Modelling the Capacity of Suction Caisson Anchors based on Fuzzy Theory

摘要

This paper develops a fuzzy model for predicting uplift capacityrnof suction caisson foundations for offshore platforms. Thernaspect ratio of the caisson (L/d), the undrained shear strength ofrnthe clay soil in which the caisson is installed (S_u), the relativerndepth of the lug to which the caisson force is applied (D/L), thernangle that the chain force makes with the horizontal (θ), and thernloading rate defined with respect to the soil permeability (T_k) arernused as the input variables. The output of the proposed fuzzyrnmodel is the predicted ultimate capacity of the suction caisson.rnThe benchmark artificial neural network (ANN) model is usedrnas baseline. Comparisons of the trained fuzzy model with therndata demonstrate and the results of ANN that the proposedrnmodeling framework is an effective way to capture complexrnbehavior of suction caisson systems.