Flight load design is one of the core contents of aircraft strength structure design, while the rationality of the flight load level affects flight safety and performance. To satisfy the demand for real-time evaluation and high-precision prediction of aircraft flight load throughout its entire life cycle, a flight load prediction method based on digital twin technology has been established Firstly, utilizing numerical simulation methods, a flight load prediction method was constructed built on a high-fidelity structural finite element model, Subsequently, flight tests were conducted, with the actual load data of aircraft components from three typical time periods selected to compare with the calculated results of the constructed load prediction method. It was found that the designed results were in good agreement with the measured results, which preliminarily verified the effectiveness and accuracy of the established load prediction method. Then, an aircraft aerodynamic load fitting software and a digital twin database of flight load on the basis of sensitive parameters were developed, aiming to achieve rapid calculation and fitting of aerodynamic loads. The constructed aircraft aerodynamic load digital model can evolve in real-time by receiving aerodynamic load data from actual aircraft testing, thus maintaining consistency with the actual aerodynamic load of the aircraft during its entire lifecycle, meeting the requirement of predicting the lifespan and maintenance of an individual aircraft, which also leads to the improvement of the attendance rate and service.


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    Title :

    Research on Real Time Prediction Method of Aircraft Flight Load Based on Digital Twin Technology


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Fu, Song (editor) / Lu, Congling (author) / Zong, Ning (author) / Shi, Xuemei (author)

    Conference:

    Asia-Pacific International Symposium on Aerospace Technology ; 2023 ; Lingshui, China October 16, 2023 - October 18, 2023



    Publication date :

    2024-07-05


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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