Statistical modeling of fully nonlinear hydrodynamic loads on offshore wind turbine monopile foundations using wave episodes and targeted CFD simulations through active sampling

Accurately determining hydrodynamic force statistics is crucial for designing offshore engineering structures, including offshore wind turbine foundations, due to the significant impact of nonlinear wave–structure interactions. However, obtaining precise load statistics often involves computationall...

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Veröffentlicht in:	Wind energy (Chichester, England) Jg. 27; H. 1; S. 75 - 100
Hauptverfasser:	Guth, Stephen, Katsidoniotaki, Eirini, Sapsis, Themistoklis P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis John Wiley & Sons, Inc 01.01.2024 Wiley
Schlagworte:	active sampling Bayesian analysis Computational fluid dynamics Computer applications Computing costs Constraint modelling Data reduction Fluid dynamics Foundations Gaussian process heavy tails and extreme events Hydrodynamics Learning algorithms Machine learning Mathematical models Offshore Offshore engineering Offshore structures optimal experimental design reduced order modeling Sampling Simulation Statistical analysis Statistical models Statistics Turbines Uncertainty wave episodes Wind power Wind turbines
ISSN:	1095-4244, 1099-1824, 1099-1824
Online-Zugang:	Volltext
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