The multidisciplinary design of aircraft typically includes considerations of performance, weight, fuel burn, and noise, among other factors. Objective functions and constraints reflect these considerations to weigh the tradeoff between different designs. Higher-fidelity optimization exercises have used an adjoint approach to reach an optimal set of aerodynamic objective functions, such as increased lift and reduced drag. The adjoint approach significantly reduces the computational time required to find an optimal configuration when there are many design parameters and few objective functions and constraints. Including acoustics in an adjoint-based design optimization requires the sensitivity of acoustic objective functions with respect to design parameters. This paper presents an approach for defining the sensitivity of several acoustic objective functions, including time-integrated metrics, such as effective perceived noise level, and frequency-integrated metrics, such as overall sound-pressure level. A demonstration, validation, and details on the sensitivity analysis implementation in the second-generation Aircraft Noise Prediction Program are also shown.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robust Acoustic Objective Functions and Sensitivities in Adjoint-Based Design Optimizations


    Contributors:

    Published in:

    AIAA Journal ; 57 , 8 ; 3185-3199


    Publication date :

    2019-08-01




    Type of media :

    Conference paper , Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Robust Acoustic Objective Functions and Sensitivities in Adjoint-Based Design Optimizations

    Lopes, Leonard V. / Iyer, Venkat R. / Born, Janelle | AIAA | 2017


    Robust Acoustic Objective Functions and Sensitivities in Adjoint-Based Design Optimizations (AIAA 2017-1673)

    Lopes, Leonard V. / Iyer, Venkat R. / Born, Janelle | British Library Conference Proceedings | 2017


    Adjoint Calculation of Sensitivities of Turbomachinery Objective Functions

    M. Sergio Campobasso / Mihai C. Duta / Michael B. Giles | AIAA | 2003



    Objective Function and ADjoint Sensitivities for Moving-Mask Lithography

    van Keulen, F. / Hirai, Y. / Tabata, O. et al. | British Library Conference Proceedings | 2008