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Yifan Wang, Jinglei Xu, Qihao Qin, Ruiqing Guan and Le Cai
In this study, we propose a novel dynamic mode decomposition (DMD) energy sorting criterion that works in conjunction with the conventional DMD amplitude-frequency sorting criterion on the high-dimensional schlieren dataset of the unsteady flow of a spik...
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Jiawei Fu, Junhui Wang, Jifei Wu, Ke Xu and Shuling Tian
This research investigated the impact of complex low-speed wake flow structures on the aerodynamic characteristics of objects downstream. It employed the proper orthogonal decomposition (POD) method and the domain precursor simulation method to compare t...
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Samira Ardani, Saeed Eftekhar Azam and Daniel G. Linzell
Transfer Learning (TL) in structural health monitoring is used for generalizing the trained knowledge for damage identification of a group of similar structures. TL significantly reduces the computational cost associated with retraining Machine Learning ...
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Changsheng Chen, Guoping Li, Zhenlai Ma, Ziyi Mei, Bo Gao and Ning Zhang
Podded propulsors have become a focal point of research in the field of marine propulsion in recent years due to their high efficiency, low noise, and excellent maneuverability. To investigate the acoustic characteristics induced by the flow field of pod...
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Alina Santa Cruz, Duc Hau Nguyen and Sylvain S. Guillou
Proper orthogonal decomposition (POD) is used to examine the release of highly concentrated water?sediment mixture in water, with or without ambient current. This technique allows us to extract the dominant features in spatio-temporal data sets and the P...
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