舰船封闭式桅杆雷达隐身优化分析

桅杆作为重要的雷达反射源,直接影响到舰船的整体隐身性能,对其进行外形雷达隐身优化非常有意义.在特定的雷达探测条件下,以某封闭式八边形桅杆为例,利用自适应遗传算法,分别以威胁区域内的雷达散射截面(RCS)最大值、平均值,被监测平均概率以及大于RCS临界值的概率4种评价指标为目标函数进行桅杆形状的特征参数优化,并对不同指标的优化结果进行对比分析.优化后桅杆的隐身性能均有明显提升,4种优化结果所对应的RCS面积分布具有一定的相似性,同时结果也表明针对特征角度的RCS优化是无效的.

Radar stealth optimization analyses of closed-wide mast of warship

Finite element method (FEM) is widely applied to the design and study of engineering as an approximate numerical method. However, it is necessary to estimate errors of FEM solutions and improve them when facing complicated problems which need more accurate results. Therefore, based on superconvergent patch recovery (SPR) method, the recovered fields of linear, bilinear and nonlinear polynomial are used for error estimation. The relationship between average relative errors and density of meshes is verified, and due to the comparison between recovered results and analytic results, the bilinear recovered field function is proved to be suitable for 3\|nodes triangular elements, and a more accurate estimation result can also be gained in the coarse mesh than the linear recovered field function.