2017
DOI: 10.3390/en10122099
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Structural Reliability Analysis of Wind Turbines: A Review

Abstract: Abstract:The paper presents a detailed review of the state-of-the-art research activities on structural reliability analysis of wind turbines between the 1990s and 2017. We describe the reliability methods including the first-and second-order reliability methods and the simulation reliability methods and show the procedure for and application areas of structural reliability analysis of wind turbines. Further, we critically review the various structural reliability studies on rotor blades, bottom-fixed support … Show more

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Cited by 95 publications
(47 citation statements)
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“…MCS can be incorporated with variance reduction techniques, e.g., Latin hypercube sampling (LHS), weighted Latin hypercube sampling (WLHS), importance sampling, subset simulation, etc. [19,20,45,52].…”
Section: Introductionmentioning
confidence: 99%
“…MCS can be incorporated with variance reduction techniques, e.g., Latin hypercube sampling (LHS), weighted Latin hypercube sampling (WLHS), importance sampling, subset simulation, etc. [19,20,45,52].…”
Section: Introductionmentioning
confidence: 99%
“…The rapid development of offshore wind farms has been noticed with a trend of continued increasing in turbine size. The favor of larger offshore wind turbines (OWTs) results in decreasing costs of installation and grid connection per unit energy produced [1]. This comes with new challenges in offshore OWT installation.…”
Section: Introductionmentioning
confidence: 99%
“…Kim and Lee demonstrated their approach by application to OWT and jacket-type support structures under extreme wind and ocean wave loads. Recently, Jiang et al[156] have provided a detailed overview of structural reliability analysis of wind turbines. Ziegler et al[157] developed an efficient frequency-domain method for sensitivity analysis of wave-induced fatigue loads on offshore wind turbine monopile foundations.…”
mentioning
confidence: 99%