Intelligent Optimization of Wave-Piercing Bow Planing Crafts

When planing crafts navigate through sea waves, the direct interaction between the bow lines and the waves significantly affects their performance. This paper focuses on a particular planing craft and employs intelligent optimization design technology for the bow lines. It utilizes the NSGA-II algorithm, which is a fast and elitist non-dominated sorting genetic algorithm, to conduct two types of optimizations on the planing craft: one is the single-disciplinary optimization for static water navigation resistance at a single speed during the planing phase; the other is the multi-disciplinary optimization for resistance and seakeeping at a single speed in regular waves during the planing phase. The results indicate that, in the single-disciplinary optimization, the optimized hull form reduces the heave by about 19%. In the multi-disciplinary optimization, while the optimized hull form experiences an increase of about 10% in both static water navigation resistance and average wave resistance, the amplitude of acceleration, pitching, and heaving all decrease by about 20%. This demonstrates the feasibility and superiority of intelligent optimization design in improving the bow lines of wave-piercing planing crafts.