摘要
大型游乐设备核心部件的设计校核多采用以材料力学为基础的传统计算方式。然而对于复杂的装配件,传统计算方法难以建立吻合度较高的力学模型,因此力学计算的结果难以真实反映承载特性。采用有限元软件ANSYS Workbench真实模拟桑巴塔回转架的2种典型工况,得到回转架在典型工况下的应力、变形分布情况,确定应力关键部位。根据有限元静力学分析结果当中最大应力与最大变形的富余程度提出可优化的参数变量,将基于ANSYS Workbench神经网络响应面法的多目标遗传优化算法应用于回转架钢结构的轻量化设计当中,得出最佳的优化参数配比,实现回转架结构自重减轻8.3%,完成桑巴塔回转架静力学分析与轻量化设计的"无缝"设计流程。
The design verification for core parts of large amusement equipment adopts traditional calculation based on mechanics of materials in most cases. However, for complex assembly, traditibnal calculation method is difficult to establish mechanical model with high alignment, so the mechanical calculation is difficult to reflect the load-bearing characteristics. Actually simulated 2 kinds of typical working conditions of Samba tower rotary frame by using ANSYS Workbench finite element software, got the stress and deformation status of rotary frame under typical conditions, determined the key stress parts. Put forward optimizable parameter variables based on the abundance of maximum stress and maximum deformation degree of finite element statics analysis results, applied multi-objective genetic algorithm based on ANSYS Workbench neural network response surface method in steel structure lightweighting for rotary frame, obtained the best ratio of optimization parameter variables ,reduced the weight of rotary frame by 8.3%, completed the ＂seamless＂ design, process of statics analysis and lightweight design for samba tower rotary frame.
出处
《机械设计与制造》
北大核心
2017年第8期96-99,共4页
Machinery Design & Manufacture
基金
中央高校基本科研业务费专项资金资助(2014ZT08)
关键词
大型游乐设备
回转架
有限元分析
多目标
轻量化设计
Large Amusement Equipment
Rotary Frame
The Finite Element Analysis
Multi-Objective
Lightweight Design
