Auralization and Sound Quality Assessment of Landing and Takeoff Noise for Future Aircraft

Abstract

This paper describes a method for predicting aircraft noise, auralization, and sound quality assessment by simulation in order to contribute to the study of future aircraft noise. A noise prediction tool was extended to reconstruct time-series sound data from acoustic spectra, and whether sound quality can be evaluated in the same way as measured sound data was investigated. The time series sound data was compared with the actual measured engine noise data, and it was found that there were no significant differences in perceived noise level (PNL), acoustic roughness, and sharpness. It was also found that there was a significant difference in sharpness between the side of the engine and the rear of the engine, although the PNL was the same level. In addition, the noise of future supersonic aircraft was generated using the prediction tool, and a case study was presented to allow the user to experience the noise and evaluate the sound quality. The results showed that differences in impressions that cannot be explicitly expressed by PNL can be made clear through the selection of psychoacoustic quantities.