Multi-Objective Optimization of Ship Structures Subjected to an Underwater Explosion

Naval vessels usually have special requirements in weight and anti-explosion performance， yet the push-pull between these two makes the realization of both objectives quite difficult. In this paper， a multi-objective optimization model is established to find a satisfactory solution that reduces the weight and improves the anti-explosion performance simultaneously， where the optimal design is achieved by adjusting the thickness of double side hulls. Specifically， a FE model with three compartments is used for analysis， and the technology of parametric modeling is introduced to accomplish automatic modeling. The ABAQUS/EXPLICIT solver is used for nonlinear finite element analysis， and DOE approximation models are adopted to forecast outputs. Also， the NSGA-II genetic algorithm is applied to obtain optimal solution in the multi-objective optimization process. Results show that compared with the initial design， the optimal design presented here achieves a decrease in weight（0.46%） as well as an increase in anti-explosion performance （22.51%）， which successfully validates the method.