Jet Noise Prediction Using Hybrid RANS/LES with Structured Overset Grids

Speaker: Jeff Housman, Computational Aerosciences Branch, NASA Advanced Supercomputing Division
September 28, 2017

Presentation

Abstract

Hybrid RANS/LES simulations using the structured overset grid approach and low-dissipative finite-difference method within the Launch Ascent and Vehicle Aerodynamics (LAVA) solver framework are presented for jet noise prediction. The simulations are part of a validation effort to demonstrate jet noise prediction capability, to assess noise characteristics of next generation quiet supersonic commercial jets. Results are compared with experimental data acquired in the Small Hot Jet Acoustic Rig in the Aeroacoustic Propulsion Laboratory at NASA Glenn Research Center. Details of the structured overset grids, numerical discretization, and turbulence model are presented. Near-field comparisons to PIV data and far-field comparisons to microphone data are discussed. Excellent agreement of time-averaged mean quantities along the jet centerline and lipline are obtained. Good agreement with root-mean-squared (RMS) quantities along the jet centerline are also obtained. An over prediction of lipline RMS at the nozzle exit is observed leading to a small over-prediction of side-line far-field noise (less than 2 dB). Good agreement with far-field noise in the Mach wave radiation directions is achieved.

Biography

Jeffrey Housman received his Bachelor of Science in Mathematics from Sonoma State University in 2000 and his Ph.D. in Applied Mathematics from U.C. Davis in 2007. Housman came to NASA Ames Research Center in 2001 and has been working with Cetin Kiris in the LAVA group in the Computational Aerosciences Branch of the NASA Advanced Supercomputing Division. In LAVA, his work has been focused on developing a high-order high-performance structured overset curvilinear grid solver and far-field aeroacoustic propagation/scattering modules. Housman has worked on a wide range of NASA mission related applications including launch vehicle takeoff and ascent analysis, aeroacoustic analysis of high-lift devices, and noise generation from propulsion systems such as open rotors and jets. He has a received a NASA Individual Achievement Award for his work on the Space Launch System in 2012 and the NASA Early Career Achievement Metal in 2013.

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