Sensitivity Analysis of Monopiles’ Fatigue Stresses to Site Conditions Using Monte Carlo Simulation

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Glisic, A.; Ferraz, G.T.; Schaumann, P.: Sensitivity Analysis of Monopiles’ Fatigue Stresses to Site Conditions Using Monte Carlo Simulation. In: Proceedings of the Twenty-seventh (2017) International Ocean and Polar Engineering Conference, San Francisco, CA, USA, June 25-30, 2017, S. 305-311. http://www.isope.org

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1905

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Sum total of downloads: 291




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Abstract: 
The design of support structures of offshore wind turbines contains high number of design variables that influence load characteristics and structural responses. These variables are stochastic and cause many uncertainties. Some of them are examined in this study. It is investigated how scattering of site conditions and load parameters affect the structural response. It is exemplified in terms of stresses that contribute to the accumulated fatigue damage within a monopile substructure. Random sampling of combinations of site conditions and load parameters is performed in order to classify the effects of parameter scattering on the stress variability by means of Sobol’ indices. Analysis shows that the highest influence on stress outputs have the variations in the load parameters. The reason is the sensitivity of the structural dynamical response to the wave height increase and decrease of distance between the wave peak frequency and the structural eigenfrequencies. © 2017 ISOPE
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: ConferenceObject
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 156 53.61%
2 image of flag of United States United States 34 11.68%
3 image of flag of China China 18 6.19%
4 image of flag of Serbia Serbia 10 3.44%
5 image of flag of France France 9 3.09%
6 image of flag of Switzerland Switzerland 8 2.75%
7 image of flag of Belgium Belgium 8 2.75%
8 image of flag of United Kingdom United Kingdom 7 2.41%
9 image of flag of Brazil Brazil 5 1.72%
10 image of flag of Peru Peru 4 1.37%
    other countries 32 11.00%

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