基于响应面法的地坑式架车机轻量化研究

摘要

Traditional design methods of underfloor lifting system tend to be conservative.In order to take full advantages of the bearing capacity of its material,a structure weight optimization method was proposed and combined with the response surface approximate model method and op-timization technique.The method was based on multidisciplinary optimization software ISIGHT and ANSYS.With the analysis of design variables on the sensitivity of the response by optimal Latin hypercube experimental design method,and the final design variables were obtained. Then,the approximate model was optimized by using the multi-island genetic algorithm after the response surface model was established.Results showed that the method could greatly improve the efficiency of optimization,and the structure weight of underfloor lifting system reduced 20.64%,and the lightweight effect was obvious.The research results can provide theoretical guidance for the design of underfloor lifting system.%传统架车机设计方法往往趋于保守,为了充分发挥地坑式架车机材料的承载性能,将响应面近似模型法与优化技术相结合,提出一种以地坑式架车机结构自重为优化目标的优化方法.该方法基于多学科优化软件 ISIGHT和ANSYS,通过最优拉丁超立方试验设计方法分析设计变量对响应的灵敏度,获得最终设计变量,并建立响应面近似模型,利用多岛遗传算法对近似模型进行优化.结果表明,该方法能极大提高优化效率,同时使地坑式架车机结构自重降低20.64%,轻量化效果显著.研究结果可为地坑式架车机的设计提供理论指导.