3-D large eddy simulation for jet aeroacoustics

Ali Uzun, Purdue University

Abstract

Future design of aircraft engines with low jet noise emissions undoubtedly needs a better understanding of noise generation in turbulent jets. Such an understanding, on the other hand, demands very reliable prediction tools. This study is therefore focused on developing a Computational Aeroacoustics (CAA) methodology that couples the near field unsteady flow field data computed by a 3-D Large Eddy Simulation (LES) code with various integral acoustic formulations for the far field noise prediction of turbulent jets. Turbulent jet simulations were performed at various Reynolds numbers. Comparisons of jet mean flow, turbulence statistics as well as jet aeroacoustics results with experimental data of jets at similar flow conditions were done and reasonable agreement was observed. The actual jet nozzle geometry was not included in the present simulations in order to keep the computational cost at manageable levels, therefore the jet shear layers downstream of the nozzle exit were modelled in an ad hoc fashion. As also observed by other researchers, the results obtained in the simulations were seen to be somewhat sensitive to the way the inflow forcing was done. The study of the effects of the eddy-viscosity based Smagorinsky subgrid-scale (SGS) model on noise predictions shows that the Smagorinsky model suppresses the resolved scale high-frequency noise. Simulations with filtering only suggest that treating the spatial filter as an implicit SGS model might be a good alternative. To our best knowledge, Lighthill's acoustic analogy was applied to a reasonably high Reynolds number jet for the first time in this study. A database greater than 1 Terabytes (TB) in size was post-processed using 1160 processors in parallel on a modern supercomputing platform for this purpose. It is expected that the current CAA methodology will yield better jet noise predictions when improved SGS models for both turbulence and high-frequency noise are incorporated into the LES code and when the computing technology reaches a level where including the jet nozzle geometry in the simulations will not be so computationally prohibitive. ^

Degree

Ph.D.

Advisors

Major Professors: Anastasios Sotirios Lyrintzis, Purdue University, Gregory A. Blaisdell, Purdue University.

Subject Area

Engineering, Aerospace|Engineering, Mechanical|Engineering, Environmental

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