Future air transportation demand forecasts suggest that environmental concerns such as noise will be exacerbated beyond their current level. Although detailed airport noise modeling with tools such as the integrated noise model and the Federal Aviation Administration’s Aviation Environmental Design Tool are available, these software require relatively long setup and run times due to the number of inputs available to the user and the general fidelity level of the models. A rapid, flexible, and more simplified method that reduces the input variables to a critical few and can provide results in minutes is desired to evaluate fleet-level metrics with respect to new technologies or forecasted changes in demand. Current lower-fidelity methods only calculate a change in contour area due to changes within the overall fleet composition. These methods cannot account for the shape of the contour. This paper presents a rapid airport noise computation model that leverages the fidelity of detailed models. By performing generic aircraft operations upfront, events can be rapidly recombined later to perform trades of various noise mitigating strategies. By moving the detailed noise modeling “offline” through simplifying assumptions, the fidelity of detailed models can be channeled upstream in the decision-making process. The increased speed of the model enables multiple fleet-level analyses. Verification and validation results show agreement benchmarked against integrated noise model equivalents when model assumptions are obeyed. Comparison to detailed integrated noise model equivalents when model assumptions are violated introduces certain errors, but the model retains contour area accuracy, through the basic capture of contour shape.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Development of a Rapid Fleet-Level Noise Computation Model


    Beteiligte:

    Erschienen in:

    Journal of Aircraft ; 52 , 3 ; 721-733


    Erscheinungsdatum :

    01.05.2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Development of a Rapid Fleet-Level Noise Computation Model

    Bernardo, José E | Online Contents | 2015


    Quantification of Error for Rapid Fleet-Level Noise Computation Model Assumptions

    LeVine, Matthew J. / Lim, Dongwook / Li, Yongchang et al. | AIAA | 2018


    Quantification of Error for Rapid Fleet-Level Noise Computation Model Assumptions

    LeVine, Matthew J. / Lim, Dongwook / Li, Yongchang et al. | AIAA | 2019


    Quantification of Error for Rapid Fleet-Level Noise Computation Model Assumptions (AIAA 2018-3993)

    LeVine, Matthew J. / Lim, Dongwook / Li, Yongchang et al. | British Library Conference Proceedings | 2018


    Development of generic airport categories for rapid fleet-level noise modeling

    Bernardo, José E. / Kirby, Michelle / Mavris, Dimitri | IOS Press | 2015