A novel method for predicting fluid–structure interaction with large deformation based on masked deep neural network

Traditional fluid–structure interaction (FSI) simulation is computationally demanding, especially for bi-directional FSI problems. To address this, a masked deep neural network (MDNN) is developed to quickly and accurately predict the unsteady flow field. By integrating the MDNN with a structural dy...

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Veröffentlicht in:	Physics of fluids (1994) 2024-02, Vol.36 (2)
Hauptverfasser:	Liu, Yangwei, Zhao, Shihang, Wang, Feitong, Tang, Yumeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computing time Deformation Fluid-structure interaction Unsteady flow Vertical oscillations
Online-Zugang:	Volltext
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