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

Authors :
Thomas Soulard
Franck Schoefs
Benjamin Decurey
Anne-Laure Barillé
Contrôle de santé fiabilité et calcul des structures (TRUST)
Institut de Recherche en Génie Civil et Mécanique (GeM)
Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
Mer, molécules et santé EA 2160 (MMS)
Le Mans Université (UM)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Université de Nantes (UN)-Université de Nantes (UN)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques
Université de Nantes (UN)-Université de Nantes (UN)
Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA)
École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
ANR-10-IEED-0006,FEM,France Energies Marines(2010)
Source :
Journal of Marine Science and Engineering, Vol 8, Iss 2, p 108 (2020), Journal of Marine Science and Engineering, Journal of Marine Science and Engineering, MDPI, 2020, 8 (2), pp.108. ⟨10.3390/jmse8020108⟩, Volume 8, Issue 2
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

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<br />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.

Details

Language :
English
ISSN :
20771312
Volume :
8
Issue :
2
Database :
OpenAIRE
Journal :
Journal of Marine Science and Engineering
Accession number :
edsair.doi.dedup.....9587284a45bac66599c5991da41b3e8f
Full Text :
https://doi.org/10.3390/jmse8020108⟩