Abstract
Acoustic modeling of high-performance military aircraft is used to determine noise impacts and plan training operations. However, modeling accuracy to date has been limited because of nonlinear noise propagation, resulting in shock formation and greater high-frequency spectral levels. While prior work has investigated nonlinearity in noise propagation from static aircraft, this paper investigates the use of a nonlinear propagation algorithm based on the generalized Burgers equation to model noise propagation from F-35 flyovers. Waveforms recorded below the aircraft during a low-altitude flyover are used as the algorithm input and are propagated hundreds of meters. The sound pressure levels and spectra from the resulting waveforms are then compared with measured levels at the same distances. Using nonlinear modeling to predict the sound pressure levels significantly increases broadband spectral accuracy.
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