Accueil
Explorer
nav.journalClub
Tendances
Plus
Synapse
⌘+K
Synapse
Langue
Français
Français
March 3, 2026
View Full Paper
Predicting the hydroacoustic signature of ducted tidal turbines: A computationally efficient BEM/FW-H approach
TW
Thomas S. Wu
The University of Texas at Austin
SK
Spyros A. Kinnas
SK
Seungnam Kim
Hongik University
See all
Key Points
Hydroacoustic signature is accurately predicted, enhancing understanding of underwater noise impact.
Key evidence indicates the BEM/FW-H approach achieved high computational efficiency with minimal errors.
This study involves a computational method to analyze tidal turbine acoustics and fluid dynamics.
The findings highlight potential improvements in turbine design, minimizing acoustic pollution while maximizing energy output.
Demander à l'IA
Mark Helpful
Like
Save
Bookmark
Relay
Share
View Full Paper
Demander à l'IA
Mark Helpful
Like
Save
Bookmark
Relay
Share
View Full Paper
Cite This Study
Copy
Wu et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75a97c6e9836116a209d2
https://doi.org/https://doi.org/10.1016/j.oceaneng.2026.124362
Predicting the hydroacoustic signature of ducted tidal turbines: A computationally efficient BEM/FW-H approach | Synapse