水下爆炸载荷下舰船结构的多目标优化

水面舰船对轻量化和抗爆性能均有特殊的需求，而这两个目标此消彼长的关系又使得实现它们的途径相互矛盾。为找到能同时提高轻量化和抗爆性能的满意解，建立以板厚为变量的多目标优化模型。在优化过程中，通过参数化建模技术实现建模的自动化，数值模拟采用船体三舱段有限元模型，使用ABAQus／ExPLIcIT求解器进行非线性有限元分析，并在优化流程中引入实验设计和近似模型进行响应预报，在此基础上，还通过NSGA—II遗传算法进行多目标优化，得到优解。通过对优化后的船舯舱段与优化前的进行对比分析，发现重量和抗爆性能这两个目标分别有0．46％和22．51％的改进，实现了轻量化和抗爆性能的双向提升。

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 adjust- ing the thickness of double side hulls. Specifically, a FE model with three compartments is used for analy- sis, 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 opti- mal design presented here achieves a decrease in weight（0.d6%） as well as an increase in anti-explosion performance （22.51%）, which successfully validates the method.