AUTHOR=Gaidai Oleg , Xing Yihan , Wang Fang , Wang Shuaishuai , Yan Ping , Naess Arvid TITLE=Improving Extreme Anchor Tension Prediction of a 10-MW Floating Semi-Submersible Type Wind Turbine, Using Highly Correlated Surge Motion Record JOURNAL=Frontiers in Mechanical Engineering VOLUME=8 YEAR=2022 URL=https://www.frontiersin.org/journals/mechanical-engineering/articles/10.3389/fmech.2022.888497 DOI=10.3389/fmech.2022.888497 ISSN=2297-3079 ABSTRACT=

Extreme value prediction of the load-effect responses of complex offshore structures such as the floating wind turbine (FWT) is crucial in ultimate limit state (ULS) design. This paper considers two cases to understand the feasibility of the bivariate correction on the extreme load and motion responses of a 10-MW semi-submersible type FWT. The empirical anchor tension force and surge motion used in this study are obtained from the FAST simulation tool (developed by the National Renewable Energy Laboratory) with the load cases stimulated at under-rated, rated and above rated speeds. Then, the bivariate correction method is applied to model FWT extreme response for a 5-years return period prediction with a 95% confidence interval (CI), based on just 2 min short response record. The proposed methodology permits accurate correction of the bivariate extreme value in case of, for example, corrupted measurement sensor data. Based on the proposed novel method’s performance, it is concluded that the bivariate correction method can offer better robust and precise bivariate predictions of coupled surge motion and anchor tension of the FWT.