基于响应面方法的UUV耐压舱结构优化

Optimal Design of UUV Ballast Tank Structure Based on Response Surface Method

为了提高无人水下航行器(UUV)耐压舱综合性能,平衡结构质量、结构强度和内部空间之间的矛盾,以柱状舱体外形结构参数为设计变量,通过拉丁超立方采样方法(LHD)得到试验样本点,根据耐压舱结构有限元分析结果,构建了具有较高拟合精度的二阶响应面耐压舱近似模型。以结构质量最小、有效体积最大和极限应力最小为目标函数,建立了优化数学模型,采用第二代非支配排序遗传算法(NSGA-Ⅱ)进行求解。优化后的舱体质量相比于初始方案降低了14.01%,达到了减重目的,并改善了环肋结构尺寸,减少了最大应力。以上研究结果可为UUV的耐压舱体结构优化设计提供参考,上述研究方法同样适用于UUV其它零部件的优化设计。

In order to improve the comprehensive performance of the ballast tank of the unmanned underwater vehicle(UUV)and balance the contradiction between structural quality,structural strength and internal space,the cylindrical hull shape structural parameters are taken as design variables,and the test sample points are obtained by the Latin hypercube sampling method(LHD).According to the finite element analysis results of the ballast tank structure,a second-order response surface ballast approximate model with high ftting accuracy was constructed.Taking the minimum structure mass,maximum effective volume and minimum ultimate stress as the objective functions,the optimization mathematical model was established and solved by the second-generation Non-dominated sorting genetic algorithm(NSGA-Ⅱ).Compared with the initial scheme,the weight of the optimized cabin is reduced by 14.01%,which achieves the purpose of weight reduction,improves the size of the ring rib structure,and reduces the maximum stress.The research results can provide a reference for the structural optimization design of the UUV ballast body,and the research method can also be applied to the optimization design of other UUV components.