This solver requires only three primary hull dimensions — Length on Waterline ($L$), Beam ($B$), and Draft ($T$). Trained regression models infer the remaining hull-form parameters (displacement, prismatic coefficient, and LCB), which then drive the resistance prediction. Total bare-hull resistance ($R_t$) separates viscous fluid friction from wave-making residual forces:
Total Bare-Hull Resistance
$$R_t = R_f + R_r$$
Where Rf is viscous skin friction and Rr is the ML-predicted wave residuary force.
Viscous Skin Friction ($R_f$)
Frictional scaling is derived from the ITTC correlation line, mapping the predicted wetted surface area ($S$) against the turbulent Reynolds Number ($Re$):
Provide only Length on Waterline (L), Beam (B), and Draft (T). The hull geometry updates live inside the WebGL canvas as you adjust the three primary dimensions.
2
AI Parameter Prediction
On each change, the trained models infer displacement, prismatic coefficient, and LCB. These predicted hull-form values appear live in the telemetry deck and refine the 3D hull shape.
3
Resistance Curve Analysis
Switch to the Analytical Plots view to inspect the Rf / Rr / Rt resistance matrix across the full Froude range, filter individual components, or export the curve as a CSV file.