The invention discloses a data-driven supercritical airfoil pressure distribution prediction method and system and a medium. The method comprises the following steps: acquiring airfoil data; extracting a plurality of airfoil profile coordinates from the airfoil profile data, and processing the plurality of airfoil profile coordinates to obtain a plurality of airfoil profile control point coordinates; extracting a plurality of pressure distribution curves from the airfoil profile data, and processing the plurality of pressure distribution curves to obtain a plurality of pressure distribution principal component amplitudes; based on the neural network technology, an airfoil profile pressure distribution predictor is constructed according to the multiple airfoil profile control point coordinates and the multiple pressure distribution principal component amplitudes; and inputting the obtained coordinates of the control points of the airfoil profile to be predicted into an airfoil profile pressure distribution predictor for prediction so as to obtain a pressure distribution curve. The airfoil profile pressure distribution predictor disclosed by the embodiment of the invention is constructed based on the neural network model, can realize high-precision prediction on the pressure distribution of the supercritical airfoil profile in practice, and solves the problem that the traditional airfoil profile pressure distribution calculation is time-consuming and labor-consuming.

    本发明公开了一种数据驱动的超临界翼型压力分布预测方法、系统及介质,方法包括获取翼型数据;从翼型数据中提取多个翼型坐标,并对多个翼型坐标进行处理,以得到多个翼型控制点坐标;从翼型数据中提取多个压力分布曲线,并对多个压力分布曲线进行处理,以得到多个压力分布主成分振幅;基于神经网络技术,根据多个翼型控制点坐标、多个压力分布主成分振幅构建翼型压力分布预测器;将获取到的待预测翼型控制点坐标输入至翼型压力分布预测器进行预测,以得到压力分布曲线。本发明实施例的翼型压力分布预测器基于神经网络模型构建,在实际中可实现对超临界翼型的压力分布进行高精度预测,解决了传统翼型压力分布计算耗时耗力的问题。


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    Title :

    Data-driven supercritical airfoil pressure distribution prediction method and system and medium


    Additional title:

    数据驱动的超临界翼型压力分布预测方法、系统及介质


    Contributors:
    CHENG RAN (author) / WANG WEITUO (author) / SUN KEBIN (author)

    Publication date :

    2023-05-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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