Details
Original language | English |
---|---|
Pages (from-to) | 1228-1233 |
Number of pages | 6 |
Journal | Procedia Engineering |
Volume | 199 |
Publication status | Published - 12 Sept 2017 |
Event | 10th International Conference on Structural Dynamics, EURODYN 2017 - Rome, Italy Duration: 10 Sept 2017 → 13 Sept 2017 |
Abstract
Steel monopiles are support structures mostly applied for offshore wind turbines. Their installation is straightforward, in particular, in shallow and medium waters. While the wind turbine tower is primarily affected by wind, the wave loads are dominant for the monopile, as it is submerged to a large extent. This study deals with the influence of uncertainties in material and load parameters on the behaviour of those structures. It is investigated how the scattering of material properties (namely Young's modulus of elasticity) affect the structural response. In addition, loads with different characteristics are applied, and it is examined how the changes in loads influence the structural response. The analysed output data of interest are the extreme stresses leading to the accumulation of fatigue damage. In order for a realistic modelling, wave loads are considered with irregular sea states with different wave characteristics (significant wave heights and wave peak periods). The final aim of the analysis is to classify the effects of specific wave characteristics on the stresses by means of a sensitivity analysis. The analysis shows that variations in the wave peak period have the strongest influence on stress outputs. This effect results from the strong sensitivity of the structural dynamical response to the decrease of the difference between the values of the wave peak frequency and the natural frequencies of the structure.
Keywords
- Monopile substructure, Offshore wind energy, Sensitivity analysis, Uncertainties, Wave load
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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In: Procedia Engineering, Vol. 199, 12.09.2017, p. 1228-1233.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Sensitivity Analysis of Material and Load Parameters to Fatigue Stresses of an Offshore Wind Turbine Monopile Substructure
AU - Glišić, Ana
AU - Schaumann, Peter
AU - Broggi, Matteo
AU - Beer, Michael
N1 - Funding Information: The authors acknowledge with thanks the support of the European Commission’s Framework Program Ho“ rizon 2020,” through the Marie Skł odowska-Curie Innovative Training Networks (ITN) “AEOLUS4FUTURE - Efficient Publisher Copyright: © 2017 The Authors. Published by Elsevier Ltd. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/9/12
Y1 - 2017/9/12
N2 - Steel monopiles are support structures mostly applied for offshore wind turbines. Their installation is straightforward, in particular, in shallow and medium waters. While the wind turbine tower is primarily affected by wind, the wave loads are dominant for the monopile, as it is submerged to a large extent. This study deals with the influence of uncertainties in material and load parameters on the behaviour of those structures. It is investigated how the scattering of material properties (namely Young's modulus of elasticity) affect the structural response. In addition, loads with different characteristics are applied, and it is examined how the changes in loads influence the structural response. The analysed output data of interest are the extreme stresses leading to the accumulation of fatigue damage. In order for a realistic modelling, wave loads are considered with irregular sea states with different wave characteristics (significant wave heights and wave peak periods). The final aim of the analysis is to classify the effects of specific wave characteristics on the stresses by means of a sensitivity analysis. The analysis shows that variations in the wave peak period have the strongest influence on stress outputs. This effect results from the strong sensitivity of the structural dynamical response to the decrease of the difference between the values of the wave peak frequency and the natural frequencies of the structure.
AB - Steel monopiles are support structures mostly applied for offshore wind turbines. Their installation is straightforward, in particular, in shallow and medium waters. While the wind turbine tower is primarily affected by wind, the wave loads are dominant for the monopile, as it is submerged to a large extent. This study deals with the influence of uncertainties in material and load parameters on the behaviour of those structures. It is investigated how the scattering of material properties (namely Young's modulus of elasticity) affect the structural response. In addition, loads with different characteristics are applied, and it is examined how the changes in loads influence the structural response. The analysed output data of interest are the extreme stresses leading to the accumulation of fatigue damage. In order for a realistic modelling, wave loads are considered with irregular sea states with different wave characteristics (significant wave heights and wave peak periods). The final aim of the analysis is to classify the effects of specific wave characteristics on the stresses by means of a sensitivity analysis. The analysis shows that variations in the wave peak period have the strongest influence on stress outputs. This effect results from the strong sensitivity of the structural dynamical response to the decrease of the difference between the values of the wave peak frequency and the natural frequencies of the structure.
KW - Monopile substructure
KW - Offshore wind energy
KW - Sensitivity analysis
KW - Uncertainties
KW - Wave load
UR - http://www.scopus.com/inward/record.url?scp=85029900205&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2017.09.255
DO - 10.1016/j.proeng.2017.09.255
M3 - Conference article
AN - SCOPUS:85029900205
VL - 199
SP - 1228
EP - 1233
JO - Procedia Engineering
JF - Procedia Engineering
SN - 1877-7058
T2 - 10th International Conference on Structural Dynamics, EURODYN 2017
Y2 - 10 September 2017 through 13 September 2017
ER -