摘要
采用双向结构渐进优化方法(BESO)研究斗轮轮体结构优化问题,获得了较清晰的结果。斗轮轮体为典型的循环对称结构,其几何特征导致其无法划分为均匀一致的网格,造成单元灵敏度与单元体积直接相关,优化结果具有体积依赖性,无法获得正确的结果。针对这一情况,并以单元灵敏度密度为依据进行双向结构渐进优化,在其中采用灵敏度密度过滤方法抑制棋盘格的产生,使用EPCM方法实现单元增删。结果表明,该方法在工程实际上有很大的灵活性和实用性。
The BESO (Bindireetion Evolutionary Structure Optimization) method is used to study the optimization of the wheel of bucket wheel stacker reclaimer in this paper, a clear result is obtained . The wheel is a typical cyclic - symmetry structure ,which can1 be divide into uniform finite element discretization . As a result ,the sensitivity result depends on the volume of the concerned finite element ,the final topology result is of element - volume - dependence , the correct topology result cant be obtained . For this reason ,the topology optimization of this paper bases on the element sensitivity density ,in which a sensitivity density filtering technique is used to control the checkerboard. , and the EPCM (Elements Proparties Changing Method) is used to add or remove elements . The result indicates that the method is with great flexibility and adaptability in actual project.
出处
《机械设计与研究》
CSCD
北大核心
2011年第1期91-93,98,共4页
Machine Design And Research
关键词
拓扑优化
棋盘格
灵敏度密度:循环对称结构
topology optimization
checkerboard
sensitivity density
cyclic - symmetry structure