A systematic study on the influence of scale, hull roughness, and draft on form factor estimation
Journal article, 2026

In recent years, considerable attention has been given to the prediction of form factor of ships and the associated scale effects, as the accuracy of such estimations has come under scrutiny. This paper explores the discrepancies between model-scale and full-scale form factor predictions derived from CFD simulations using a newly developed approach known as the 2-k method. This method enhances the precision of form factor evaluation, particularly when applied at full scale, showing notable improvements for hulls with wetted transoms. This study tests the hypothesis of 2-k and transom correction methods with different numerical tools and methods. It reveals a strong dependence of the form factor on grid resolution across different scales, while aligning well with findings reported in the literature. Additionally, a sensitivity analysis based on uniformly distributed surface roughness is performed. The 2-k method is also applied to systematically varied transom submergence conditions, demonstrating consistent form factor trends across both model and full scales. Furthermore, when evaluating draft variations, the method yields results that more closely match experimental data. These findings suggest that the 2-k method is a reliable tool for estimating the form factor in scenarios involving complex turbulent flow, such as in the wake of the transom.

Scale effects

Form factor

Computational fluid dynamics

Roughness analysis

2-k method

Benchmark hulls

Author

Minas Argyros

FORCE Technology

Simone Mancini

FORCE Technology

University of Naples Federico II

Kadir Burak Korkmaz

RISE Research Institutes of Sweden

Arash Eslamdoost

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

International Journal of Naval Architecture and Ocean Engineering

2092-6782 (ISSN) 2092-6790 (eISSN)

Vol. 18 100739

Subject Categories (SSIF 2025)

Fluid Mechanics

Marine Engineering

Applied Mechanics

DOI

10.1016/j.ijnaoe.2025.100739

More information

Latest update

2/6/2026 8