Abstract In recent years, machine learning algorithms have experienced rapid advancement, driven by the exponential growth of data availability and computational capabilities. Among these algorithms, artificial neural networks stand out as one of the most renowned and effective classes, possessing the ability to discern relationships within data. In this study, we harness neural networks to deduce the relationship between flight mechanics parameters and resulting loads in an articulated rotor configuration. The accuracy of these algorithms hinges closely on the quality of the dataset used for training. Given that rotor loads manifest as time-periodic signals with precise harmonic content, we train dedicated neural networks to predict each harmonic individually. Subsequently, the load time history is reconstructed post hoc by amalgamating predictions from each individual network. Various network architectures are explored, and a sensitivity analysis is conducted on hyper-parameters to determine the optimal configuration for this specific application. Moreover, these predictions serve as input for a fatigue damage calculation algorithm.


    Access

    Download


    Export, share and cite



    Title :

    Prediction of Helicopter Rotor Loads and Fatigue Damage Evaluation with Neural Networks


    Additional title:

    Aerotec. Missili Spaz.



    Published in:

    Aerotecnica Missili & Spazio ; 104 , 3 ; 223-231


    Publication date :

    2025-06-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Prediction of Helicopter Rotor Loads and Fatigue Damage Evaluation with Neural Networks

    Graziani, Alberto / Prederi, Davide / Trezzini, Alberto Angelo et al. | Springer Verlag | 2025

    Free access


    PREDICTION OF HELICOPTER COMPONENT LOADS USING NEURAL NETWORKS

    HAAS, DAVID / MILANO, JOEL / FLITTER, LANCE | AIAA | 1993


    Prediction of helicopter component loads using neural networks

    Haas, D.J. / Milano, J. / Flitter, L. | Tema Archive | 1993


    Prediction of helicopter component loads using neural networks

    Haas, D.J. / Milano, J. / Flitter, L. | Tema Archive | 1995