NAVAL SURFACE VESSELs

TRIAL & OPERATIONAL HYDRODYNAMIC services

MARIN, as an independent research institute, can provide answers in any phase of your naval vessel design or operation regarding all hydrodynamic related issues. Our hydrodynamic experience can be used to solve problems of identified risks related to hydrodynamic aspects during designing, delivery, trials, taking into service and operating your naval vessel

NAVAL SURFACE VESSEL TRIAL AND OPERATIONAL HYDRODYNAMIC SERVICES

Our services are offered tailor made according to your specific naval vessel. MARIN has a considerable track record in evaluating performance and behaviour of naval vessels.

Possible services include providing an independent assessment with state of the art tools to derive the speed at contract and EEDI condition compliant with IMO. For manoeuvring aspects MARIN can provide an independent assessment based on prediction tools and trials to check compliance with contract or with IMO.

To assess vibration and noise issues, noise and vibration measurements and analysis can be performed in accordance with ISO. Cavitation observation with dedicated boroscopic cameras through a minimum hull puncture can be done. Analysis and results are given with practical advice for improvement on hull, appendages or propeller.

To address structural fatigue and life time issues MARIN can provide unique measurement techniques for fatigue surveillance. In order to determine the structural lifetime during the operational stage, an unique on board advisory hull monitoring and system (AHMS) can be installed on the ship. Such system can help to determine the reasons for potential deviations of the actual fatigue consumption from design predictions and translates the monitoring data into operational guidance and advice in an easily understandable format.

Contact

Contact person photo

Pepijn de Jong

Manager Defence

Publications
Paper
Predicting the dynamics of a gas pocket during breaking wave impacts using machine learning

30 Mar 2025

We investigate the feasibility and accuracy of a machine learning model to predict the dynamics of a gas pocket that is formed when a breaking wave ...
Paper
Estimation of Discretization Errors in Viscous Flow Simulations Based on the RANS Equations: Wall-Resolved Versus Wall-Functions

6 Feb 2025

In the present paper, we focus on the simulation of viscous flows at high Reynolds numbers using the Reynolds averaged Navier–Stokes (RANS) ...
Paper
Ship course-keeping in waves using sample-efficient reinforcement learning

1 Feb 2025

Maintaining a steady course in waves is important for ships for various reasons such as safety, fuel efficiency, and comfort. This has commonly been ...