Aircraft system noise prediction for advanced, unconventional concepts has undergone significant improvement over the past two decades. Prediction model uncertainty quantification is necessary to reliably assess the potential benefits of unconventional configurations, which can be outside the range of empirical models. This paper builds on previous work to improve estimates of element prediction uncertainties where the model has improved, or new validation data are available. These element-level uncertainties are propagated via a Monte Carlo method to the system level for predictions at each of the three certification points. Although the quantitative uncertainty values contained here are specific to the hybrid wing–body configuration presented, the underlying process is the same regardless of configuration. Comparisons with previous work show a reduction of 1.1 EPNdB in the 95% coverage interval of the cumulative noise level. The largest impediment for continued uncertainty reduction is the need for validation experiments and improved modeling of fan source noise, propulsion airframe aeroacoustic effects, and the Krueger flap source noise, which comprise the bulk of the uncertainty in the cumulative certification noise level.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    System Noise Prediction Uncertainty Quantification for a Hybrid Wing–Body Transport Concept


    Contributors:

    Published in:

    AIAA Journal ; 58 , 3 ; 1157-1170


    Publication date :

    2019-12-27


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English