Ocean University of China
the Fundamental Research Funds for the Central Universities（202165009, 202113031);natural Science Foundation of Shandong Province（ZR2021ME014）
As an important part of the jack-up offshore platform spudcan have the problems of bulky structure and unequal stress distribution.?Aiming at JU2000E spudcan of jack-up offshore platform, finite element model is established by ANSYS?software. According to the ABS specification, the strength analysis and verification are carried out under the conditions of pre-ballast and storm self-storage. The thickness of each structure plate of spudcan is used as the optimal design variable, and the sample points are selected by optimal Latin hypercube sampling. Combined with the radial basis (RBF) neural network algorithm, the surrogate models of design variables and each response were established, and the multi-objective optimization of spudcan was carried out based on the second generation Non-inferior solution genetic algorithm (NSGA-Ⅱ).?The simulation results show that the weight of the optimized spudcan is reduced, the stress is reduced and the distribution is more uniform.