Real-time wetted-surface modeling method for floating offshore wind turbines: Validation and application to compartment flooding conditions

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Validation of a nonlinear hydrodynamic model shows improved predictability in FOWTs amidst flooding, indicating potential design advancements.

Nonlinear modeling predicts 21.8% increase in natural frequencies of floating offshore wind turbines.
The F2W framework successfully validates against FAST, enhancing the accuracy of wetted-surface variations.
Dynamic waterplane changes during compartment flooding impact the stability performance of floating offshore wind turbines.
Spar-type floating offshore wind turbines show heightened susceptibility to sinking due to limited waterplane area.

Chen et al. (2025) studied this question.

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Validation of a nonlinear hydrodynamic model shows improved predictability in FOWTs amidst flooding, indicating potential design advancements.