Statistical regression method — U. Hollenbach (1998)
The Hollenbach method is a regression-based technique for predicting calm-water resistance of single-screw displacement ships. It was developed from a larger and more recent dataset than Holtrop–Mennen, covering conventional cargo ships between 42 m and 205 m. Unlike Holtrop, Hollenbach outputs both a mean (fleet-average) and a minimum (optimised hull) resistance estimate.
$S_d$ is the predicted wetted hull area; each coefficient captures a distinct physical contribution.
Residuary Resistance ($C_R$)
Computed via a polynomial regression in Froude number and $C_B$, with multiplicative correction factors for geometry ($k_L$, $k_{BT}$, $k_{LB}$, …) and a high-speed amplification factor $k_{Fr}$ that activates near the critical Froude number.
Computed from the flat-plate friction line with an area-weighted $(1+k_2)$ form factor — the same physical model used in Holtrop & Mennen — so appendage types and their $k_2$ values are directly interchangeable between the two solvers.
Represents a typical hull from the regression dataset. Includes high-speed amplification and all geometric correction factors at fleet-average values.
MinimumRt — Optimised Hull
Lower bound for a well-faired hull. Geometric correction factors are frozen at ideal values ($k_{Fr}=k_L=1$); useful for design-space optimisation.
AppendagesRapp
Rudders, bilge keels, shafts, bossings and fins — individual $1+k_2$ form factors identical to the Holtrop solver, so results can be directly compared.
Interactive Tutorial
Simulation Guide
1
Hull Geometry
Set LPP, LWL, LOS, beam, draft and displacement volume. Block coefficient is derived automatically. A warning banner appears if principal ratios fall outside the Hollenbach regression limits.
2
Appendages
Enable appendage checkboxes exactly as in the Holtrop solver. Default wetted areas are pre-filled; the area-weighted $k_2$ is shown in the telemetry strip.
3
Analyse Results
Switch to Analytical Plots to see the mean / min / component curves, or open Data Table and export the full resistance matrix as CSV.