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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Tezdogan, Tahsin
University of Southampton
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2018Study on the utilisation of laminated bamboo (Bambusa Arundinacea) slats as an alternative composite material for building small fishing boat framing structures
- 2018Model test of the DTI-Floating wind concept
- 2016Experimental determination of added hydrodynamic resistance caused by marine biofouling on ships
- 2014An overview of marine corrosion protection with a focus on cathodic protection and coatings
Places of action
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document
Experimental determination of added hydrodynamic resistance caused by marine biofouling on ships
Abstract
An extensive series of towing tests using flat plates covered with artificial barnacles were carried out at the Kelvin Hydrodynamics Laboratory (KHL) at the University of Strathclyde. The tests were designed to examine the effect of the coverage percentage of barnacles on the resistance and effective power of ships, over a range of Reynolds numbers. This paper presents the added resistances due to calcareous fouling in terms of the added frictional resistance coefficient for a surface coverage of fouling of up to 20%, over different speeds (Reynolds numbers). The drag coefficients and roughness function values of each surface were evaluated. Roughness effects of the given fouling conditions on the frictional resistances of an LNG tanker were then predicted for different ship speeds using an in-house code which was developed based on the similarity law analysis of Granville (1958). Added resistance diagrams were then plotted using these predictions. Finally, powering penalties of the LNG tanker were predicted using the generated diagrams.