Multi-objective structural optimization of submarine cable pallet based on Kriging-MOPSO

Abstract. Optimizing marine equipment is crucial for enhancing its overall performance, and numerous studies have explored the structural optimization of various marine systems. However, few investigations have focused on the design optimization of submarine cable pallets, despite their importance in marine operations. In this study, a static analysis of a submarine cable pallet under both lifting and transportation conditions was conducted using the finite-element method (FEM). The dimensions of key structural components were sampled using a design of experiment (DOE) approach. The resulting data were utilized to perform a sensitivity analysis on the pallet's performance indicators and to establish a surrogate model. This surrogate model was subsequently combined with a multi-objective particle swarm optimization (MOPSO) algorithm to optimize the pallet design. Specifically, the pallet base and the pallet fence were selected as the optimization targets under lifting and transportation conditions, respectively. The findings reveal significant improvements in the pallet's design, providing a valuable reference for the future structural engineering of submarine cable pallets.