作者: Matthew Tyndall Kube-McDowell
DOI:
关键词: Acoustics 、 Engineering 、 Acoustic signature 、 Computational aeroacoustics 、 Noise 、 Jet (fluid) 、 Jet noise 、 Observer (quantum physics) 、 Freestream 、 Correlation function (statistical mechanics)
摘要: The prediction of hot jet noise is a significant problem interest for reducing the takeoff aircraft, with computational aeroacoustics engineering purposes being field active development. One aeroacoustic code, JeNo, assumes that produced by acoustic sources jets propagate constant cross-correlation, accounted fixed set model constants. Acoustic analogy predictions based on large-eddy simulations, however, indicate source correlation varies speed and observer angle. This paper proposes modular approach to improve JeNo’s extending include variation in cross-source statistical respect Mach number A proof-of-concept empirical function calibrated from comparisons experimental measurements Tanna, effect this tested using separate as measured Bridges. shown provide quantitative improvement at low angles no freestream flow, qualitative presence flow. However, results also demonstrate there are underlying flaws ability predict behavior jet’s signature certain angles, not able correct these flaws.