12 citations as recorded by crossref.

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2. Bivariate statistics of floating offshore wind turbine dynamic response under operational conditions X. Xu et al. https://doi.org/10.1016/j.oceaneng.2022.111657
3. Fatigue design load calculations of the offshore NREL 5 MW benchmark turbine using quadrature rule techniques L. van den Bos et al. https://doi.org/10.1002/we.2470
4. OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization J. Gray et al. https://doi.org/10.1007/s00158-019-02211-z
5. Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines P. Bortolotti et al. https://doi.org/10.5194/wes-4-397-2019
6. Comparative study of short-term extreme responses and fatigue damages of a floating wind turbine using two different blade models X. Qu et al. https://doi.org/10.1016/j.apor.2020.102088
7. Statistical extrapolation methods and empirical formulae for estimating extreme loads on operating wind turbine towers Q. Yang et al. https://doi.org/10.1016/j.engstruct.2022.114667
8. Unifying Monolithic Architectures for Large-Scale System Design Optimization A. Joshy & J. Hwang https://doi.org/10.2514/1.J059954
9. Statistical modeling of fully nonlinear hydrodynamic loads on offshore wind turbine monopile foundations using wave episodes and targeted CFD simulations through active sampling S. Guth et al. https://doi.org/10.1002/we.2880
10. Uncertainty models for stochastic optimization in renewable energy applications A. Zakaria et al. https://doi.org/10.1016/j.renene.2019.07.081
11. Cross-entropy based importance sampling for stochastic simulation models Q. Cao & Y. Choe https://doi.org/10.1016/j.ress.2019.106526
12. A novel multi-dimensional reliability approach for floating wind turbines under power production conditions X. Xu et al. https://doi.org/10.3389/fmars.2022.970081