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Open AccessArticle

Model of Bio-Colonisation on Mooring Lines:Updating Strategy Based on a Static Qualifying Sea State for Floating Wind Turbines

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Institut de Recherche en Génie Civil et Mécanique (GeM)—UMR CNRS 6183, Ecole Centrale de Nantes et Université de Nantes, Nantes 44322, France
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Institut Universitaire Mer et Littoral (IUML)—FR CNRS 3473, Université de Nantes, Nantes 44322, France
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BIO-LITTORAL, 2 Rue du Château de l’Eraudière, Immeuble Le Nevada, CS 80693, Nantes CEDEX 3 44306, France
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Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA)—UMR CNRS 6598, Ecole Centrale de Nantes, Nantes 44321, France
*
Author to whom correspondence should be addressed.
Current address: Département de Physique, Université de Nantes—UFR Sciences et Techniques, 2 Chemin de la Houssinière, Nantes 44322, France.
J. Mar. Sci. Eng. 2020, 8(2), 108; https://doi.org/10.3390/jmse8020108
Received: 10 January 2020 / Revised: 29 January 2020 / Accepted: 30 January 2020 / Published: 11 February 2020
(This article belongs to the Special Issue Monitoring of Coastal and Offshore Structures)
Bio-colonisation affects the ageing of materials and the behaviour of offshore structures. Mooring systems and umbilicals belong to the family of slender bodies which are components sensitive to bio-colonisation because of a change of dynamic behaviour due to shape, roughness and mass modifications. However, this stochastic process in time and space is hard to predict. The purpose is then twofold: first, to provide a stochastic spatial model of the bio-colonisation on a mooring line; second, to show that in some defined environmental conditions, such as low wave height, low wind and current velocities, the monitoring of mooring lines tension can help to assess and reduce uncertainty on this model. Therefore, a comprehensive stochastic modelling based on mussels colonisation was carried out using on-site videotapes, experimental campaigns and expert knowledge. We studied the efficiency of a virtual sensing network using this model and a conditional entropy metric. It is first shown that the spatial model fits well with experimental data, and second that a denser medium accuracy sensor network is to be preferred to a single high accuracy fairlead sensor to reduce the uncertainty on the model parameters. It is then worth updating bio-colonisation on mooring lines during the life-time of a floating wind turbine.
Keywords: floating wind turbine; mooring line; bio-colonisation; monitoring; entropy metric floating wind turbine; mooring line; bio-colonisation; monitoring; entropy metric
MDPI and ACS Style

Decurey, B.; Schoefs, F.; Barillé, A.-L.; Soulard, T. Model of Bio-Colonisation on Mooring Lines:Updating Strategy Based on a Static Qualifying Sea State for Floating Wind Turbines. J. Mar. Sci. Eng. 2020, 8, 108.

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