An efficient fatigue assessment model of offshore wind turbine using a half coupling analysis

Han, Chaoshuai; Mo, Changguan; Tao, Longbin; Ma, Yongliang; Xu, Bin

doi:10.1016/j.oceaneng.2022.112318

Cited by 7 publications

(3 citation statements)

References 31 publications

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“…where the dammage is computed with (1) to (8) The final probabilities of failure obtained for each of the three loads are reported in the Table 5.…”

Section: Comparison Of the Probabilities Of Failure Between The Rsn A...mentioning

confidence: 99%

“…Fatigue plays a predominant role in the performance of a large number of steel structures such as aircraft [3,4], ships [5,6,7] or offshore platforms [8,9]. In addition, these structures are subject to uncertainties in geometry [10,11], material [12,13] and loading [14,15,16] due to the presence of welded joints and environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bayesian calibration of a non linear damage model of steel structures with random material property: Sensitivity analysis and reliability assessment

Freyssinet,

Rey,

Schoefs

et al. 2023

Engineering Structures

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“…where the dammage is computed with (1) to (8) The final probabilities of failure obtained for each of the three loads are reported in the Table 5.…”

Section: Comparison Of the Probabilities Of Failure Between The Rsn A...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bayesian calibration of a non linear damage model of steel structures with random material property: Sensitivity analysis and reliability assessment

Freyssinet,

Rey,

Schoefs

et al. 2023

Engineering Structures

View full text Add to dashboard Cite

“…On the one hand, the short-term variability contributed by the stochastic wave necessitates multiple realizations to acquire statistical convergence. On the other hand, the simulation duration should be long enough to obtain sufficient low-frequency cycles to accurately estimate the mooring line's fatigue damage [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Novel Wave Energy Equivalence Based Lumping Block Method for Efficiently Predicting the Fatigue Damage of Mooring Lines

Guo,

Wang,

Guo

et al. 2023

JMSE

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The lumping block equivalent method (LBEM) is widely used to reduce the computational effort in the fatigue damage assessment of offshore structures, and the wave parameters of the representative sea states (RSSs) resulting from LBEM are of vital importance for the accurate prediction of offshore structures’ fatigue damage. In this study, a novel wave energy equivalence (WEE)-based LBEM is proposed to determine the wave parameters of the RSS accurately. The novelty of the proposed method is that a compact relationship between the input wave energy component and mooring lines’ fatigue damage is derived, and the modified statistical relationships between the wave parameters and spectral moments are provided by incorporating the effects of the peak enhancement factor of the input wave spectrum, the number of original sea states (OSSs) and the equivalence bandwidth of the OSSs. Based on the compact relationship, the wave energy component of the RSS can be determined from the wave energy component of the OSSs for each wave frequency from the viewpoint of the fatigue damage equivalence criterion. The wave energy distribution of the RSS can be accurately characterized with the wave energy distribution of the OSSs, and the spectral moments of the RSS can be calculated by its energy distribution directly, without any approximation. Moreover, the wave parameters of the RSS can be determined from the modified statistical relationships easily. The effectiveness of the proposed WEE LBEM is numerically investigated with a moored semi-submersible platform. Results show that the proposed WEE LBEM is robust, efficient and accurate within engineering expectations, and it outperforms the conventional LBEMs both in accuracy and robustness.

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A trustworthy intelligent offshore wind turbine fatigue crack propagation prediction framework from the probabilistic perspective

Li,

Qin,

Pan

et al. 2024

Ocean Engineering

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An efficient fatigue assessment model of offshore wind turbine using a half coupling analysis

Cited by 7 publications

References 31 publications

Bayesian calibration of a non linear damage model of steel structures with random material property: Sensitivity analysis and reliability assessment

Bayesian calibration of a non linear damage model of steel structures with random material property: Sensitivity analysis and reliability assessment

A Novel Wave Energy Equivalence Based Lumping Block Method for Efficiently Predicting the Fatigue Damage of Mooring Lines

A trustworthy intelligent offshore wind turbine fatigue crack propagation prediction framework from the probabilistic perspective

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