@Article{icces.2023.09687,
AUTHOR = {Shu Dai, Bert Sweetman},
TITLE = {Numerical Simulation of Non-Gaussian Winds and Application on  Floating Offshore Wind Turbines},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {27},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v27n2/54167},
ISSN = {1933-2815},
ABSTRACT = {Short-term wind process is normally assumed to be a Gaussian distribution, such as TurbSim, the widely 
used 3D wind field tool. Nowadays, newest researches indicate that non-Gaussian wind model is believed to 
be more accurate according to the field observation data. A new numerical method is proposed to generate 
non-Gaussian wind filed using translation process theory and spectral representation method. This study 
presents a comprehensive investigation on power production and blades fatigue damage of floating offshore 
wind turbines (FOWTs) to the non-Gaussian wind field. The comparisons of Gaussian and non-Gaussian 
simulation results indicate that the non-Gaussian wind fields will cost obviously worse power performance 
and severe fatigue damage of FOWTs.},
DOI = {10.32604/icces.2023.09687}
}