拓扑优化
拓扑(电路)
变量(数学)
集合(抽象数据类型)
功能(生物学)
水平集方法
数学优化
数学
缩小
计算机科学
结构工程
有限元法
数学分析
工程类
图像分割
组合数学
分割
人工智能
生物
进化生物学
程序设计语言
作者
Hongming Zong,Hui Liu,Qingping Ma,Ye Tian,Mingdong Zhou,Michael Yu Wang
标识
DOI:10.1016/j.cma.2019.05.029
摘要
This paper presents a variable cutting (VCUT) level set based topology optimization method to design functionally graded cellular structures (FGCS). A variable and continuous cutting function by interpolating with a set of height variables is proposed to generate functionally graded cellular structures, which offers a novel tool to optimize the macroscopic graded pattern. Due to the continuity of the cutting function, perfect geometric connections between adjacent cells are guaranteed without imposing extra constraints in the optimization. In addition, a solid covering skin can be easily attached to the FGCS by means of the variable cutting function. Three FGCS design problems, including graded density control, compliance minimization and layered cellular structure design, are presented to demonstrate the effectiveness and applicability of the proposed method. The optimized 2D and 3D macroscopic FGCS designs exhibit well-performing structural layout with fully connected micro-scale geometries.
科研通智能强力驱动
Strongly Powered by AbleSci AI