Articles | Volume 5, issue 1
Research article
29 Jan 2020
Research article |  | 29 Jan 2020

Reliability-based design optimization of offshore wind turbine support structures using analytical sensitivities and factorized uncertainty modeling

Lars Einar S. Stieng and Michael Muskulus

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Cited articles

Abdallah, I., Lataniotis, C., and Sudret, B.: Parametric hierarchical kriging for multi-fidelity aero-servo-elastic simulators – Application to extreme loads on wind turbines, Probabilist. Eng. Mech., 55, 67–77, 2019. a
Andersen, L., Vahdatirad, M., Sichani, M., and Sørensen, J.: Natural frequencies of wind turbines on monopile foundations in clayey soils – A probabilistic approach, Comput. Geotech., 43, 1–11, 2012. a
Aoues, Y. and Chateauneuf, A.: Benchmark study of numerical methods for reliability-based design optimization, Struct. Multidiscip. O., 41, 277–294, 2010. a
Ben-Tal, A., Ghaoui, L. E., and Nemirovski, A.: Robust Optimization, Princeton University Press, New Jersey, USA, 2009. a
Brochu, E., Cora, V. M., and de Freitas, N.: A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning, available at: (last access: 18 July 2019), 2010. a
Short summary
We present a framework for reducing the cost of support structures for offshore wind turbines that takes into account the many uncertainties that go into the design process. The results demonstrate how an efficient new approach, tailored for support structure design, allows the state of the art for design without uncertainties to be used within a framework that does include these uncertainties. This allows more realistic, and less conservative, design methods to be used for practical design.