Reduced Order Data-Driven Analysis of Cavitating Flow over Hydrofoil with Machine Learning

Predicting the flow situation of cavitation owing to its high-dimensional nonlinearity has posed great challenges. To address these challenges, this study presents a novel reduced order modeling (ROM) method to accurately analyze and predict cavitation flow fields under different conditions. The pro...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Weilong Guang, Peng Wang, Jinshuai Zhang, Linjuan Yuan, Yue Wang, Guang Feng, Ran Tao
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-01-01
Σειρά:	Journal of Marine Science and Engineering
Θέματα:	cavitation proper orthogonal decomposition neural network hydrofoil machine learning
Διαθέσιμο Online:	https://www.mdpi.com/2077-1312/12/1/148
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