Fully integrated load analysis included in the structural reliability assessment of a monopile supported offshore wind turbine

Peeringa, J.M.

doi:10.1016/j.egypro.2017.10.348

Cited by 11 publications

(15 citation statements)

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“…Hübler et al 5 Robertson et al 9 Toft et al 11 Teixeira et al 8 Peeringa &Bedon 4 Velarde et al 6 Turbine size (MW) studies regarding either the parameters considered, or the parameters identified as important. This may be caused both by different sensitivities for different turbines and foundations, as well as by the level of uncertainty assumed in the studies.…”

Section: Referencementioning

confidence: 99%

“…The drag coefficient is assumed normally distributed with a mean of 0.7 and a standard deviation of 0.1. 4,13 In principle, there is a relationship between the marine growth and the drag coefficient. However, the drag coefficient depends on the surface roughness of the marine growth, not the thickness.…”

Section: Wind-wave Misalignmentmentioning

confidence: 99%

“…3 These parameters should be given particular focus during the design process, and they can be identified through a sensitivity analysis (SA). Numerous SAs and reliability studies have been performed on individual OWTs, [4][5][6][7][8][9][10][11][12][13][14] with size varying from 4 to 10 MW. The results from selected studies considering several uncertain parameters are summarised in Table 1.…”

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confidence: 99%

“…Many of these have considered a limited number of design parameters, while others are more extensive. [4][5][6]8,10,11 Others again have focused on uncertainties from selected engineering disciplines, for example, aerodynamics. 9,11 However, there is no clear consensus between the T A B L E 1 Selected previous sensitivity analyses for monopile OWTs…”

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confidence: 99%

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Fatigue design sensitivities of large monopile offshore wind turbines

et al. 2022

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The input for fatigue analyses of offshore wind turbines is typically chosen based on design values provided by design standards. While this provides a straightforward design methodology, the contribution of different input parameters to the uncertainty in the fatigue damage estimates is usually unknown. This knowledge is important to have when improving current designs and methodologies, and the parameters governing the uncertainty is typically found through a sensitivity analysis. Several sensitivity studies have been performed for monopile‐based offshore wind turbines, typically focusing on specific turbines and engineering disciplines. This paper performs a sensitivity study for three monopile‐based offshore wind turbines (5 MW, 10 MW, 15 MW) using parameters from several engineering disciplines. The results show that the fatigue utilization is primarily governed by the uncertainty in the SN curves and fatigue capacity. Following this, the uncertainty in the environmental conditions is the dominating uncertainty, with wind loads becoming increasingly important as turbine size increases. Additionally, the effect of modelling uncertainties is investigated. The wind‐related model uncertainties dominate in the tower top, while uncertainties in the wave and soil models dominate in the tower base and monopile. Designers wanting to reduce the uncertainty in a design are recommended to focus on the environmental conditions, and using as accurate models as possible. All modelling uncertainties are significant, but research should particularly be focused on wave directionality and soil models.

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Section: Referencementioning

confidence: 99%

Section: Wind-wave Misalignmentmentioning

confidence: 99%

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confidence: 99%

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Fatigue design sensitivities of large monopile offshore wind turbines

et al. 2022

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“…In most cases, ensuring a certain reliability value has been shown to drive the cost of the structure to around 30% of the entire OWT because conservative design approaches are often employed to make up for the model input-parameters uncertainties in the model response [5]. Several probabilistic analyses have been conducted using simplified methods to account for model inputparameters uncertainties in a more sophisticated fashion [1,6,15]. However, those analyses have failed to systematically account for uncertainties, leading eventually to underestimations or overestimations of the reliability [16].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure

Nispel

Ekwaro-Osire

Dias

et al. 2021

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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This study aims to address the question: can the structural reliability of an offshore wind turbine (OWT) under fatigue loading conditions be predicted more consistently? To respond to that question this study addresses the following specific aims: (1) to obtain a systematic approach that takes into consideration the amount of information available for the uncertainty modeling of the model input parameters, and (2) to determine the impact of the most sensitive input parameters on the structural reliability of the OWT through a surrogate model. First, a coupled model to determine the fatigue life of the support structure considering the soil-structure interaction under 15 different loading conditions was developed. Second, a sensitivity scheme using two global analyses was developed to consistently establish the most and least important input parameters of the model. Third, a systematic uncertainty quantification (UQ) scheme was employed to model the uncertainties of model input parameters based on their available-data-driven and physics-informed-information. Finally, the impact of the proposed UQ framework on the OWT structural reliability was evaluated through the estimation of the probability of failure of the structure based on the fatigue limit state design criterion. The results show high sensitivity for the wind speed and moderate sensitivity for parameters usually considered as deterministic values in design standards. Additionally, it is shown that applying systematic UQ not only produces a more efficient and better approximation of the fatigue life under uncertainty, but also a more accurate estimation of the structural reliability of offshore wind turbine's structure during conceptual design. Consequently, more reliable, and robust estimations of the structural designs for large offshore wind turbines with limited information may be achieved during the early stages of design.

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