Auralization of aircraft flyover noise provides an auditory experience that complements integrated metrics obtained from system noise predictions. Recent efforts have focused on auralization methods development, specifically the process by which source noise information obtained from semi-empirical models, computational aeroacoustic analyses, and wind tunnel and flight test data, are used for simulated flyover noise at a receiver on the ground. The primary focus of this work, however, is to develop full vehicle auralizations in order to explore the distinguishing features of NASA's N+2 aircraft vis-à-vis current fleet reference vehicles for single-aisle and large twin-aisle classes. Some features can be seen in metric time histories associated with aircraft noise certification, e.g., tone-corrected perceived noise level used in the calculation of effective perceived noise level. Other features can be observed in sound quality metrics, e.g., loudness, sharpness, roughness, fluctuation strength and tone-to-noise ratio. A psychoacoustic annoyance model is employed to establish the relationship between sound quality metrics and noise certification metrics. Finally, the auralizations will serve as the basis for a separate psychoacoustic study aimed at assessing how well aircraft noise certification metrics predict human annoyance for these advanced vehicle concepts.


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    Titel :

    Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions


    Beteiligte:

    Kongress:

    AIAA/CEAS Aeroacoustics Conference ; 2016 ; Lyon, France


    Erscheinungsdatum :

    2016-05-30


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions

    Rizzi, Stephen A. / Burley, Casey L. / Thomas, Russell H. | AIAA | 2016


    Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions

    S. A. Rizzi / C. L. Burley / R. H. Thomas | NTIS | 2016


    Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions (AIAA 2016-2906)

    Rizzi, Stephen A. / Burley, Casey L. / Thomas, Russell H. | British Library Conference Proceedings | 2016


    Auralization of Hybrid Wing Body Aircraft Flyover Noise from System Noise Predictions

    Rizzi, Stephen A. / Aumann, Aric R. / Lopes, Leonvard V. et al. | NTRS | 2013


    Auralization of Hybrid Wing Body Aircraft Flyover Noise from System Noise Predictions

    Rizzi, Stephen / Aumann, Aric / Lopes, Leonard et al. | AIAA | 2013