铁路起重机伸缩臂的多目标模糊优化
发布时间：2018-08-09 16:16
【摘要】：在铁路起重机伸缩臂单目标普通优化的基础上,以N1002G铁路起重机伸缩臂为例,提出了多目标模糊优化的理论模型。其中以六边形二节伸缩臂的截面几何参数为设计变量,以强度、刚度、稳定性和几何约束等一系列具有模糊特性的限制条件为约束条件,以吊臂结构的总重量最小和整体稳定性最大这两个相互制约的要求为目标函数。 本文采用二级模糊综合评判确定铁路起重机吊臂结构的最优截集水平值,应用最优向量水平截集法将模糊多目标优化模型转化为普通多目标优化模型。在ISIGHT多学科优化软件平台上,应用多目标遗传算法NSGA-Ⅱ求解该优化模型,得到结构总重与整体稳定性这两个目标函数在可行解下的Pareto前沿,设计者可以根据需要在Pareto解集中选择适宜的设计方案。 本文最后利用VC++编写一个简单易用的程序界面,用户通过输入Pareto解集中的设计方案,可以实时生成APDL文件,然后调用ANSYS有限元分析程序对优化结果进行分析、验证。 实例证明,文中提出的模型符合铁路起重机伸缩臂设计的实际情况,有关算法及程序实用可行。本文应用多目标遗传算法NSGA-Ⅱ,得到优化模型的多目标不同权重下的Pareto解,供设计人员自行选择,提高了设计的灵活性。文中以六边形二节伸缩臂为例,建立了一般性的理论模型,故对各种截面多节臂的伸缩臂多目标优化设计,也具有普遍的适用价值。
[Abstract]:Based on the single objective general optimization of the telescopic boom of railway crane and taking N1002G railway crane telescopic boom as an example, a theoretical model of multi-objective fuzzy optimization is proposed. The geometric parameters of hexagonal two-section telescopic arm are taken as design variables, and a series of fuzzy constraints such as strength, stiffness, stability and geometric constraints are taken as constraints. The objective function is the minimum total weight and the maximum global stability of the cantilever structure. In this paper, the two-stage fuzzy comprehensive evaluation is used to determine the optimal level of the cut set of the crane boom structure. The fuzzy multi-objective optimization model is transformed into the ordinary multi-objective optimization model by using the optimal vector horizontal cut set method. On the platform of ISIGHT multidisciplinary optimization software, the multi-objective genetic algorithm NSGA- 鈪，
本文编号：2174642
[Abstract]:Based on the single objective general optimization of the telescopic boom of railway crane and taking N1002G railway crane telescopic boom as an example, a theoretical model of multi-objective fuzzy optimization is proposed. The geometric parameters of hexagonal two-section telescopic arm are taken as design variables, and a series of fuzzy constraints such as strength, stiffness, stability and geometric constraints are taken as constraints. The objective function is the minimum total weight and the maximum global stability of the cantilever structure. In this paper, the two-stage fuzzy comprehensive evaluation is used to determine the optimal level of the cut set of the crane boom structure. The fuzzy multi-objective optimization model is transformed into the ordinary multi-objective optimization model by using the optimal vector horizontal cut set method. On the platform of ISIGHT multidisciplinary optimization software, the multi-objective genetic algorithm NSGA- 鈪，
本文编号：2174642
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