Reliability analysis of monopiles for offshore wind turbines under lateral loading

Deviprasad, B.S.; Chatterjee, Santiram

doi:10.1016/j.oceaneng.2024.116829

Cited by 5 publications

(1 citation statement)

References 32 publications

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“…As an alternative to the traditional deterministic/semiprobabilistic approach used in IEC 61400-1, probabilistic approaches can be used for the design [8][9][10] and assessment [11] of wind turbines by explicitly considering the uncertainties present in the models, materials, and loads [12]. A reduction in uncertainties can be achieved by making use of data from measurement campaigns, operational monitoring, and tests.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Design Methods for Gust-Based Loads on Wind Turbines

Abhinav,

Sørensen,

Hammerum

et al. 2024

Energies

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The IEC 61400-1 standard specifies design load cases (DLCs) to be considered in the design of wind turbine structures. Specifically, DLC 2.3 considers the occurrence of a gust while the turbine shuts down due to an electrical fault. Originally, this load case used a deterministic wind event called the extreme operating gust (EOG), but the standard now also includes an approach for calculating the extreme response based on stochastic simulations with turbulent wind. This study presents and compares existing approaches with novel probabilistic design approaches for DLC 2.3 based on simulations with turbulent wind. First, a semiprobabilistic approach is proposed, where the inverse first-order reliability method (iFORM) is used for the extrapolation of the response for electrical faults occurring at a given rate. Next, three probabilistic approaches are formulated for the calculation of the reliability index, which differs in how the aggregation is performed over wind conditions and whether faults are modeled using a Poisson distribution or just by the rate. An example illustrates the methods considering the tower fore-aft bending moment at the tower base and shows that the approach based on iFORM can lead to reductions in material usage compared to the existing methods. For reliability assessment, the probabilistic approach using the Poisson process is needed for high failure rates, and the reliabilities obtained for designs using all semiprobabilistic methods are above the target level, indicating that further reductions may be obtained via the use of probabilistic design methods.

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Section: Introductionmentioning

confidence: 99%

Probabilistic Design Methods for Gust-Based Loads on Wind Turbines

Abhinav,

Sørensen,

Hammerum

et al. 2024

Energies

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A novel structural reliability analysis method combining the improved beluga whale optimization and the arctangent function‐based maximum entropy method

Wang,

Li,

Zhang

et al. 2024

Quality & Reliability Eng

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A novel structural reliability analysis method that combines the improved beluga whale optimization (IBWO) and the arctangent function‐based maximum entropy method (AMEM) is proposed in this paper. It aims to augment the accuracy of failure probability prediction in structural reliability analysis based on the traditional maximum entropy method (MEM). First, the arctangent function is introduced to avoid the effects of truncation error and numerical overflow in the traditional MEM. The arctangent function can nonlinearly transform the structural performance function defined on the infinite interval into a transformed performance function defined on the bounded interval. Subsequently, the undetermined Lagrange multipliers in the maximum entropy probability density function (MEPDF) of the transformed performance function are obtained using IBWO at a swifter convergence speed with heightened convergence accuracy. Finally, the MEPDF of the transformed performance function can be obtained by combining the IBWO and AMEM, and the structural failure probability can be predicted. The analysis of the metro bogie frame as an engineering example reveals that compared with the traditional MEM using the genetic algorithm to solve the Lagrange multipliers, the proposed method diminishes the relative error in failure probability prediction from 20.51% to only 0.09%. This method significantly enhances the prediction accuracy of failure probability.

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Enhanced support vector machine-based moving regression strategy for response prediction and reliability estimation of complex structure

Zhu,

Hao,

2024

Aerospace Science and Technology

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Reliability analysis of monopiles for offshore wind turbines under lateral loading

Cited by 5 publications

References 32 publications

Probabilistic Design Methods for Gust-Based Loads on Wind Turbines

Probabilistic Design Methods for Gust-Based Loads on Wind Turbines

A novel structural reliability analysis method combining the improved beluga whale optimization and the arctangent function‐based maximum entropy method

Enhanced support vector machine-based moving regression strategy for response prediction and reliability estimation of complex structure

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