The numerical simulations of a full three‐dimensional (3D) landing gear (LG) model are computationally expensive. These simulations are not suitable for quick estimate during the design stage. In this research, a physics‐based approach of multiple two‐dimensional (2D) simulations is proposed and validated with the available 3D numerical and experimental data. This novel approach is more effective and efficient in compromising between the computational cost and accuracy of the far‐field noise calculation of such complex structure as the LG. The prediction of 3D LG noise relies on the results of multiple 2D near‐field flow simulations. The 3D LG model is divided into different 2D cross‐sections located at various locations along the longitudinal axis. Using Ffowcs Williams and Hawkings acoustic analogy, far‐field noise is calculated. For the compensation of missing near‐field data along the span, a source correlation length is considered. The proposed method is applied to a two‐wheel nose landing gear to validate the model. Overall, the results are within a reasonable accuracy compared with the experimental and 3D numerical data using low computational cost. Therefore, the proposed method has the potential to be used as an effective framework for assessing different LG designs.


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    Titel :

    An Efficient Far‐Field Noise Prediction Framework for the Next Generation of Aircraft Landing Gear Designs


    Beteiligte:
    Behdinan, Kamran (Herausgeber:in) / Moradi‐Dastjerdi, Rasool (Herausgeber:in) / Alqash, Sultan (Autor:in) / Behdinan, Kamran (Autor:in)


    Erscheinungsdatum :

    2021-05-24


    Format / Umfang :

    35 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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