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立柱结构是某设备升降系统的重要组成部分和承力部件。由于现有结构质量过大,给装配、运输带来很大不便。文中应用多项式响应面代理模型和遗传算法结合的优化方法对立柱进行优化,选取对立柱结构力学性能影响的较大参数为设计因素,利用正交试验设计获取样本点集构建出相应的等效应力代理模型和合位移代理模型。以质量最轻为优化目标,以代理模型小于允许值为约束条件,应用遗传算法对立柱结构进行优化。优化结果表明:优化后模型满足强度刚度设计要求,其质量减轻27.4%,优化运算时间有大幅度减少,具有一定的工程应用价值。
Column structure is an important part of the lifting system equipment and load-bearing components. Due to the excessive quality of the existing structure, it brings great inconvenience to assembly and transportation. In this paper, the optimal method of polynomial response surface agent model and genetic algorithm are used to optimize the column. The larger parameters that affect the mechanical properties of the column structure are selected as the design factors, and the sample points are obtained by orthogonal experimental design to construct the corresponding equivalent stress Acting model and co-displacement agent model. Taking the lightest quality as the optimization objective and the agent model smaller than the allowable value as the constraint conditions, the genetic algorithm is used to optimize the column structure. The optimization results show that the optimized model meets the design requirements of strength and stiffness, the quality is reduced by 27.4%, the optimization operation time is greatly reduced, and it has certain engineering application value.