随车起重机伸缩臂截面多目标优化

为了提高某火箭炮弹药装填车随车起重机伸缩臂的结构刚度,减轻结构质量,建立了随车起重机伸缩臂参数化模型,并对伸缩臂在水平受载状态下进行仿真分析。以伸缩臂截面尺寸参数为设计变量,借助最优拉丁超立方试验设计建立样本空间,构造响应面多项式函数近似模型。在此基础上,利用NSGA-Ⅱ型遗传算法对伸缩臂自身重量、挠度进行多目标优化。优化结果表明:伸缩臂质量减轻了24.5%,减重效果明显。文中所采用的将参数化建模、有限元分析和数值寻优相结合的优化方法,可为起重机伸缩臂截面优化提供一定的参考。

Multi-objective Optimization of Telescopic Boom Section of Truck-mounted Crane

In order to improve the structural rigidity of the telescopic boom of a rocket-propelled ammunition loader and reduce the structural quality,a parametric model of the telescopic boom of the truck-mounted crane was established,and the telescopic boom was simulated and analyzed under horizontal loading.Taking the telescopic arm section size parameter as the design variable,the sample space is established by the optimal Latin hypercube test design,and the response surface polynomial function approximation model is constructed.On this basis,the NSGA-Ⅱgenetic algorithm is used to optimize the multi-objective weight and deflection of the telescopic arm.The optimization results show that the weight of the telescopic arm is reduced by 24.5%and the weight loss effect is obvious.The optimization method combining parametric modeling,finite element analysis and numerical optimization used in this paper can provide a certain reference for the optimization of crane telescopic boom section.