Optimization of an air cushion vehicle bag and finger skirt using genetic algorithms
Optimization of an air cushion vehicle bag and finger skirt using genetic algorithms
复制标题
使用遗传算法优化气垫车载包和指裙
DOI：
10.1016/j.ast.2003.11.002
复制
发表时间：
2004
影响因子：
5.6
通讯作者：
Tae
中科院分区：
文献类型：
--
作者：
Joon Chung;Tae
气垫船是一种先进的船舶航行器，它不仅具有在粗糙表面上的优异性能，而且具有其他传统船舶无法达到的高速性能。因此，大量的装甲运兵车被用于各种目的和任务。目前公认的最新、最先进的裙装系统是柔性裙装系统--袋指裙。本文采用遗传算法（GA）对ACV的气囊和指裙系统几何形状进行优化，以修改不理想的升沉响应，以获得更好的乘坐质量。利用数学模型研究了袋-指裙系统二维截面的纯升沉运动。加拿大海岸警卫队（CCG）使用的37吨级车辆和美国海军使用的150吨级车辆的两种典型配置显示了与人类最敏感频率处的裙板质量相关的共振。通过遗传算法得到的新的裙板几何形状大大改善了这种影响，优化后的ACV的乘坐舒适性可以大大改善相比，在给定的约束条件下，如所需的车辆的硬结构尺寸和重量的原始配置。
The air cushion vehicle (ACV) is the advanced marine vehicle that provides not only excellent performance on rough surfaces but also the high speed that other conventional marine vehicles could not achieve. Hence, a large number of ACVs have been utilized for various purposes and missions. At the present the flexible skirt system, the bag and finger skirt, is recognized as the most updated and advanced skirt system. In this paper, the ACV's bag and finger skirt system geometry is optimized to modify an undesirable heave response for the better ride quality by using the Genetic Algorithm (GA). The pure heave motion of a two dimensional section of the bag and finger skirt system is investigated using a mathematical model. Two configurations representative of a 37 ton vehicle used by Canadian Coast Guard (CCG) and 150 ton vehicle used by US Navy show a resonance associated with the skirt mass at frequencies at which humans are most sensitive. New skirt geometry obtained by GA considerably ameliorates this effect, and the ride comfort of the optimized ACV can be greatly improved compare to the original configuration within the given constraints such as the required vehicle's hard structure dimensions and weight.