Abstract. Uncertainty quantification is necessary in wind turbine design due to the random nature of environmental inputs, through which uncertainty structural loads and response under specific situations can be quantified. Specifically, turbulence (described by standard deviation longitudinal speed over a 10 min time duration) has significant impact on extreme fatigue envelope turbine. The par...

We have previously proposed a cross-validation (CV) based Gaussian mixture optimization method that efficiently optimizes the model structure based on CV likelihood. In this study, we propose aggregated cross-validation (AgCV) that introduces a bagging-like approach in the CV framework to reinforce the model selection ability. While a single model is used in CV to evaluate a held-out subset, Ag...