Abstract
We present a machine learning model for calculation of wave added resistance. The model training is performed using a large set of pre-calculated added resistance curves covering a broad range of ship hulls and operational conditions, i.e. forward speed, draft and relative wave heading. The underlying hydrodynamic model is the classical strip-theory where the wave added resistance is computed according to a modified version of Salvesen’s formulation. It is concluded that the developed data-driven model is able to produce a non-linear mapping between a set of operational conditions as well as the ship’s main particulars to the wave added resistance coefficient.
Original language | English |
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Title of host publication | Proceedings of 40th International Workshop on Water Waves and Floating Bodies |
Number of pages | 4 |
Publisher | IWWWFB |
Publication date | 2025 |
Publication status | Published - 2025 |
Event | 40th International Workshop on Water Waves and Floating Bodies - Shanghai, China Duration: 11 May 2025 → 14 May 2025 |
Conference
Conference | 40th International Workshop on Water Waves and Floating Bodies |
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Country/Territory | China |
City | Shanghai |
Period | 11/05/2025 → 14/05/2025 |