基于代理模型的空投装备气囊缓冲系统多目标优化  

Multi-objective optimization of an airbag cushion system for airdropping equipment based on surrogate model

作　　者：洪煌杰[1] 王红岩[1] 李建阳[1] 芮强[1] 

机构地区：[1]装甲兵工程学院机械工程系,北京100072

出　　处：《振动与冲击》2015年第3期215-220,共6页Journal of Vibration and Shock

基　　金：装甲兵工程学院创新基金项目(2011CJ019)

摘　　要：基于有限元法和控制体积法建立装备-气囊系统有限元模型,并采用试验数据对模型进行验证。复杂气囊系统着陆缓冲过程仿真计算资源消耗大,难以应用传统迭代方法进行参数优化。为克服这些问题,结合扩展拉丁超立方设计,以最大着陆冲击加速度和最大翻转角度为响应,采用径向基函数构建代理模型。在代理模型基础上,利用多目标遗传算法对主气囊高度、横向宽度及排气孔面积等气囊缓冲系统参数进行了多目标优化。优化结果表明:优化后最大冲击加速度减小了15.5%,最大翻转角度减小了70.3%,缓冲性能与横向稳定性均有所提高。Based on the finite element method and the control volume method,a finite element model of equipment and its airbag cushion system was established and verified with test data.The simulation of landing process of an airbag cushion system within one tenth of a second duration typically required ten hours of CPU time.As a result,the optimization of its design based on a nonlinear model was very difficult with the traditional iterative approach.In order to solve this problem to optimize the design of an airbag cushion system for airdropping equipment,surrogate models were employed instead of the complex finite element model based on extended Latin hypercube method and radial basis functions.Height of airbag,width of airbag and area of vent hole were chosen as design variables.Then,Pareto optimal solution sets based on response surfaces were obtained with the multi-objective genetic algorithm.The optimization results showed that the maximum impact acceleration reduces 19%,while the maximum attitude angle reduces 1%;the cushion performance and the lateral stability of the airbag cushion system are obviously improved.

关 键 词：气囊 缓冲 代理模型 多目标优化 

分 类 号：TJ811[兵器科学与技术—武器系统与运用工程] TJ811.91