A data-driven approach for modeling large-amplitude flow-induced oscillations of elastically mounted pitching wings

IF 3.4 2区工程技术 Q1 ENGINEERING, MECHANICAL

Journal of Fluids and Structures Pub Date : 2025-02-20 DOI:10.1016/j.jfluidstructs.2025.104282

Yuanhang Zhu , Kenneth Breuer

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Abstract

We propose and validate a data-driven approach for modeling large-amplitude flow-induced oscillations of elastically mounted pitching wings. We first train a neural networks regression model for the nonlinear aerodynamic moment using data obtained from experimental measurements during prescribed pitching oscillations and at fixed angles of attack. We then embed this model into an ordinary differential equation solver to solve the governing equation of the passive aeroelastic system with desired structural parameters. The system dynamics predicted by the proposed data-driven approach are characterized and compared with those obtained from physical experiments. The predicted and experimental pitching amplitude, frequency and aerodynamic moment responses are found to be in excellent agreement. Both the inertia-dominated mode and the hydrodynamic-dominated mode are successfully predicted. The transient growth and saturation of the pitching oscillation amplitude and the aerodynamic moment are also faithfully captured by the proposed approach. Additional test cases demonstrate the broad applicability and good scalability potential of this approach.

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弹性俯仰机翼大振幅流致振荡建模的数据驱动方法

我们提出并验证了一种数据驱动的方法来模拟弹性安装的俯仰翼的大振幅流诱导振荡。我们首先使用在规定的俯仰振荡和固定攻角下获得的实验测量数据训练非线性气动力矩的神经网络回归模型。然后将该模型嵌入到常微分方程求解器中，求解具有期望结构参数的被动气动弹性系统的控制方程。用数据驱动方法预测了系统动力学特性，并与物理实验结果进行了比较。预测的俯仰振幅、频率和气动力矩响应与实验结果非常吻合。成功地预测了惯性主导模式和水动力主导模式。该方法还能忠实地捕捉俯仰振荡幅值和气动力矩的瞬态增长和饱和。其他测试用例证明了该方法的广泛适用性和良好的可伸缩性潜力。

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来源期刊

Journal of Fluids and Structures 工程技术-工程：机械

CiteScore

6.90

自引率

8.30%

发文量

173

审稿时长

65 days

期刊介绍： The Journal of Fluids and Structures serves as a focal point and a forum for the exchange of ideas, for the many kinds of specialists and practitioners concerned with fluid–structure interactions and the dynamics of systems related thereto, in any field. One of its aims is to foster the cross–fertilization of ideas, methods and techniques in the various disciplines involved. The journal publishes papers that present original and significant contributions on all aspects of the mechanical interactions between fluids and solids, regardless of scale.