In this study, the probabilistic structural design characteristics of the Fairlead Chain Stopper (FCS)—a detachable mooring apparatus applied to a 10 MW-class floating offshore wind turbine—were comparatively analyzed using various reliability ana...
In this study, the probabilistic structural design characteristics of the Fairlead Chain Stopper (FCS)—a detachable mooring apparatus applied to a 10 MW-class floating offshore wind turbine—were comparatively analyzed using various reliability analysis methods to ensure structural design safety. The thicknesses of the FCS's primary structural members were defined as random variables to reflect uncertainties due to manufacturing tolerances, which represent uncontrollable factors in the structural design process. Probabilistic performance functions were formulated based on the structural strength performances of the FCS, considering allowable stress criteria specified by classification society rules. To evaluate the probabilistic design performance in terms of reliability probability and computational cost, four reliability analysis methods were applied: the First Order Reliability Method (FORM), the Second Order Reliability Method (SORM), the Mean Value Reliability Method (MVRM), and the Adaptive Importance Sampling Method (AISM). In order to identify the most appropriate reliability analysis method for the probabilistic structural design of the FCS, the results of each method were compared against those of Monte Carlo Simulation (MCS). Among the methods considered, AISM was found to provide the most rational and efficient performance.