Multi-objective optimization of a rotating docking skirt structure considering changes in docking angle

This study considers a rotating docking skirt as the research object, which is commonly used for docking submersibles. Initially, its structural material and model and design variables are determined and the material parameters are obtained through tensile tests. Subsequently, a numerical simulation method is established for the docking skirt structure, which involves determining load, boundary conditions, and strength and stability analysis methods, and the structural analysis grid size is selected. Hydrostatic pressure tests are conducted on scale models at different docking angles, and the effectiveness of the numerical simulation method for the structure is verified. Next, point sampling is performed using the optimal Latin hypercube method. The response values of sample points are obtained using the numerical simulation method, the main effects of the design variables on these responses are analyzed, and high-precision approximate models are fitted using the sample points. A multi-objective optimization model for the studied structure is established; the multi-objective optimization problem is solved using the second-generation nondominated sorting genetic algorithm. The obtained optimization results provide a reference for the design of rotating docking skirts.