Predicting the effect of biofouling on ship resistance using CFD

Dataset

Description

This study proposes a Computational Fluid Dynamics (CFD) based unsteady RANS model which enables the prediction of the effect of marine coatings and biofouling on ship resistance and presents CFD simulations of the roughness effects on the resistance and effective power of the full-scale 3D KRISO Container Ship (KCS) hull.
Initially, a roughness function model representing a typical coating and different fouling conditions was developed by using the roughness functions given in the literature. This model then was employed in the wall-function of the CFD software and the effects of a typical as applied coating and different fouling conditions on the frictional resistance of flat plates representing the KCS were predicted for a design speed of 24 knots and a slow steaming speed of 19 knots using the proposed CFD model. The roughness effects of such conditions on the resistance components and effective power of the full-scale 3D KCS model were then predicted at the same speeds. The resulting frictional resistance values of the present study were then compared with each other and with results obtained using the similarity law analysis. The increase in the effective power of the full-scale KCS hull was predicted to be 18.1% for a deteriorated coating or light slime whereas that due to heavy slime was predicted to be 38% at a ship speed of 24 knots. In addition, it was observed that the wave resistance and wave systems are significantly affected by the hull roughness and hence viscosity.

This dataset involves the time history of ship drag (resistance) values for varying surface conditions computed by the CFD-based commercial software package.
Date made available8 Dec 2016
PublisherUniversity of Strathclyde
Date of data production2 Jun 2014 - 20 Aug 2016

Cite this

Demirel, Y. K. (Creator), Turan, O. (Contributor), Incecik, A. (Contributor). (8 Dec 2016). Predicting the effect of biofouling on ship resistance using CFD. University of Strathclyde. Drag_24_knots(.zip), Drag_19_knots(.zip). 10.15129/adeb0db8-fec9-46ce-bbe3-9b828d0b9d35