler's equations to solve the problem of the propagation of aeroacoustic waves in a sheared mean flow, and the solution was obtained by using a dispersion-relation-preserving scheme in space.
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Direct computation of the noise radiated by a subsonic cavity flow and application of integral methods

TL;DR: In this paper, the authors investigate the acoustic field generated by the flow over a cavity using two different and complementary numerical methods: direct numerical simulation and wave extrapolation from a control surface.
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Intermittency of the noise emission in subsonic cold jets

TL;DR: In this paper, the authors investigated the duration of the noise emission of a jet by measuring the instantaneous cross-correlation between the far field acoustic pressure and the velocity component in the jet towards the microphone.